Grégory Châtel
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186f75342e
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Adding new pretrained model to the help of the bert_model argument.
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2019-01-02 14:00:59 +01:00 |
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wlhgtc
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e626eecc25
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Update modeling.py
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2018-12-22 20:26:05 +08:00 |
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Jasdeep Singh
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99709ee61d
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loading saved model when n_classes != 2
Required to for: Assertion `t >= 0 && t < n_classes` failed, if your default number of classes is not 2.
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2018-12-20 13:55:47 -08:00 |
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Julien Chaumond
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8da280ebbe
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Setup CI
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2018-12-20 16:33:39 -05:00 |
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tholor
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e5fc98c542
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add exemplary training data. update to nvidia apex. refactor 'item -> line in doc' mapping. add warning for unknown word.
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2018-12-20 18:30:52 +01:00 |
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Grégory Châtel
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7176674849
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Fixing various class documentations.
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2018-12-20 13:11:17 +01:00 |
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Thomas Wolf
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7fb94ab934
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Merge pull request #127 from patrick-s-h-lewis/tokenizer-error-on-long-seqs
raises value error for bert tokenizer for long sequences
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2018-12-19 10:29:17 +01:00 |
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Thomas Wolf
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2feb29c0ff
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Merge pull request #130 from sodre/use-entry-points
Use entry-points instead of scripts
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2018-12-19 10:18:24 +01:00 |
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Thomas Wolf
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2c9991496b
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Merge pull request #128 from sodre/add-license
Add license to source distribution
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2018-12-19 10:15:53 +01:00 |
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tholor
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17595ef2de
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Merge branch 'master' of https://github.com/deepset-ai/pytorch-pretrained-BERT
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2018-12-19 09:22:53 +01:00 |
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tholor
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67f4dd56a3
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update readme for run_lm_finetuning
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2018-12-19 09:22:37 +01:00 |
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Patrick Sodré
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ecf3ea197e
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Remove original script
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2018-12-19 02:26:08 +00:00 |
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Patrick Sodré
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87c1244c7d
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Convert scripts into entry_points
The recommended approach to create launch scripts is to use entry_points
and console_scripts.
xref: https://packaging.python.org/guides/distributing-packages-using-setuptools/#scripts
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2018-12-19 02:26:08 +00:00 |
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Patrick Sodré
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b3d86162b0
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Add license to source distribution
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2018-12-19 01:41:18 +00:00 |
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Julien Chaumond
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d57763f582
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Fix typos
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2018-12-18 19:23:22 -05:00 |
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Patrick Lewis
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78cf7b4ab4
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added code to raise value error for bert tokenizer for covert_tokens_to_indices
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2018-12-18 14:41:30 +00:00 |
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deepset
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a58361f197
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Add example for fine tuning BERT language model (#1)
Adds an example for loading a pre-trained BERT model and fine tune it as a language model (masked tokens & nextSentence) on your target corpus.
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2018-12-18 10:32:25 +01:00 |
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Thomas Wolf
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786cc41299
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Typos in readme
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2018-12-17 09:22:18 +01:00 |
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Thomas Wolf
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ecc0b54bec
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Merge pull request #119 from danyaljj/patch-1
Minor README fix
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2018-12-14 23:29:47 +01:00 |
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Daniel Khashabi
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8b1b93947f
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Minor fix.
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2018-12-14 14:10:36 -05:00 |
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Thomas Wolf
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8809eb6c93
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update readme with information on NVIDIA's apex
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2018-12-14 16:59:39 +01:00 |
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Thomas Wolf
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e1bfad4846
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Merge pull request #112 from huggingface/fourth-release
Fourth release
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2018-12-14 15:15:47 +01:00 |
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thomwolf
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d821358884
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update readme
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2018-12-14 15:15:17 +01:00 |
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thomwolf
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37378898a2
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adding DockerFile
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2018-12-14 15:02:32 +01:00 |
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thomwolf
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4a4b0e5783
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remove logging. basicConfig from library code
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2018-12-14 14:46:25 +01:00 |
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thomwolf
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ae88eb88a4
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set encoding to 'utf-8' in calls to open
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2018-12-14 13:48:58 +01:00 |
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thomwolf
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e1eab59aac
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no fp16 on evaluation
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2018-12-13 14:54:02 +01:00 |
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thomwolf
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087798b7fa
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fix reloading model for evaluation in examples
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2018-12-13 14:48:12 +01:00 |
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thomwolf
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0f544625f4
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fix swag example for work with apex
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2018-12-13 13:35:59 +01:00 |
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thomwolf
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0cf88ff084
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make examples work without apex
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2018-12-13 13:28:00 +01:00 |
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thomwolf
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52c53f39d0
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clean up apex integration
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2018-12-13 13:02:17 +01:00 |
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thomwolf
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4946c2c500
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run_swag example in readme
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2018-12-13 13:02:07 +01:00 |
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thomwolf
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d23eed85bb
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model loading apex modification
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2018-12-13 12:53:17 +01:00 |
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thomwolf
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1cbb32a542
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include version number + comment in setup.py
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2018-12-13 12:50:44 +01:00 |
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thomwolf
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ce52177638
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added version in __init__.py
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2018-12-13 12:50:44 +01:00 |
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thomwolf
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d3fcec1a3e
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add saving and loading model in examples
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2018-12-13 12:50:44 +01:00 |
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thomwolf
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93f335ef86
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add pretrained loading from state_dict
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2018-12-13 12:48:13 +01:00 |
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thomwolf
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b3caec5a56
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adding save checkpoint and loading in examples
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2018-12-13 12:48:13 +01:00 |
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thomwolf
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85fff78c2d
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compatibility PT 1.0 and 0.4.1
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2018-12-13 12:48:13 +01:00 |
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thomwolf
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13bf0d4659
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fixing Adam weights skip in TF convert script
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2018-12-13 12:48:13 +01:00 |
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Thomas Wolf
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91aab2a6d3
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Merge pull request #116 from FDecaYed/deyuf/fp16_with_apex
Change to use apex for better fp16 and multi-gpu support
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2018-12-13 12:32:37 +01:00 |
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Thomas Wolf
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32a227f507
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Merge pull request #113 from hzhwcmhf/master
fix compatibility with python 3.5.2
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2018-12-13 12:15:15 +01:00 |
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Thomas Wolf
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ffe9075f48
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Merge pull request #96 from rodgzilla/multiple-choice-code
BertForMultipleChoice and Swag dataset example.
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2018-12-13 12:05:11 +01:00 |
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Deyu Fu
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3b0a14b761
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add fallback path for apex used in modeling.py
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2018-12-12 15:05:45 -08:00 |
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Grégory Châtel
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dcb50eaa4b
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Swag example readme section update with gradient accumulation run.
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2018-12-12 18:17:46 +01:00 |
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Deyu Fu
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c8ea286048
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change to apex for better fp16 and multi-gpu support
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2018-12-11 17:13:58 -08:00 |
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hzhwcmhf
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485adde742
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add pathlib support for file_utils.py on python 3.5
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2018-12-11 22:49:19 +08:00 |
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hzhwcmhf
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bc659f86ad
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fix compatibility with python 3.5.2; convert path to str
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2018-12-11 20:18:56 +08:00 |
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thomwolf
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1df6f26214
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Merge branch 'fourth-release' of https://github.com/huggingface/pytorch-pretrained-BERT into fourth-release
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2018-12-11 12:20:31 +01:00 |
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thomwolf
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770f805ae5
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include version number + comment in setup.py
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2018-12-11 12:20:22 +01:00 |
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