* fix long seq bug
* fixed format
* fixed fn copy inconsistency
* fix long seq bug
* fixed format
* fixed fn copy inconsistency
* Addressed comments
* added a unit test
* fixed cache position
* Added a warning msg to the forward fn
* fixed test case
* test(tokenizers): add a test showing conflict with sentencepiece
This is due to the fact that protobuf C implementation uses a global
pool for all added descriptors, so if two different files add
descriptors, they will end up conflicting.
* fix(tokenizers): mitigate sentencepiece/protobuf conflict
When sentencepiece is available, use that protobuf instead of the
internal one.
* chore(style): fix with ruff
* add xpu note
* add one more case
* add more
* Update docs/source/en/run_scripts.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Fix default revision for pipelines
* dummy change to trigger CI
* revert dummy change
* dummy change to trigger CI
* revery dummy change
---------
Co-authored-by: Matt <rocketknight1@gmail.com>
* Update tokenization_whisper.py
Fix issue with flax whisper model
* Update tokenization_whisper_fast.py
Fix issue with flax whisper model
* Update tokenization_whisper.py
just check len of token_ids
* Update tokenization_whisper_fast.py
just use len of token_ids
* Update tokenization_whisper_fast.py and revert changes in _strip_prompt and add support to jax arrays in _convert_to_list
* Update tokenization_whisper.py and revert changes in _strip_prompt and add support to jax arrays in _convert_to_list
* Update test_tokenization_whisper.py to add test for _convert_to_list method
* Update test_tokenization_whisper.py to fix code style issues
* Fix code style
* Fix code check again
* Update test_tokenization)whisper.py to Improve code style
* Update test_tokenization_whisper.py to run each of jax, tf and flax modules if available
* Update tests/models/whisper/test_tokenization_whisper.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update test_tokenization_whisper.py and use require_xxx decorators instead of `is_xxx_available()` method
* Revert the changes automatically applied by formatter and was unrelated to PR
* Format for minimal changes
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add tests for linear shape behavior
* fix linear shape behavior
ended up adding the reshape at the end, after f8f8bf16_rowwise, because adding
it directly after quantize_fp8_per_row caused f8f8bf16_rowwise to drop the
seq_len dimension. (i.e., (17, 23, 1014) -> (17, 1024))
* save shape up front + comment
* Make StaticCache configurable at model construct time
* integrations import structure
* add new doc file to toc
---------
Co-authored-by: Guang Yang <guangyang@fb.com>
Co-authored-by: Joao Gante <joao@huggingface.co>
* Bug Fix: Update hub.py
Bug:
TypeError: argument of type 'NoneType' is not iterable
Analysis:
The error `TypeError: argument of type 'NoneType' is not iterable` suggests that `model_card.data.tags` is `None`, and the code is trying to iterate through it using `not in`.
Fix:
1. **Check if `model_card.data.tags` is `None` before the loop**:
Since you're checking the variable `tags` before the loop, you should also ensure that `model_card.data.tags` is not `None`. You can do this by initializing `model_card.data.tags` to an empty list if it's `None`.
2. **Updated code**:
Add a check and initialize the `tags` if it is `None` before proceeding with the iteration.
This way, if `model_card.data.tags` is `None`, it gets converted to an empty list before checking the contents. This prevents the `TypeError`.
* Update hub.py
* Update docs for GGUF supported models
* Add tensor mappings and define class GGUFPhi3Converter
* Fix tokenizer
* Working version
* Attempt to fix some CI failures
* Run ruff format
* Add vocab, merges, decoder methods like LlamaConverter
* Resolve conflicts since Qwen2Moe was added to gguf
- I missed one place when resolving conflict
- I also made a mistake with tests_ggml.py and now has been fixed to reflect
its master version.
* Import structure & first three model refactors
* Register -> Export. Export all in __all__. Sensible defaults according to filename.
* Apply most comments from Amy and some comments from Lucain
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Lucain Pouget <lucainp@gmail.com>
* Style
* Add comment
* Clearer .py management
* Raise if not in backend mapping
* More specific type
* More efficient listdir
* Misc fixes
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Lucain Pouget <lucainp@gmail.com>
* Fixed typo: insted to instead
* Fixed typo: relase to release
* Fixed typo: nighlty to nightly
* Fixed typos: versatible, benchamarks, becnhmark to versatile, benchmark, benchmarks
* Fixed typo in comment: quantizd to quantized
* Fixed typo: architecutre to architecture
* Fixed typo: contibution to contribution
* Fixed typo: Presequities to Prerequisites
* Fixed typo: faste to faster
* Fixed typo: extendeding to extending
* Fixed typo: segmetantion_maps to segmentation_maps
* Fixed typo: Alternativelly to Alternatively
* Fixed incorrectly defined variable: output to output_disabled
* Fixed typo in library name: tranformers.onnx to transformers.onnx
* Fixed missing import: import tensorflow as tf
* Fixed incorrectly defined variable: token_tensor to tokens_tensor
* Fixed missing import: import torch
* Fixed incorrectly defined variable and typo: uromaize to uromanize
* Fixed incorrectly defined variable and typo: uromaize to uromanize
* Fixed typo in function args: numpy.ndarry to numpy.ndarray
* Fixed Inconsistent Library Name: Torchscript to TorchScript
* Fixed Inconsistent Class Name: OneformerProcessor to OneFormerProcessor
* Fixed Inconsistent Class Named Typo: TFLNetForMultipleChoice to TFXLNetForMultipleChoice
* Fixed Inconsistent Library Name Typo: Pytorch to PyTorch
* Fixed Inconsistent Function Name Typo: captureWarning to captureWarnings
* Fixed Inconsistent Library Name Typo: Pytorch to PyTorch
* Fixed Inconsistent Class Name Typo: TrainingArgument to TrainingArguments
* Fixed Inconsistent Model Name Typo: Swin2R to Swin2SR
* Fixed Inconsistent Model Name Typo: EART to BERT
* Fixed Inconsistent Library Name Typo: TensorFLow to TensorFlow
* Fixed Broken Link for Speech Emotion Classification with Wav2Vec2
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed minor missing word Typo
* Fixed Punctuation: Two commas
* Fixed Punctuation: No Space between XLM-R and is
* Fixed Punctuation: No Space between [~accelerate.Accelerator.backward] and method
* Added backticks to display model.fit() in codeblock
* Added backticks to display openai-community/gpt2 in codeblock
* Fixed Minor Typo: will to with
* Fixed Minor Typo: is to are
* Fixed Minor Typo: in to on
* Fixed Minor Typo: inhibits to exhibits
* Fixed Minor Typo: they need to it needs
* Fixed Minor Typo: cast the load the checkpoints To load the checkpoints
* Fixed Inconsistent Class Name Typo: TFCamembertForCasualLM to TFCamembertForCausalLM
* Fixed typo in attribute name: outputs.last_hidden_states to outputs.last_hidden_state
* Added missing verbosity level: fatal
* Fixed Minor Typo: take To takes
* Fixed Minor Typo: heuristic To heuristics
* Fixed Minor Typo: setting To settings
* Fixed Minor Typo: Content To Contents
* Fixed Minor Typo: millions To million
* Fixed Minor Typo: difference To differences
* Fixed Minor Typo: while extract To which extracts
* Fixed Minor Typo: Hereby To Here
* Fixed Minor Typo: addition To additional
* Fixed Minor Typo: supports To supported
* Fixed Minor Typo: so that benchmark results TO as a consequence, benchmark
* Fixed Minor Typo: a To an
* Fixed Minor Typo: a To an
* Fixed Minor Typo: Chain-of-though To Chain-of-thought
