Commit Graph

276 Commits

Author SHA1 Message Date
Loubna Ben Allal
286a18fa00
Fix codeparrot deduplication - ignore whitespaces (#18023)
* ignore whitspaces for hash

* reformat code

* Update README.md
2022-07-28 15:58:26 +02:00
Sylvain Gugger
cf32b2ee42
Remove all uses of six (#18318)
* Remove all uses of six

* fix quality
2022-07-27 08:39:09 -04:00
Loubna Ben Allal
1d71ad8905
Update CodeParrot readme to include training in Megatron (#17798)
* add info about megatron training

* upload models and datasets from CodeParrot organization

* upload models and datasets from CodeParrot organization

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* fix typo and add comment about codeparrot vs megatron

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
2022-07-27 11:59:08 +02:00
Duong A. Nguyen
1e8140caad
Fix RESOURCE_EXHAUSTED error when dealing with large datasets in Flax example scripts (#18069)
* Fix RESOURCE_EXHAUSTED error for large datasets on Flax example scripts

* using np.permutation for creating batch_idx

* train_samples_idx -> training_samples_idx

* fix type hints
2022-07-11 15:59:08 +02:00
Yulv-git
95113d1365
Fix some typos. (#17560)
* Fix some typos.

Signed-off-by: Yulv-git <yulvchi@qq.com>

* Fix typo.

Signed-off-by: Yulv-git <yulvchi@qq.com>

* make fixup.
2022-07-11 05:00:13 -04:00
Zachary Mueller
7c4c6f6084
Fix all is_torch_tpu_available issues (#17936)
* Fix all is_torch_tpu_available
2022-06-29 11:03:33 -04:00
dependabot[bot]
c366ce1011
Bump numpy from 1.21.0 to 1.22.0 in /examples/research_projects/lxmert (#17817)
Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 to 1.22.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst)
- [Commits](https://github.com/numpy/numpy/compare/v1.21.0...v1.22.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
...

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2022-06-22 09:29:40 -04:00
dependabot[bot]
af0d21e741
Bump numpy in /examples/research_projects/visual_bert (#17816)
Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 to 1.22.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst)
- [Commits](https://github.com/numpy/numpy/compare/v1.21.0...v1.22.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
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2022-06-22 09:29:28 -04:00
Jia LI
da2bd2ae96
[CodeParrot] Near-deduplication with jaccard similarity (#17054)
* deduplication draft

* update style

* update style test

* dummy test main

* rename modules

* rename functions

* return extremes in deduplicate_clusters

* update style

* cast str for gzip

* update doc string

* time processing

* use dataset map to compute minhash

* fill value for short token

* remove da map method

* update style

* use share object to multiprocess

* update style

* use f-string and minor fix

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>

* update style

* use module parameters

* change ds_dedup to ds_filter

* save ds_dedup

* mv test to script tests

* make jaccard threshold a parameter of deduplicate_dataset

* update style

* add doc strings

* update style

* add doc string for DuplicationIndex

* save files into data dir

* update readme

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>

* make near deduplication optional

* move near deduplication in README

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* use f string

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>
2022-06-21 14:23:36 +02:00
dependabot[bot]
e44a569fef
Bump notebook in /examples/research_projects/lxmert (#17743)
Bumps [notebook](http://jupyter.org) from 6.4.10 to 6.4.12.

---
updated-dependencies:
- dependency-name: notebook
  dependency-type: direct:production
...

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2022-06-17 12:10:33 -04:00
dependabot[bot]
5089a2d412
Bump notebook in /examples/research_projects/visual_bert (#17742)
Bumps [notebook](http://jupyter.org) from 6.4.10 to 6.4.12.

---
updated-dependencies:
- dependency-name: notebook
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2022-06-17 12:10:17 -04:00
Shamane Siri
9068fa6c57
Rag end2end new (#17650)
* check

* update the RAG-end2end with new PL and RAY

* removed unwanted comments
2022-06-14 14:56:32 +02:00
Loubna Ben Allal
3114df41f4
update README.md (#17657)
- use CodeParrot scores of v1.1
- change evaluation command to use accelerate
2022-06-10 15:55:24 +02:00
Simon Brandeis
c99ddcc441
🐛 Properly raise RepoNotFoundError when not authenticated (#17651)
* Raise RepoNotFoundError in case of 401

* Include changes from revert-17646-skip_repo_not_found

* Add a comment

* 💄 Code quality

* 💚 Update `get_from_cache` test

* 💚 Code quality & skip failing test
2022-06-10 15:41:53 +02:00
dependabot[bot]
1d463303fe
Bump cookiecutter in /examples/research_projects/decision_transformer (#17645)
Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.2 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.2...2.1.1)

---
updated-dependencies:
- dependency-name: cookiecutter
  dependency-type: direct:production
...

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2022-06-10 04:27:51 -04:00
dependabot[bot]
1ef9a1ed4a
Bump tensorflow in /examples/research_projects/decision_transformer (#17400)
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.8.0 to 2.8.1.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/compare/v2.8.0...v2.8.1)

---
updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
...

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2022-05-24 19:36:55 -04:00
NielsRogge
31ee80d556
Add LayoutLMv3 (#17060)
* Make forward pass work

* More improvements

* Remove unused imports

* Remove timm dependency

* Improve loss calculation of token classifier

* Fix most tests

* Add docs

* Add model integration test

* Make all tests pass

* Add LayoutLMv3FeatureExtractor

* Improve integration test + make fixup

* Add example script

* Fix style

* Add LayoutLMv3Processor

* Fix style

* Add option to add visual labels

* Make more tokenizer tests pass

* Fix more tests

* Make more tests pass

* Fix bug and improve docs

* Fix import of processors

* Improve docstrings

* Fix toctree and improve docs

* Fix auto tokenizer

* Move tests to model folder

* Move tests to model folder

* change default behavior add_prefix_space

* add prefix space for fast

* add_prefix_spcae set to True for Fast

* no space before `unique_no_split` token

* add test to hightligh special treatment of added tokens

* fix `test_batch_encode_dynamic_overflowing` by building a long enough example

* fix `test_full_tokenizer` with add_prefix_token

* Fix tokenizer integration test

* Make the code more readable

* Add tests for LayoutLMv3Processor

* Fix style

* Add model to README and update init

* Apply suggestions from code review

* Replace asserts by value errors

* Add suggestion by @ducviet00

* Add model to doc tests

* Simplify script

* Improve README

* a step ahead to fix

* Update pair_input_test

* Make all tokenizer tests pass - phew

* Make style

* Add LayoutLMv3 to CI job

* Fix auto mapping

* Fix CI job name

* Make all processor tests pass

* Make tests of LayoutLMv2 and LayoutXLM consistent

* Add copied from statements to fast tokenizer

* Add copied from statements to slow tokenizer

* Remove add_visual_labels attribute

* Fix tests

* Add link to notebooks

* Improve docs of LayoutLMv3Processor

* Fix reference to section

Co-authored-by: SaulLu <lucilesaul.com@gmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-05-24 09:53:45 +02:00
Loubna Ben Allal
b48ac1a094
Fix CodeParrot training script (#17291)
* average loss over batches and accumulated steps for tracking

* fix layernorm weight decay

* use AdamW from Pytorch instead of Transformers

* add shuffling of sequences inside the batches

* add shuffling of sequences inside the batches

* add logging dir and reformat code

* fix lr tracking

* remove Mistral scaling

* keep Mistral scaling

* reformat code

* fix error

* fix error

* use shuffling function from Pytorch

* remove argument for shuffling batch sequences as it isn't optional

* update package versions and install accelerate from source

* remove unused package

* Update loss average over accumulated steps

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update loss average over accumulated steps

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* use one shuffle buffer argument

* compute avg_loss in one line

Co-authored-by: Loubna ben allal <loubnabenallal@gmail.com>
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
2022-05-23 12:55:35 +02:00
ddobokki
48c22691e3
Fix bug in Wav2Vec2 pretrain example (#17326) 2022-05-19 22:42:44 +02:00
Sylvain Gugger
4710702837 Fix style 2022-05-18 10:46:40 -04:00
mraunak
5fdb54ece7
Add Information Gain Filtration algorithm (#16953)
* Add information gain filtration algorithm

* Complying with black requirements

* Added author

* Fixed import order

* flake8 corrections

Co-authored-by: Javier Turek <javier.turek@intel.com>
2022-05-18 10:39:02 -04:00
Loubna Ben Allal
05a90579a8
CodeParrot data pretokenization (#16932)
* add pretokenization arguments

* add pretokenization script

* add support for pretokenized data

* reformat code

* fix run command for training

* fix model call from config

* remove a package

* add comments on pretokenization in the readme

* remove explicit parallelization

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* update readme

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* update readme -remove username

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* update readme -remove username

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* keep data parallelization

* reformat code

* reformat code

* update readme

* reformat code

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna ben allal <loubnabenallal@gmail.com>
2022-05-16 15:32:16 +02:00
Loubna Ben Allal
e730e12567
Update codeparrot data preprocessing (#16944)
* add new preprocessing arguments

* add new filters

* add new filters to readme

* fix config and test count, update function names and docstrings

* reformat code

* update readme

* Update readme

* rename config_test filter

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* rename few_assignments filter

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* rename tokenizer in arguments

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* rename functions and add limit_line argument for config_test filter

* update threshold for config_test filter

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna ben allal <loubnabenallal@gmail.com>
2022-05-16 14:43:25 +02:00
Kenneth Enevoldsen
71d18d0831
fixed bug in run_mlm_flax_stream.py (#17203)
* fixed bug run_mlm_flax_stream.py

Fixed bug caused by an update to tokenizer keys introduced in recent transformers versions (between `4.6.2` and `4.18.0`) where additional keys were introduced to the tokenizer output.

* Update run_mlm_flax_stream.py

* adding missing paranthesis

* formatted to black

* remove cols from dataset instead

* reformat to black

* moved rem. columns to map

* formatted to black

Co-authored-by: KennethEnevoldsen <kennethcenevolsen@gmail.com>
2022-05-16 13:40:27 +02:00
Sylvain Gugger
afe5d42d8d
Black preview (#17217)
* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black
2022-05-12 16:25:55 -04:00
Zachary Mueller
d719bcd46a
Fix all docs for accelerate install directions (#17145) 2022-05-09 15:45:18 -04:00
dependabot[bot]
2bf95e2b09
Bump notebook from 6.4.1 to 6.4.10 in /examples/research_projects/lxmert (#16634)
Bumps [notebook](http://jupyter.org) from 6.4.1 to 6.4.10.

---
updated-dependencies:
- dependency-name: notebook
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2022-05-04 08:27:40 -04:00
dependabot[bot]
7a229ef446
Bump notebook in /examples/research_projects/visual_bert (#16635)
Bumps [notebook](http://jupyter.org) from 6.4.1 to 6.4.10.

---
updated-dependencies:
- dependency-name: notebook
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2022-05-04 08:27:27 -04:00
Thomas Wang
db034660fb
Fix hashing for deduplication (#17048) 2022-05-04 08:40:24 +02:00
Pavel Belevich
39f8eafc1b
Remove device parameter from create_extended_attention_mask_for_decoder (#16894) 2022-05-03 11:06:11 -04:00
conan1024hao
1be8d56ec6
Add parameter --config_overrides for run_mlm_wwm.py (#16961)
* dd parameter --config_overrides for run_mlm_wwm.py

* linter
2022-04-28 10:44:55 -04:00
Anton Lozhkov
a4a88fa09f
[Research] Speed up evaluation for XTREME-S (#16785)
* Avoid repeated per-lang filtering

* Language groups and logits preprocessing

* Style
2022-04-27 08:34:21 +02:00
code-review-doctor
6568752039
Fix issue probably-meant-fstring found at https://codereview.doctor (#16913) 2022-04-25 15:15:00 -04:00
Sanchit Gandhi
fea94d6790
Replace deprecated logger.warn with warning (#16876) 2022-04-25 15:12:51 -04:00
Loubna Ben Allal
d91841315a
New features for CodeParrot training script (#16851)
* add tflops logging and fix grad accumulation

* add accelerate tracking and checkpointing

* scale loss of last batch correctly

* fix typo

* compress loss computation

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* add resume from checkpoint argument

* add load_state accelerate from checkpoint, register lr scheduler and add tflops function

* reformat code

* reformat code

* add condition on path for resume checkpoint

* combine if conditions

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* add source for tflops formula

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
2022-04-21 18:43:46 +02:00
Suraj Patil
d3bd9ac728
[Flax] improve large model init and loading (#16148)
* begin do_init

* add params_shape_tree

* raise error if params are accessed when do_init is False

* don't allow do_init=False when keys are missing

* make shape tree a property

* assign self._params at the end

* add test for do_init

* add do_init arg to all flax models

* fix param setting

* disbale do_init for composite models

* update test

* add do_init in FlaxBigBirdForMultipleChoice

* better names and errors

* improve test

* style

* add a warning when do_init=False

* remove extra if

* set params after _required_params

* add test for from_pretrained

* do_init => _do_init

* chage warning to info

* fix typo

* add params in init_weights

* add params to gpt neo init

* add params to init_weights

* update do_init test

* Trigger CI

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update template

* trigger CI

* style

* style

* fix template

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-04-19 14:19:55 +02:00
Tu Vu
34ef029dc0
Add self training code for text classification (#16738)
* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Delete strata
2022-04-13 12:03:24 -04:00
Shang Zhang
14daa6102a
Qdqbert example add benchmark script with ORT-TRT (#16592)
* add ort-trt benchmark script

* Update README.md

* ort version can be newer

* formatting

* specify ORT version
2022-04-12 11:13:59 -04:00
Zachary Mueller
69233cf03b
Fix example logs repeating themselves (#16669)
Move declaration of log streams to before tests, so that results won't get compounded on top of each other
2022-04-11 16:25:16 -04:00
Jia LI
4868a830db
Jia multi gpu eval (#16428)
* add simple multi gpu complet

* add human_eval_multi_gpu

* use copy strategy to distribute across gpu, to avoid padding

* add doc string

* update code style

* use task id to arrange output

* truncate input to avoid zero pad

* Stop the copy mechanism

* update style

* restore copies to scale better in distributed mode

* update style

* replace human eval

* Apply suggestions from code review

1. Tokenize all input at the same time
2. use attention_mask to get the input length
3. other small fixes

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* correct typo and update docstring

* update code style

* remove num sample division constraint

* remove max len calculation

* use accelerator.gather once to speed up

* use accelerate set_seed; update accelerate version

* correct gather bug

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
2022-04-11 11:24:32 +02:00
NielsRogge
4ef0abb738
Add TAPEX (#16473)
* Add TapexTokenizer

* Improve docstrings and provide option to provide answer

* Remove option for pretokenized inputs

* Add TAPEX to README

* Fix copies

* Remove option for pretokenized inputs

* Initial commit: add tapex fine-tuning examples on both table-based question answering and table-based fact verification.

* - Draft a README file for running the script and introducing some background.
- Remove unused code lines in tabfact script.
- Disable the deafult `pad_to_max_length` option which is memory-consuming.

* * Support `as_target_tokenizer` function for TapexTokenizer.
* Fix the do_lower_case behaviour of TapexTokenizer.
* Add unit tests for target scenarios and cased/uncased scenarios for both source and target.

* * Replace the label BartTokenizer with TapexTokenizer's as_target_tokenizer function.
* Fix typos in tapex example README.

* * fix the evaluation script - remove the property `task_name`

* * Make the label space more clear for tabfact tasks

* * Using a new fine-tuning script for tapex-base on tabfact.

* * Remove the lowercase code outside the tokenizer - we use the tokenizer to control whether do_lower_case
* Guarantee the hyper-parameter can be run without out-of-memory on 16GB card and report the new reproduced number on wikisql

* * Remove the default tokenizer_name option.
* Provide evaluation command.

* * Support for WikiTableQuestion dataset.

* Fix a typo in README.

* * Fix the datasets's key name in WikiTableQuestions

* Run make fixup and move test to folder

* Fix quality

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply some more suggestions from code review

* Improve docstrings

* Overwrite failing test

* Improve comment in example scripts

* Fix rebase

* Add TAPEX to Auto mapping

* Add TAPEX to auto config mappings

* Put TAPEX higher than BART in auto mapping

* Add TAPEX to doc tests

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
Co-authored-by: SivilTaram <qianlxc@outlook.com>
Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-04-08 10:57:51 +02:00
Anton Lozhkov
5807054bd3
[research] link to the XTREME-S paper (#16519)
* [research] link to the XTREME-S paper

* Update examples/research_projects/xtreme-s/README.md

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
2022-03-31 23:26:50 +04:00
Stas Bekman
a73281e3e4
[examples] max samples can't be bigger than the len of dataset (#16501)
* [examples] max samples can't be bigger than then len of dataset

* do tf and flax
2022-03-30 12:33:16 -07:00
Shang Zhang
7ecbb9c5e4
QDQBert example update (#16395)
* update Dockerfile and utils_qa

* Update README.md
2022-03-28 05:47:52 -04:00
Nathan Cooper
f5e8c9bdea
Update readme with how to train offline and fix BPE command (#15897)
* Update readme with how to train offline and fix BPE command

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
2022-03-24 11:00:46 +01:00
Edward Beeching
aff9bc405a
Decision transformer gym (#15845)
* Created the Decision Transformer Modle

* updating tests, copy to other machine

* Added last hidden size to Decision Transformer modelling outputs

* Removed copy of original DT file

* made a temporary change to gpt2 to have it conform with the Decision Transformer version

* Updated tests

* Ignoring a file used to test the DT model

* added comments to config file

* added comments and argument descriptions to decision transformer file

* Updated doc

* Ran "make style"

* Remove old model imports

* Removed unused imports, cleaned up init file

* Update docs/source/model_doc/decision_transformer.mdx

added my username

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Reverted changes made to gpt2

* Removed datasets submodule

* Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states

* Added support for return of hidden states, attentions and return dict of gpt2 model.

* Updated tests to include many of the ModelTesterMixin tests. 

The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes

* Added missing line to the end of gpt2 file

* Added an integration test for the Decision Transformer

Test performs and autoregressive evaluation for two time steps

* Set done and info to _ to fix failing test

* Updated integration test to be deterministic and check expected outputs

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unnecessary config options

* Cleaned up commented code and old comments.

* Cleaned up commented code.

* Changed DecisionTransformer to Decision Transformer

* Added Decision Transformer to the main README file

* Added copy of GTP2 called DecisionTranformerGPT2Model

* isorted imports

* isorted imports

* Added model to non-English README files

* Ran make fix-copies and corrected some cases.

* Updated index file to include Decision Transformer

* Added gpt2 model as copy inside the Decision Transformer model file

* Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS

* Deleted redundant checkpoint files (I don't know how these got committed)

* Removed testing files. (These should have never been committed)

* Removed accidentally committed files

* Moved the Decision Transformer test to its own directory

* Add type hints for Pegasus (#16324)

* Funnel type hints (#16323)

* add pt funnel type hints

* add tf funnel type hints

* Add type hints for ProphetNet PyTorch (#16272)

* [GLPN] Improve docs (#16331)

* Add link to notebook

* Add link

* Fix bug

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Added type hints for Pytorch Marian calls (#16200)

* Added type hinting for forward functions in pytorch marian

* typo correction

* Removed type hints on functions from BART per Suraj Patil request

* fix import pb

* fix typo

* corrected tuple call

* ran black

* after fix-copies
Some optional tags on primitives were removed, past_key_values in MarianForCausalLM changed from Tuple of Tuple to List

* Fixing copies to roformer and pegasus

Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>

* Moved DecisionTransformOutput to modeling_decision_transformer

* Moved the example usage to research project and cleaned comments

* Made tests ignore the copy of gpt2 in Decision Transformer

* Added module output to modelling decision transformer

* removed copied gpt2 model from list of transformers models

* Updated tests and created __init__ file for new test location

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unneeded summary type from config file

* Fixed copies

* Updated pretrained config map to refer to hopper-medium checkpoint

* done (#16340)

* Added Decision transformer to model docs

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add type annotations for Rembert/Splinter and copies (#16338)

* undo black autoformat

* minor fix to rembert forward with default

* make fix-copies, make quality

* Adding types to template model

* Removing List from the template types

* Remove `Optional` from a couple of types that don't accept `None`

Co-authored-by: matt <rocketknight1@gmail.com>

* [Bug template] Shift responsibilities for long-range (#16344)

* Fix code repetition in serialization guide (#16346)

* Adopt framework-specific blocks for content (#16342)

*  refactor code samples with framework-specific blocks

*  update training.mdx

* 🖍 apply feedback

* Updates the default branch from master to main (#16326)

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updated model with custom docstring example

* Created the Decision Transformer Modle

* updating tests, copy to other machine

* Added last hidden size to Decision Transformer modelling outputs

* Removed copy of original DT file

* made a temporary change to gpt2 to have it conform with the Decision Transformer version

* Updated tests

* Ignoring a file used to test the DT model

* added comments to config file

* added comments and argument descriptions to decision transformer file

* Updated doc

* Ran "make style"

* Remove old model imports

* Removed unused imports, cleaned up init file

* Update docs/source/model_doc/decision_transformer.mdx

added my username

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Reverted changes made to gpt2

* Removed datasets submodule

* Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states

* Added support for return of hidden states, attentions and return dict of gpt2 model.

* Updated tests to include many of the ModelTesterMixin tests. 

The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes

* Added missing line to the end of gpt2 file

* Added an integration test for the Decision Transformer

Test performs and autoregressive evaluation for two time steps

* Set done and info to _ to fix failing test

* Updated integration test to be deterministic and check expected outputs

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unnecessary config options

* Cleaned up commented code and old comments.

* Cleaned up commented code.

* Changed DecisionTransformer to Decision Transformer

* Added Decision Transformer to the main README file

* Added copy of GTP2 called DecisionTranformerGPT2Model

* isorted imports

* isorted imports

* Added model to non-English README files

* Ran make fix-copies and corrected some cases.

* Updated index file to include Decision Transformer

* Added gpt2 model as copy inside the Decision Transformer model file

* Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS

* Deleted redundant checkpoint files (I don't know how these got committed)

* Removed testing files. (These should have never been committed)

* Removed accidentally committed files

* Moved the Decision Transformer test to its own directory

* Moved DecisionTransformOutput to modeling_decision_transformer

* Moved the example usage to research project and cleaned comments

* Made tests ignore the copy of gpt2 in Decision Transformer

* Added module output to modelling decision transformer

* removed copied gpt2 model from list of transformers models

* Updated tests and created __init__ file for new test location

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unneeded summary type from config file

* Fixed copies

* Updated pretrained config map to refer to hopper-medium checkpoint

* Added Decision transformer to model docs

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updated model with custom docstring example

* Updated copies, config auto, and readme files.

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Dan Tegzes <48134725+Tegzes@users.noreply.github.com>
Co-authored-by: Adam Montgomerie <adam@avanssion.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com>
Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com>
Co-authored-by: Jacob Dineen <54680234+jacobdineen@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
2022-03-23 16:18:43 -04:00
Lysandre Debut
eca77f4719
Updates the default branch from master to main (#16326)
* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-03-23 03:46:59 -04:00
Anton Lozhkov
e226a24f84
[xtreme-s] Update Minds14 results (#16241)
* update results

* per-language metrics

* Format the per-language metrics
2022-03-21 19:33:59 +01:00
Suraj Patil
93d3fd8645
remove jax.ops.index (#16220) 2022-03-17 17:51:43 +01:00
Anton Lozhkov
d35e0c6247
Minor fixes to XTREME-S (#16193)
* Minor fixes

* Fix vocab union

* Update examples/research_projects/xtreme-s/README.md

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update README

* unused import

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-03-16 17:23:00 +04:00
Sanchit Gandhi
ee27b3d7df
Replace all deprecated jax.ops operations with jnp's at (#16078)
* Replace all deprecated `jax.ops` operations with jnp's `at`

* np to jnp scores

* suggested changes
2022-03-16 09:08:55 +00:00
Patrick von Platen
c2dc89be62
[Xtreme-S] fix some namings (#16183) 2022-03-16 01:21:31 +01:00
Anton Lozhkov
99fd3eb4a5
Add the XTREME-S fine-tuning example (#15985)
* CTC+classification draft

* CTC+classification draft

* style

* multilingual runs

* Fix race condition during processor.from_reatrained

* Merge covost experiments

* Add README

* Quality

* Switch to .all configs

* Fix typos
2022-03-16 00:21:06 +01:00
Stas Bekman
580dd87c55
[Deepspeed] add support for bf16 mode (#14569)
* [WIP] add support for bf16 mode

* prep for bf16

* prep for bf16

* fix; zero2/bf16 is ok

* check bf16 is available

* test fixes

* enable zero3_bf16

* config files

* docs

* split stage_dtype; merge back to non-dtype-specific config file

* fix doc

* cleanup

* cleanup

* bfloat16 => bf16 to match the PR changes

* s/zero_gather_fp16_weights_on_model_save/zero_gather_16bit_weights_on_model_save/; s/save_fp16_model/save_16bit_model/

* test fixes/skipping

* move

* fix

* Update docs/source/main_classes/deepspeed.mdx

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* backticks

* cleanup

* cleanup

* cleanup

* new version

* add note about grad accum in bf16

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-03-11 17:53:53 -08:00
Sanchit Gandhi
6c9010ef63
Update README.md 2022-03-10 10:20:37 +01:00
Sanchit Gandhi
b71474895d
Update README.md 2022-03-04 09:58:45 +01:00
Ross Johnstone
e535c389aa
Fix tiny typo (#15884) 2022-03-02 15:37:05 +01:00
Ivan Agarský
5444687f0f
Fix minor comment typos (#15740) 2022-02-21 12:41:27 +01:00
Shamane Siri
80f1a59168
updated with latest PL and Ray (#15653) 2022-02-15 16:53:05 +01:00
Stas Bekman
fcb0f74397
[research_projects] deal with security alerts (#15594)
* [research_projects] deal with security alerts

* add a note of the original PL ver and warning
2022-02-11 14:31:09 -05:00
Lysandre Debut
7732d0fe7a
Upgrade black to version ~=22.0 (#15565)
* Upgrade black to version ~=22.0

* Check copies

* Fix code
2022-02-09 09:28:57 -05:00
Anton Lozhkov
a459f7f97d
Add ASR CTC streaming example (#15309)
* Single-epoch run

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Infinite dataset

* Trainer fix + distributed benchmark

* Benchmark fix

* unused import

* interleaved splits

* interleaved splits

* has_length util

* Move to research projects

* Leftover Sized checks

* Bump min version

* Unused import

* Revert trainer changes

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-02-07 18:35:37 +03:00
Jonatas Grosman
f624249d8b
[Robust Speech Challenge] Add missing LR parameter (#15428) 2022-01-31 15:50:56 +01:00
Julien Plu
aa19f478ac
Add (M)Luke model training for Token Classification in the examples (#14880)
* Add Luke training

* Fix true label tags

* Fix true label tags

* Fix true label tags

* Update the data collator for Luke

* Some training refactor for Luke

* Improve data collator for Luke

* Fix import

* Fix datasets concatenation

* Add the --max_entity_length argument for Luke models

* Remove unused code

* Fix style issues

* Fix style issues

* Move the Luke training into a separate folder

* Fix style

* Fix naming

* Fix filtering

* Fix filtering

* Fix filter

* Update some preprocessing

* Move luke to research_projects

* Checkstyle

* Address comments

* Fix style
2022-01-31 07:58:18 -05:00
dependabot[bot]
628b59e51d
Bump numpy from 1.19.2 to 1.21.0 in /examples/research_projects/lxmert (#15369)
Bumps [numpy](https://github.com/numpy/numpy) from 1.19.2 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](https://github.com/numpy/numpy/compare/v1.19.2...v1.21.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2022-01-27 14:46:15 -05:00
dependabot[bot]
ca0848b2ff
Bump notebook in /examples/research_projects/visual_bert (#15368)
Bumps [notebook](http://jupyter.org) from 6.1.5 to 6.4.1.

---
updated-dependencies:
- dependency-name: notebook
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
2022-01-27 14:45:58 -05:00
dependabot[bot]
7d45a2e81c
Bump numpy in /examples/research_projects/visual_bert (#15367)
Bumps [numpy](https://github.com/numpy/numpy) from 1.19.2 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](https://github.com/numpy/numpy/compare/v1.19.2...v1.21.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2022-01-27 14:45:18 -05:00
Anton Lozhkov
196cce6e9b
Add a device argument to the eval script (#15371)
* Device argument for the eval script

* Default to none

* isort
2022-01-27 15:58:55 +01:00
Patrick von Platen
4bf97415a4
Update eval.py (#15310) 2022-01-24 11:46:38 +01:00
Patrick von Platen
11afb709ec
[Robust Speech Challenge] Add timeline (#15274) 2022-01-21 17:12:09 +01:00
lewtun
833635e259
Move BART + ONNX example to research_projects (#15271)
* Move BART + ONNX example to research_projects

* Add author information
2022-01-21 14:47:34 +01:00
Anton Lozhkov
85ea462c08
Update README.md (#15246)
Clarify OVH instruction
2022-01-20 13:40:26 +03:00
Anton Lozhkov
e57468b8a8
Update README.md (#15239)
Add an OVHcloud tutorial URL for the Robust Speech Challenge
2022-01-20 11:46:50 +03:00
Patrick von Platen
691878ee2f
Update README.md (#15233) 2022-01-19 18:03:17 +01:00
Suraj Patil
2a5a384970
fix speech event readme (#15227) 2022-01-19 15:30:03 +01:00
Patrick von Platen
6d92c429c7
Update README.md (#15226) 2022-01-19 15:23:00 +01:00
Patrick von Platen
19c217b4b7
Update README.md 2022-01-19 15:21:03 +01:00
Patrick von Platen
5439cda7f0
Update README.md 2022-01-19 15:19:57 +01:00
Patrick von Platen
e118e085ea
[Robust Speech Event] Add guides (#15155)
* up

* improve readme

* up

* up

* more info

* up

* up

* Apply suggestions from code review

Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* add more stuff for eval

* update

* up

* Update README.md

* Update examples/research_projects/xls_r/README.md

Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>

* apply omar's suggestions

Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>
2022-01-18 18:44:48 +01:00
Leandro von Werra
aa0135f2e0
fix: switch from slow to generic tokenizer class (#15122) 2022-01-12 09:12:43 -05:00
Patrick von Platen
d72343d2b8
[Wav2Vec2 Speech Event] Add speech event v2 (#15083)
* up

* up

* up

* up

* up

* up

* improve

* up

* up

* Update src/transformers/trainer.py

* up

* up

* up
2022-01-10 10:46:21 +01:00
Leandro von Werra
1d651868d6
add custom stopping criteria to human eval script (#14897) 2021-12-23 14:59:11 +01:00
Nathan Cooper
48bf7e47a0
Code parrot minor fixes/niceties (#14666)
* Add some nicety flags for better controlling evaluation.

* Fix dependency issue with outdated requirement

* Add additional flag to example to ensure eval is done

* Wrap code into main function for accelerate launcher to find

* Fix valid batch size flag in readme

* Add note to install git-lfs when initializing/training the model

* Update examples/research_projects/codeparrot/scripts/arguments.py

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Revert "Wrap code into main function for accelerate launcher to find"

This reverts commit ff11df1c81.

* Fix formatting issue

* Move git-lfs instructions to installation section

* Add a quick check before code generation for code evaluation

* Fix styling issue

* Update examples/research_projects/codeparrot/scripts/human_eval.py

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Make iterable dataset use passed in tokenizer rather than globally defined one

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: ncoop57 <nac33@students.uwf.edu>
2021-12-13 09:30:50 +01:00
Julien Chaumond
6cdc3a7844
[urls to hub] Replace outdated model tags with their now-canonical pipeline types (#14617)
* Replace outdated model tags with their now-canonical pipeline types

* spam the CI till it's green
2021-12-06 04:35:01 -05:00
Leandro von Werra
43f953cc2e
Add CodeParrot 🦜 codebase (#14536)
* add readme skeleton

* update readme

* add initialization script

* add deduplication script

* add codeparrot training script

* add code generation evaluation

* add validation loss script

* add requirements

* update readme

* tweak readme

* make style

* add highlights to readme

* add CLIs to scripts

* add tokenizer training script

* add docstring to constant length dataset

* fix defaults in arguments

* update readme with cli

* move image to hub

* tweaks of readme

* fix cli commands

* add author

* explain env variables

* fix formatting

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Apply suggestions from code review

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* replace generic with gpt2 tokenizer

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
2021-12-02 10:41:35 +01:00
Thomas Viehmann
6ed9882ddb
use functional interface for softmax in attention (#14198)
* use functional interface instead of instantiating module and immediately calling it

* fix torch.nn.functional to nn.functional. Thank you Stas!
2021-11-30 11:47:33 -05:00
Nicholas Broad
69e16abf98
Switch from using sum for flattening lists of lists in group_texts (#14472)
* remove sum for list flattening

* change to chain(*)

* make chain object a list

* delete empty lines

per sgugger's suggestions

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Nicholas Broad <nicholas@nmbroad.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2021-11-22 16:17:26 -05:00
Shang Zhang
a59e7c1ed4
Add QDQBert model and quantization examples of SQUAD task (#14066)
* clean up branch for add-qdqbert-model

* README update for QAT example; update docstrings in modeling_qdqbert.py

* Update qdqbert.rst

* Update README.md

* Update README.md

* calibration data using traning set; QAT example runs in fp32

* re-use BERTtokenizer for qdqbert

* Update docs/source/model_doc/qdqbert.rst

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/model_doc/qdqbert.rst

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/model_doc/qdqbert.rst

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* remove qdqbert tokenizer

* Update qdqbert.rst

* update evaluate-hf-trt-qa.py

* update configuration_qdqbert.py

* update modeling_qdqbert.py: add copied statement; replace assert with ValueError

* update copied from statement

* add is_quantization_available; run make fix-copies

* unittest add require_quantization

* add backend dependency to qdqbert model

* update README; update evaluate script; make style

* lint

* docs qdqbert update

* circleci build_doc add pytorch-quantization for qdqbert

* update README

* update example readme with instructions to upgrade TensorRT to 8.2

* Update src/transformers/models/qdqbert/configuration_qdqbert.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/models/qdqbert/configuration_qdqbert.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/models/qdqbert/configuration_qdqbert.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/models/qdqbert/configuration_qdqbert.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* change quantization to pytorch_quantization for backend requirement

* feed_forward_chunking not supported in QDQBert

* make style

* update model docstrings and comments in testing scripts

* rename example to quantization-qdqbert; rename example scripts from qat to quant

* Update src/transformers/models/qdqbert/modeling_qdqbert.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* rm experimental functions in quant_trainer

* qa cleanup

* make fix-copies for docs index.rst

* fix doctree; use post_init() for qdqbert

* fix early device assignment for qdqbert

* fix CI:Model templates runner

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2021-11-19 13:33:39 -05:00
Antonio Carlos Falcão Petri
7544efc92e
[Gradient checkpoining] Update Wav2Vec scripts (#14036)
Co-authored-by: Stas Bekman <stas@stason.org>
2021-11-17 18:37:21 +01:00
Eldar Kurtic
9fd937ead1
Replace BertLayerNorm with LayerNorm (#14385)
Running Movement pruning experiments with the newest HuggingFace would crash due to non-existing BertLayerNorm.
2021-11-15 13:25:10 -05:00
Stas Bekman
77262ef750
fix --gradient_checkpointing (#13964) 2021-11-11 17:50:21 +01:00
Suraj Patil
e92190c0f8
Fix Flax params dtype (#13098)
* fix inits

* fix embed dtype

* fix embed dtype

* add test to check default dtype

* quality

* add type conversion methods for flax models

* more robust casting

* cast sinusoidal positions

* update pegasus

* update albert

* update test

* make sure dtype is passed to every module

* style

* fix electra dense

* fix t5

* quality

* add more tests

* better name

* use the dtype for lm head computation

* fix albert

* style

* fix albert embed dtype

* more tests

* fix vision enc-dec

* cleanup

* fix embed dtype pegasus

* fix default param test

* doc

* update template

* fix final_logits_bias dtype

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix doc

* fix doc

* add detailed docstring for dtype parameter

* remove un-necessary import

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2021-11-11 14:45:20 +05:30
Suraj Patil
85a4bda4f4
bump flax version (#14343) 2021-11-09 22:15:22 +05:30
Junbum Lee
c016dbdbda
Fix execution PATH for PPLM Example (#14287) 2021-11-06 10:33:47 -04:00
Sylvain Gugger
558f8543ba
Update Transformers to huggingface_hub >= 0.1.0 (#14251)
* Update Transformers to huggingface_hub >= 0.1.0

* Forgot to save...

* Style

* Fix test
2021-11-02 18:58:42 -04:00
Thomas Wang
5b45422b58
Remove n_ctx from configs (#14165)
* Remove n_ctx from configs

* Fix GPTJ and OpenAIGPT, both are acceptable breaking changes as there are no configs such that it breaks

* Remove unecessary n_positions from TFOpenAIGPT
2021-10-29 11:50:25 +02:00
Antonio Carlos Falcão Petri
05a2afc252
Add missing --validation_split_percentage data args (#14119) 2021-10-22 19:04:54 +02:00
jacksukk
d5b82bb70c
Fixed horizon_length for PPLM (#13886)
* fixed horizon_length

* fixed horizon_length

* fix style
2021-10-14 21:46:09 -04:00
Patrick von Platen
7fb2a8b3d9
up (#14008) 2021-10-14 15:46:22 +02:00
Md Saiful Islam Sayef
155b23008e
Update FSNER code in examples->research_projects->fsner (#13864)
* Add example use of few-shot named entity recognition model in research_projects folder.

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update fsner example README.md.

- Change wrong import FSNERTokenizerWrapper to FSNERTokenizerUtils in the example code
- Add a link to the model identifier

* Update examples/research_projects/fsner/src/fsner/model.py

Fix spelling mistake in the default parameter of pretrained model name.

Co-authored-by: Stefan Schweter <stefan@schweter.it>

* Add example use of few-shot named entity recognition model in research_projects folder.

* Apply suggestions from code review

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update fsner example README.md.

- Change wrong import FSNERTokenizerWrapper to FSNERTokenizerUtils in the example code
- Add a link to the model identifier

* Update examples/research_projects/fsner/src/fsner/model.py

Fix spelling mistake in the default parameter of pretrained model name.

Co-authored-by: Stefan Schweter <stefan@schweter.it>

* Run Checking/fixing examples/flax/language-modeling/run_clm_flax.py examples/flax/question-answering/run_qa.py examples/flax/question-answering/utils_qa.py examples/flax/token-classification/run_flax_ner.py examples/legacy/multiple_choice/utils_multiple_choice.py examples/legacy/seq2seq/seq2seq_trainer.py examples/legacy/token-classification/utils_ner.py examples/pytorch/image-classification/run_image_classification.py examples/pytorch/language-modeling/run_clm.py examples/pytorch/language-modeling/run_clm_no_trainer.py examples/pytorch/language-modeling/run_mlm.py examples/pytorch/language-modeling/run_mlm_no_trainer.py examples/pytorch/language-modeling/run_plm.py examples/pytorch/multiple-choice/run_swag.py examples/pytorch/multiple-choice/run_swag_no_trainer.py examples/pytorch/question-answering/run_qa.py examples/pytorch/question-answering/run_qa_beam_search.py examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py examples/pytorch/question-answering/run_qa_no_trainer.py examples/pytorch/summarization/run_summarization.py examples/pytorch/summarization/run_summarization_no_trainer.py examples/pytorch/test_examples.py examples/pytorch/text-classification/run_glue.py examples/pytorch/text-classification/run_glue_no_trainer.py examples/pytorch/text-classification/run_xnli.py examples/pytorch/token-classification/run_ner.py examples/pytorch/token-classification/run_ner_no_trainer.py examples/pytorch/translation/run_translation.py examples/pytorch/translation/run_translation_no_trainer.py examples/research_projects/adversarial/utils_hans.py examples/research_projects/distillation/grouped_batch_sampler.py examples/research_projects/fsner/setup.py examples/research_projects/fsner/src/fsner/__init__.py examples/research_projects/fsner/src/fsner/model.py examples/research_projects/fsner/src/fsner/tokenizer_utils.py examples/research_projects/jax-projects/big_bird/evaluate.py examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py examples/tensorflow/language-modeling/run_clm.py examples/tensorflow/multiple-choice/run_swag.py examples/tensorflow/question-answering/run_qa.py examples/tensorflow/summarization/run_summarization.py examples/tensorflow/text-classification/run_glue.py examples/tensorflow/translation/run_translation.py src/transformers/__init__.py src/transformers/commands/add_new_model.py src/transformers/configuration_utils.py src/transformers/convert_slow_tokenizer.py src/transformers/data/__init__.py src/transformers/data/data_collator.py src/transformers/data/datasets/glue.py src/transformers/data/datasets/language_modeling.py src/transformers/data/datasets/squad.py src/transformers/deepspeed.py src/transformers/dependency_versions_table.py src/transformers/feature_extraction_sequence_utils.py src/transformers/file_utils.py src/transformers/generation_flax_utils.py src/transformers/generation_logits_process.py src/transformers/generation_tf_utils.py src/transformers/generation_utils.py src/transformers/integrations.py src/transformers/modelcard.py src/transformers/modeling_flax_utils.py src/transformers/modeling_outputs.py src/transformers/modeling_tf_utils.py src/transformers/modeling_utils.py src/transformers/models/__init__.py src/transformers/models/albert/__init__.py src/transformers/models/albert/modeling_albert.py src/transformers/models/albert/modeling_flax_albert.py src/transformers/models/albert/tokenization_albert_fast.py src/transformers/models/auto/__init__.py src/transformers/models/auto/auto_factory.py src/transformers/models/auto/configuration_auto.py src/transformers/models/auto/dynamic.py src/transformers/models/auto/feature_extraction_auto.py src/transformers/models/auto/modeling_auto.py src/transformers/models/auto/modeling_flax_auto.py src/transformers/models/auto/modeling_tf_auto.py src/transformers/models/auto/tokenization_auto.py src/transformers/models/bart/configuration_bart.py src/transformers/models/bart/modeling_bart.py src/transformers/models/bart/modeling_flax_bart.py src/transformers/models/bart/modeling_tf_bart.py src/transformers/models/barthez/tokenization_barthez_fast.py src/transformers/models/beit/__init__.py src/transformers/models/beit/configuration_beit.py src/transformers/models/beit/modeling_beit.py src/transformers/models/beit/modeling_flax_beit.py src/transformers/models/bert/configuration_bert.py src/transformers/models/bert/modeling_bert.py src/transformers/models/bert/modeling_flax_bert.py src/transformers/models/bert_generation/configuration_bert_generation.py src/transformers/models/bert_generation/modeling_bert_generation.py src/transformers/models/big_bird/configuration_big_bird.py src/transformers/models/big_bird/modeling_big_bird.py src/transformers/models/big_bird/modeling_flax_big_bird.py src/transformers/models/big_bird/tokenization_big_bird_fast.py src/transformers/models/bigbird_pegasus/configuration_bigbird_pegasus.py src/transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.py src/transformers/models/blenderbot/configuration_blenderbot.py src/transformers/models/blenderbot/modeling_blenderbot.py src/transformers/models/blenderbot/modeling_tf_blenderbot.py src/transformers/models/blenderbot_small/configuration_blenderbot_small.py src/transformers/models/blenderbot_small/modeling_blenderbot_small.py src/transformers/models/blenderbot_small/modeling_tf_blenderbot_small.py src/transformers/models/byt5/tokenization_byt5.py src/transformers/models/camembert/tokenization_camembert_fast.py src/transformers/models/canine/configuration_canine.py src/transformers/models/canine/modeling_canine.py src/transformers/models/clip/configuration_clip.py src/transformers/models/clip/convert_clip_original_pytorch_to_hf.py src/transformers/models/clip/modeling_clip.py src/transformers/models/clip/modeling_flax_clip.py src/transformers/models/clip/tokenization_clip.py src/transformers/models/convbert/modeling_convbert.py src/transformers/models/ctrl/configuration_ctrl.py src/transformers/models/deberta/modeling_tf_deberta.py src/transformers/models/deberta_v2/__init__.py src/transformers/models/deberta_v2/modeling_deberta_v2.py src/transformers/models/deberta_v2/modeling_tf_deberta_v2.py src/transformers/models/deit/configuration_deit.py src/transformers/models/deit/modeling_deit.py src/transformers/models/detr/configuration_detr.py src/transformers/models/detr/modeling_detr.py src/transformers/models/distilbert/__init__.py src/transformers/models/distilbert/configuration_distilbert.py src/transformers/models/distilbert/modeling_distilbert.py src/transformers/models/distilbert/modeling_flax_distilbert.py src/transformers/models/dpr/configuration_dpr.py src/transformers/models/dpr/modeling_dpr.py src/transformers/models/electra/modeling_electra.py src/transformers/models/electra/modeling_flax_electra.py src/transformers/models/encoder_decoder/__init__.py src/transformers/models/encoder_decoder/modeling_encoder_decoder.py src/transformers/models/encoder_decoder/modeling_flax_encoder_decoder.py src/transformers/models/flaubert/configuration_flaubert.py src/transformers/models/flaubert/modeling_flaubert.py src/transformers/models/fnet/__init__.py src/transformers/models/fnet/configuration_fnet.py src/transformers/models/fnet/convert_fnet_original_flax_checkpoint_to_pytorch.py src/transformers/models/fnet/modeling_fnet.py src/transformers/models/fnet/tokenization_fnet.py src/transformers/models/fnet/tokenization_fnet_fast.py src/transformers/models/fsmt/configuration_fsmt.py src/transformers/models/fsmt/modeling_fsmt.py src/transformers/models/funnel/configuration_funnel.py src/transformers/models/gpt2/__init__.py src/transformers/models/gpt2/configuration_gpt2.py src/transformers/models/gpt2/modeling_flax_gpt2.py src/transformers/models/gpt2/modeling_gpt2.py src/transformers/models/gpt2/modeling_tf_gpt2.py src/transformers/models/gpt_neo/configuration_gpt_neo.py src/transformers/models/gpt_neo/modeling_gpt_neo.py src/transformers/models/gptj/__init__.py src/transformers/models/gptj/configuration_gptj.py src/transformers/models/gptj/modeling_gptj.py src/transformers/models/herbert/tokenization_herbert_fast.py src/transformers/models/hubert/__init__.py src/transformers/models/hubert/configuration_hubert.py src/transformers/models/hubert/convert_hubert_original_s3prl_checkpoint_to_pytorch.py src/transformers/models/hubert/modeling_hubert.py src/transformers/models/hubert/modeling_tf_hubert.py src/transformers/models/ibert/modeling_ibert.py src/transformers/models/layoutlm/__init__.py src/transformers/models/layoutlm/configuration_layoutlm.py src/transformers/models/layoutlm/modeling_layoutlm.py src/transformers/models/layoutlmv2/__init__.py src/transformers/models/layoutlmv2/configuration_layoutlmv2.py src/transformers/models/layoutlmv2/feature_extraction_layoutlmv2.py src/transformers/models/layoutlmv2/modeling_layoutlmv2.py src/transformers/models/layoutlmv2/processing_layoutlmv2.py src/transformers/models/layoutlmv2/tokenization_layoutlmv2.py src/transformers/models/layoutlmv2/tokenization_layoutlmv2_fast.py src/transformers/models/led/configuration_led.py src/transformers/models/led/modeling_led.py src/transformers/models/longformer/modeling_longformer.py src/transformers/models/luke/configuration_luke.py src/transformers/models/luke/modeling_luke.py src/transformers/models/luke/tokenization_luke.py src/transformers/models/lxmert/configuration_lxmert.py src/transformers/models/m2m_100/configuration_m2m_100.py src/transformers/models/m2m_100/modeling_m2m_100.py src/transformers/models/m2m_100/tokenization_m2m_100.py src/transformers/models/marian/configuration_marian.py src/transformers/models/marian/modeling_flax_marian.py src/transformers/models/marian/modeling_marian.py src/transformers/models/marian/modeling_tf_marian.py src/transformers/models/mbart/configuration_mbart.py src/transformers/models/mbart/modeling_flax_mbart.py src/transformers/models/mbart/modeling_mbart.py src/transformers/models/mbart/tokenization_mbart.py src/transformers/models/mbart/tokenization_mbart_fast.py src/transformers/models/mbart50/tokenization_mbart50.py src/transformers/models/mbart50/tokenization_mbart50_fast.py src/transformers/models/megatron_bert/configuration_megatron_bert.py src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py src/transformers/models/megatron_bert/modeling_megatron_bert.py src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py src/transformers/models/openai/configuration_openai.py src/transformers/models/pegasus/__init__.py src/transformers/models/pegasus/configuration_pegasus.py src/transformers/models/pegasus/modeling_flax_pegasus.py src/transformers/models/pegasus/modeling_pegasus.py src/transformers/models/pegasus/modeling_tf_pegasus.py src/transformers/models/pegasus/tokenization_pegasus_fast.py src/transformers/models/prophetnet/configuration_prophetnet.py src/transformers/models/prophetnet/modeling_prophetnet.py src/transformers/models/rag/modeling_rag.py src/transformers/models/rag/modeling_tf_rag.py src/transformers/models/reformer/configuration_reformer.py src/transformers/models/reformer/tokenization_reformer_fast.py src/transformers/models/rembert/configuration_rembert.py src/transformers/models/rembert/modeling_rembert.py src/transformers/models/rembert/tokenization_rembert_fast.py src/transformers/models/roberta/modeling_flax_roberta.py src/transformers/models/roberta/modeling_roberta.py src/transformers/models/roberta/modeling_tf_roberta.py src/transformers/models/roformer/configuration_roformer.py src/transformers/models/roformer/modeling_roformer.py src/transformers/models/speech_encoder_decoder/__init__.py src/transformers/models/speech_encoder_decoder/configuration_speech_encoder_decoder.py src/transformers/models/speech_encoder_decoder/convert_speech_to_text_wav2vec2_seq2seq_original_to_pytorch.py src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py src/transformers/models/speech_to_text/configuration_speech_to_text.py src/transformers/models/speech_to_text/feature_extraction_speech_to_text.py src/transformers/models/speech_to_text/modeling_speech_to_text.py src/transformers/models/speech_to_text_2/__init__.py src/transformers/models/speech_to_text_2/configuration_speech_to_text_2.py src/transformers/models/speech_to_text_2/modeling_speech_to_text_2.py src/transformers/models/speech_to_text_2/processing_speech_to_text_2.py src/transformers/models/speech_to_text_2/tokenization_speech_to_text_2.py src/transformers/models/splinter/configuration_splinter.py src/transformers/models/splinter/modeling_splinter.py src/transformers/models/t5/configuration_t5.py src/transformers/models/t5/modeling_flax_t5.py src/transformers/models/t5/modeling_t5.py src/transformers/models/t5/modeling_tf_t5.py src/transformers/models/t5/tokenization_t5_fast.py src/transformers/models/tapas/__init__.py src/transformers/models/tapas/configuration_tapas.py src/transformers/models/tapas/convert_tapas_original_tf_checkpoint_to_pytorch.py src/transformers/models/tapas/modeling_tapas.py src/transformers/models/tapas/tokenization_tapas.py src/transformers/models/transfo_xl/configuration_transfo_xl.py src/transformers/models/visual_bert/modeling_visual_bert.py src/transformers/models/vit/configuration_vit.py src/transformers/models/vit/convert_dino_to_pytorch.py src/transformers/models/vit/modeling_flax_vit.py src/transformers/models/vit/modeling_vit.py src/transformers/models/wav2vec2/__init__.py src/transformers/models/wav2vec2/configuration_wav2vec2.py src/transformers/models/wav2vec2/convert_wav2vec2_original_s3prl_checkpoint_to_pytorch.py src/transformers/models/wav2vec2/feature_extraction_wav2vec2.py src/transformers/models/wav2vec2/modeling_flax_wav2vec2.py src/transformers/models/wav2vec2/modeling_wav2vec2.py src/transformers/models/wav2vec2/tokenization_wav2vec2.py src/transformers/models/xlm/configuration_xlm.py src/transformers/models/xlm_roberta/tokenization_xlm_roberta.py src/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py src/transformers/models/xlnet/configuration_xlnet.py src/transformers/models/xlnet/tokenization_xlnet_fast.py src/transformers/onnx/convert.py src/transformers/onnx/features.py src/transformers/optimization.py src/transformers/pipelines/__init__.py src/transformers/pipelines/audio_classification.py src/transformers/pipelines/automatic_speech_recognition.py src/transformers/pipelines/base.py src/transformers/pipelines/conversational.py src/transformers/pipelines/feature_extraction.py src/transformers/pipelines/fill_mask.py src/transformers/pipelines/image_classification.py src/transformers/pipelines/object_detection.py src/transformers/pipelines/question_answering.py src/transformers/pipelines/table_question_answering.py src/transformers/pipelines/text2text_generation.py src/transformers/pipelines/text_classification.py src/transformers/pipelines/text_generation.py src/transformers/pipelines/token_classification.py src/transformers/pipelines/zero_shot_classification.py src/transformers/testing_utils.py src/transformers/tokenization_utils.py src/transformers/tokenization_utils_base.py src/transformers/tokenization_utils_fast.py src/transformers/trainer.py src/transformers/trainer_callback.py src/transformers/trainer_pt_utils.py src/transformers/trainer_seq2seq.py src/transformers/trainer_utils.py src/transformers/training_args.py src/transformers/training_args_seq2seq.py src/transformers/utils/dummy_detectron2_objects.py src/transformers/utils/dummy_flax_objects.py src/transformers/utils/dummy_pt_objects.py src/transformers/utils/dummy_tf_objects.py src/transformers/utils/dummy_tokenizers_objects.py src/transformers/utils/dummy_vision_objects.py tests/deepspeed/test_deepspeed.py tests/sagemaker/conftest.py tests/sagemaker/test_multi_node_data_parallel.py tests/test_configuration_auto.py tests/test_configuration_common.py tests/test_data_collator.py tests/test_feature_extraction_auto.py tests/test_feature_extraction_layoutlmv2.py tests/test_feature_extraction_speech_to_text.py tests/test_feature_extraction_wav2vec2.py tests/test_file_utils.py tests/test_modeling_auto.py tests/test_modeling_bart.py tests/test_modeling_beit.py tests/test_modeling_bert.py tests/test_modeling_clip.py tests/test_modeling_common.py tests/test_modeling_convbert.py tests/test_modeling_deit.py tests/test_modeling_distilbert.py tests/test_modeling_encoder_decoder.py tests/test_modeling_flaubert.py tests/test_modeling_flax_albert.py tests/test_modeling_flax_bart.py tests/test_modeling_flax_beit.py tests/test_modeling_flax_distilbert.py tests/test_modeling_flax_encoder_decoder.py tests/test_modeling_flax_gpt2.py tests/test_modeling_flax_gpt_neo.py tests/test_modeling_flax_mt5.py tests/test_modeling_flax_pegasus.py tests/test_modeling_fnet.py tests/test_modeling_gpt2.py tests/test_modeling_gpt_neo.py tests/test_modeling_gptj.py tests/test_modeling_hubert.py tests/test_modeling_layoutlmv2.py tests/test_modeling_pegasus.py tests/test_modeling_rag.py tests/test_modeling_reformer.py tests/test_modeling_speech_encoder_decoder.py tests/test_modeling_speech_to_text.py tests/test_modeling_speech_to_text_2.py tests/test_modeling_tf_auto.py tests/test_modeling_tf_deberta_v2.py tests/test_modeling_tf_hubert.py tests/test_modeling_tf_pytorch.py tests/test_modeling_tf_wav2vec2.py tests/test_modeling_wav2vec2.py tests/test_onnx_v2.py tests/test_pipelines_audio_classification.py tests/test_pipelines_automatic_speech_recognition.py tests/test_pipelines_common.py tests/test_pipelines_conversational.py tests/test_pipelines_feature_extraction.py tests/test_pipelines_fill_mask.py tests/test_pipelines_image_classification.py tests/test_pipelines_object_detection.py tests/test_pipelines_question_answering.py tests/test_pipelines_summarization.py tests/test_pipelines_table_question_answering.py tests/test_pipelines_text2text_generation.py tests/test_pipelines_text_classification.py tests/test_pipelines_text_generation.py tests/test_pipelines_token_classification.py tests/test_pipelines_translation.py tests/test_pipelines_zero_shot.py tests/test_processor_layoutlmv2.py tests/test_processor_wav2vec2.py tests/test_sequence_feature_extraction_common.py tests/test_tokenization_auto.py tests/test_tokenization_byt5.py tests/test_tokenization_canine.py tests/test_tokenization_common.py tests/test_tokenization_fnet.py tests/test_tokenization_layoutlmv2.py tests/test_tokenization_luke.py tests/test_tokenization_mbart.py tests/test_tokenization_mbart50.py tests/test_tokenization_speech_to_text_2.py tests/test_tokenization_t5.py tests/test_tokenization_tapas.py tests/test_tokenization_xlm_roberta.py tests/test_trainer.py tests/test_trainer_distributed.py tests/test_trainer_tpu.py tests/test_utils_check_copies.py utils/check_copies.py utils/check_repo.py utils/notification_service.py utils/release.py utils/tests_fetcher.py
python utils/custom_init_isort.py
python utils/style_doc.py src/transformers docs/source --max_len 119
running deps_table_update
updating src/transformers/dependency_versions_table.py
python utils/check_copies.py
python utils/check_table.py
python utils/check_dummies.py
python utils/check_repo.py
Checking all models are public.
Checking all models are properly tested.
Checking all objects are properly documented.
Checking all models are in at least one auto class.
python utils/check_inits.py
python utils/tests_fetcher.py --sanity_check and fix suggested changes.

* Run black examples tests src utils
isort examples tests src utils
Skipped 1 files
make autogenerate_code
make[1]: Entering directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers'
running deps_table_update
updating src/transformers/dependency_versions_table.py
make[1]: Leaving directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers'
make extra_style_checks
make[1]: Entering directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers'
python utils/custom_init_isort.py
python utils/style_doc.py src/transformers docs/source --max_len 119
make[1]: Leaving directory '/mnt/c/Users/Admin/Desktop/Home/Projects/transformers' for reformatting code.

* Add installation dependencies for examples/research_projects/fsner.

* Add support to pass in variable numbers of examples to FSNER model.

* Retrieve start_token_id and end_token_id from tokenizer instead of hardcoding in the FSNER model.

* Run black examples tests src utils
isort examples tests src utils
Skipped 1 files
make autogenerate_code
make[1]: Entering directory '/home/saif/transformers'
running deps_table_update
updating src/transformers/dependency_versions_table.py
make[1]: Leaving directory '/home/saif/transformers'
make extra_style_checks
make[1]: Entering directory '/home/saif/transformers'
python utils/custom_init_isort.py
python utils/style_doc.py src/transformers docs/source --max_len 119
make[1]: Leaving directory '/home/saif/transformers' for FSNER

* Update FSNER readme.md with a header image.

* Update FSNER readme

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Stefan Schweter <stefan@schweter.it>
2021-10-05 22:47:11 -04:00