Commit Graph

39 Commits

Author SHA1 Message Date
Julien Plu
b82fe7d258 Replace strided slice with tf.expand_dims (#10078)
* Replace tf.newaxis -> tf.expand_dims

* Fix tests

* Fix tests

* Use reshape when a tensors needs a double expand

* Fix GPT2

* Fix GPT2
2021-02-09 11:48:28 -05:00
Julien Plu
31563e056d Restore TF embeddings and attention layers to their previous version (#9890)
* Refacto BERT

* Restore all the concerned models

* Remove print

* Update template

* Apply Sylvain's and Morgan's comments

* Fix cast

* Put the cast inside call

* Remove cond in ebds

* Fix funnel

* Restore previous dot product (attention_scores) computation

* Add ConvBERT and BART

* Make all the S2S models ONNX compliant

* Fix test

* Fix check copies
2021-02-08 14:36:30 +03:00
Patrick von Platen
538b3b4607 [Tokenizer Utils Base] Make pad function more flexible (#9928)
* change tokenizer requirement

* split line

* Correct typo from list to str

* improve style

* make other function pretty as well

* add comment

* correct typo

* add new test

* pass tests for tok without padding token

* Apply suggestions from code review
2021-02-02 10:35:27 +03:00
Funtowicz Morgan
2ee9f9b69e Fix computation of attention_probs when head_mask is provided. (#9853)
* Fix computation of attention_probs when head_mask is provided.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Apply changes to the template

Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
2021-01-28 06:11:52 -05:00
Julien Plu
4adbdce5ee Clean TF Bert (#9788)
* Start cleaning BERT

* Clean BERT and all those depends of it

* Fix attribute name

* Apply style

* Apply Sylvain's comments

* Apply Lysandre's comments

* remove unused import
2021-01-27 11:28:11 +01:00
Julien Plu
a1720694a5 Remove a TF usage warning and rework the documentation (#9756)
* Rework documentation

* Update the template

* Trigger CI

* Restore the warning but with the TF logger

* Update convbert doc
2021-01-27 10:45:42 +01:00
Julien Plu
3f290e6c84 Fix mixed precision in TF models (#9163)
* Fix Gelu precision

* Fix gelu_fast

* Naming

* Fix usage and apply style

* add TF gelu approximate version

* add TF gelu approximate version

* add TF gelu approximate version

* Apply style

* Fix albert

* Remove the usage of the Activation layer
2021-01-21 07:00:11 -05:00
Julien Plu
7251a4736d Fix template (#9697) 2021-01-20 09:04:53 -05:00
Julien Plu
14042d560f New TF embeddings (cleaner and faster) (#9418)
* Create new embeddings + add to BERT

* Add Albert

* Add DistilBert

* Add Albert + Electra + Funnel

* Add Longformer + Lxmert

* Add last models

* Apply style

* Update the template

* Remove unused imports

* Rename attribute

* Import embeddings in their own model file

* Replace word_embeddings per weight

* fix naming

* Fix Albert

* Fix Albert

* Fix Longformer

* Fix Lxmert Mobilebert and MPNet

* Fix copy

* Fix template

* Update the get weights function

* Update src/transformers/modeling_tf_utils.py

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

* Update src/transformers/models/electra/modeling_tf_electra.py

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

* address Sylvain's comments

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2021-01-20 12:08:12 +01:00
Sylvain Gugger
7e662e6a3b Fix model templates and use less than 119 chars (#9684)
* Fix model templates and use less than 119 chars

* Missing new line
2021-01-19 17:11:22 -05:00
Yusuke Mori
b020a736c3 Update past_key_values in GPT-2 (#9596)
* Update past_key_values in gpt2 (#9391)

* Update generation_utils, and rename some items

* Update modeling_gpt2 to avoid an error in gradient_checkpointing

* Remove 'reorder_cache' from util and add variations to XLNet, TransfoXL, GPT-2

* Change the location of '_reorder_cache' in modeling files

* Add '_reorder_cache' in modeling_ctrl

* Fix a bug of my last commit in CTRL

* Add '_reorder_cache' to GPT2DoubleHeadsModel

* Manage 'use_cache' in config of test_modeling_gpt2

* Clean up the doc string

* Update src/transformers/models/gpt2/modeling_gpt2.py

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

* Fix the doc string (GPT-2, CTRL)

* improve gradient_checkpointing_behavior

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2021-01-19 16:00:15 +01:00
Sylvain Gugger
053efc5d2d Fix imports in conversion scripts (#9674) 2021-01-19 09:40:15 -05:00
Devrim
65eb5d9ac5 Fix: torch.utils.checkpoint import error. (#9626) 2021-01-18 04:33:39 -05:00
Lysandre Debut
6d3b688b04 Ignore lm_head decoder bias warning (#9615)
* Ignore lm_head decoder bias warning

* Revert "Ignore lm_head decoder bias warning"

This reverts commit f25177a9da6ca898e351f46c8b1515971de5c670.

* predictions -> lm_head
2021-01-15 09:40:21 -05:00
Julien Plu
1243ee7d0c Full rework of the TF input/output embeddings and bias resizing (#9193)
* Start rework resizing

* Rework bias/decoder resizing

* Full resizing rework

* Full resizing rework

* Start to update the models with the new approach

* Finish to update the models

* Update all the tests

* Update the template

* Fix tests

* Fix tests

* Test a new approach

* Refactoring

* Refactoring

* Refactoring

* New rework

* Rework BART

* Rework bert+blenderbot

* Rework CTRL

* Rework Distilbert

* Rework DPR

* Rework Electra

* Rework Flaubert

* Rework Funnel

* Rework GPT2

* Rework Longformer

* Rework Lxmert

* Rework marian+mbart

* Rework mobilebert

* Rework mpnet

* Rework openai

* Rework pegasus

* Rework Roberta

* Rework T5

* Rework xlm+xlnet

* Rework template

* Fix TFT5EncoderOnly + DPRs

* Restore previous methods

* Fix Funnel

* Fix CTRL and TransforXL

* Apply style

* Apply Sylvain's comments

* Restore a test in DPR

* Address the comments

* Fix bug

* Apply style

* remove unused import

* Fix test

* Forgot a method

* missing test

* Trigger CI

* naming update

* Rebase

* Trigger CI
2021-01-11 06:27:28 -05:00
Julien Plu
4f7022d68d Reformat (#9482) 2021-01-10 15:10:15 +01:00
Sylvain Gugger
1bdf42409c Fast imports part 3 (#9474)
* New intermediate inits

* Update template

* Avoid importing torch/tf/flax in tokenization unless necessary

* Styling

* Shutup flake8

* Better python version check
2021-01-08 07:40:59 -05:00
Sylvain Gugger
758ed3332b Transformers fast import part 2 (#9446)
* Main init work

* Add version

* Change from absolute to relative imports

* Fix imports

* One more typo

* More typos

* Styling

* Make quality script pass

* Add necessary replace in template

* Fix typos

* Spaces are ignored in replace for some reason

* Forgot one models.

* Fixes for import

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

* Add documentation

* Styling

Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>
2021-01-07 09:36:14 -05:00
Julien Plu
812045adcc New serving (#9419)
* Add a serving method

* Add albert

* Add serving for BERT and BART

* Add more models

* Finish the serving addition

* Temp fix

* Restore DPR

* Fix funnel attribute

* Fix attributes GPT2

* Fix OpenAIGPT attribute

* Fix T5 attributes

* Fix Bart attributes

* Fix TransfoXL attributes

* Add versioning

* better test

* Update template

* Fix Flaubert

* Fix T5

* Apply style

* Remove unused imports

* Deactivate extra parameters

* Remove too long test + saved_model default to False

* Ignore the saved model test for some models

* Fix some inputs

* Fix mpnet serving

* Trigger CI

* Address all comments
2021-01-07 11:48:49 +01:00
Patrick von Platen
b8462b5b2a [GenerationOutputs] Fix GenerationOutputs Tests (#9443)
* fix generation models

* fix led

* fix docs

* add is_decoder

* fix last docstrings

* make style

* fix t5 cross attentions

* correct t5
2021-01-06 19:37:02 +01:00
Suraj Patil
88ef8893cd Add caching mechanism to BERT, RoBERTa (#9183)
* add past_key_values

* add use_cache option

* make mask before cutting ids

* adjust position_ids according to past_key_values

* flatten past_key_values

* fix positional embeds

* fix _reorder_cache

* set use_cache to false when not decoder, fix attention mask init

* add test for caching

* add past_key_values for Roberta

* fix position embeds

* add caching test for roberta

* add doc

* make style

* doc, fix attention mask, test

* small fixes

* adress patrick's comments

* input_ids shouldn't start with pad token

* use_cache only when decoder

* make consistent with bert

* make copies consistent

* add use_cache to encoder

* add past_key_values to tapas attention

* apply suggestions from code review

* make coppies consistent

* add attn mask in tests

* remove copied from longformer

* apply suggestions from code review

* fix bart test

* nit

* simplify model outputs

* fix doc

* fix output ordering
2020-12-23 23:01:32 +05:30
Julien Plu
5a8a4eb187 Improve BERT-like models performance with better self attention (#9124)
* Improve BERT-like models attention layers

* Apply style

* Put back error raising instead of assert

* Update template

* Fix copies

* Apply raising valueerror in MPNet

* Restore the copy check for the Intermediate layer in Longformer

* Update longformer
2020-12-21 13:10:15 +01:00
Patrick von Platen
640e6fe190 [Flax] Align FlaxBertForMaskedLM with BertForMaskedLM, implement from_pretrained, init (#9054)
* save intermediate

* save intermediate

* save intermediate

* correct flax bert model file

* new module / model naming

* make style

* almost finish BERT

* finish roberta

* make fix-copies

* delete keys file

* last refactor

* fixes in run_mlm_flax.py

* remove pooled from run_mlm_flax.py`

* fix gelu | gelu_new

* remove Module from inits

* splits

* dirty print

* preventing warmup_steps == 0

* smaller splits

* make fix-copies

* dirty print

* dirty print

* initial_evaluation argument

* declaration order fix

* proper model initialization/loading

* proper initialization

* run_mlm_flax improvements: improper model inputs bugfix + automatic dataset splitting + tokenizers parallelism warning + avoiding warmup_steps=0 bug

* removed tokenizers warning hack, fixed model re-initialization

* reverted training_args.py changes

* fix flax from pretrained

* improve test in flax

* apply sylvains tips

* update init

* make 0.3.0 compatible

* revert tevens changes

* revert tevens changes 2

* finalize revert

* fix bug

* add docs

* add pretrained to init

* Update src/transformers/modeling_flax_utils.py

* fix copies

* final improvements

Co-authored-by: TevenLeScao <teven.lescao@gmail.com>
2020-12-16 13:03:32 +01:00
Julien Plu
51d9c569fa Fix embeddings resizing in TF models (#8657)
* Resize the biases in same time than the embeddings

* Trigger CI

* Biases are not reset anymore

* Remove get_output_embeddings + better LM model detection in generation utils

* Apply style

* First test on BERT

* Update docstring + new name

* Apply the new resizing logic to all the models

* fix tests

* Apply style

* Update the template

* Fix naming

* Fix naming

* Apply style

* Apply style

* Remove unused import

* Revert get_output_embeddings

* Trigger CI

* Update num parameters

* Restore get_output_embeddings in TFPretrainedModel and add comments

* Style

* Add decoder resizing

* Style

* Fix tests

* Separate bias and decoder resize

* Fix tests

* Fix tests

* Apply style

* Add bias resizing in MPNet

* Trigger CI

* Apply style
2020-12-13 23:05:24 -05:00
Funtowicz Morgan
75627148ee Flax Masked Language Modeling training example (#8728)
* Remove "Model" suffix from Flax models to look more 🤗

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Initial working (forward + backward) for Flax MLM training example.

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Simply code

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Addressing comments, using module and moving to LM task.

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Restore parameter name "module" wrongly renamed model.

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Restore correct output ordering...

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Actually commit the example 😅

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Add FlaxBertModelForMaskedLM after rebasing.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make it possible to initialize the training from scratch

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Reuse flax linen example of cross entropy loss

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added specific data collator for flax

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Remove todo for data collator

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added evaluation step

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added ability to provide dtype to support bfloat16 on TPU

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable flax tensorboard output

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable jax.pmap support.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Ensure batches are correctly sized to be dispatched with jax.pmap

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable bfloat16 with --fp16 cmdline args

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Correctly export metrics to tensorboard

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added dropout and ability to use it.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Effectively enable & disable during training and evaluation steps.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Oops.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable specifying kernel initializer scale

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Style.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added warmup step to the learning rate scheduler.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix typo.

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Print training loss

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make style

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* fix linter issue (flake8)

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix model matching

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix dummies

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix non default dtype on Flax models

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Use the same create_position_ids_from_input_ids for FlaxRoberta

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make Roberta attention as Bert

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* fix copy

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Wording.

Co-authored-by: Marc van Zee <marcvanzee@gmail.com>

Co-authored-by: Marc van Zee <marcvanzee@gmail.com>
2020-12-09 17:13:56 +01:00
Julien Plu
bf7f79cd57 Optional layers (#8961)
* Apply on BERT and ALBERT

* Update TF Bart

* Add input processing to TF BART

* Add input processing for TF CTRL

* Add input processing to TF Distilbert

* Add input processing to TF DPR

* Add input processing to TF Electra

* Add deprecated arguments

* Add input processing to TF XLM

* remove unused imports

* Add input processing to TF Funnel

* Add input processing to TF GPT2

* Add input processing to TF Longformer

* Add input processing to TF Lxmert

* Apply style

* Add input processing to TF Mobilebert

* Add input processing to TF GPT

* Add input processing to TF Roberta

* Add input processing to TF T5

* Add input processing to TF TransfoXL

* Apply style

* Rebase on master

* Fix wrong model name

* Fix BART

* Apply style

* Put the deprecated warnings in the input processing function

* Remove the unused imports

* Raise an error when len(kwargs)>0

* test ModelOutput instead of TFBaseModelOutput

* Address Patrick's comments

* Address Patrick's comments

* Add boolean processing for the inputs

* Take into account the optional layers

* Add missing/unexpected weights in the other models

* Apply style

* rename parameters

* Apply style

* Remove useless

* Remove useless

* Remove useless

* Update num parameters

* Fix tests

* Address Patrick's comment

* Remove useless attribute
2020-12-08 09:14:09 -05:00
Sylvain Gugger
00aa9dbca2 Copyright (#8970)
* Add copyright everywhere missing

* Style
2020-12-07 18:36:34 -05:00
Machel Reid
ef93a25427 Fix typo for modeling_bert import resulting in ImportError (#8931)
Self-explanatory ;) - Hope it helps!
2020-12-05 09:57:37 -05:00
Julien Plu
dcd3046f98 Better booleans handling in the TF models (#8777)
* Apply on BERT and ALBERT

* Update TF Bart

* Add input processing to TF BART

* Add input processing for TF CTRL

* Add input processing to TF Distilbert

* Add input processing to TF DPR

* Add input processing to TF Electra

* Add deprecated arguments

* Add input processing to TF XLM

* Add input processing to TF Funnel

* Add input processing to TF GPT2

* Add input processing to TF Longformer

* Add input processing to TF Lxmert

* Apply style

* Add input processing to TF Mobilebert

* Add input processing to TF GPT

* Add input processing to TF Roberta

* Add input processing to TF T5

* Add input processing to TF TransfoXL

* Apply style

* Rebase on master

* Bug fix

* Retry to bugfix

* Retry bug fix

* Fix wrong model name

* Try another fix

* Fix BART

* Fix input precessing

* Apply style

* Put the deprecated warnings in the input processing function

* Remove the unused imports

* Raise an error when len(kwargs)>0

* test ModelOutput instead of TFBaseModelOutput

* Bug fix

* Address Patrick's comments

* Address Patrick's comments

* Address Sylvain's comments

* Add boolean processing for the inputs

* Apply style

* Missing optional

* Fix missing some input proc

* Update the template

* Fix missing inputs

* Missing input

* Fix args parameter

* Trigger CI

* Trigger CI

* Trigger CI

* Address Patrick's and Sylvain's comments

* Replace warn by warning

* Trigger CI

* Fix XLNET

* Fix detection
2020-12-04 09:08:29 -05:00
Patrick von Platen
443f67e887 [PyTorch] Refactor Resize Token Embeddings (#8880)
* fix resize tokens

* correct mobile_bert

* move embedding fix into modeling_utils.py

* refactor

* fix lm head resize

* refactor

* break lines to make sylvain happy

* add news tests

* fix typo

* improve test

* skip bart-like for now

* check if base_model = get(...) is necessary

* clean files

* improve test

* fix tests

* revert style templates

* Update templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_{{cookiecutter.lowercase_modelname}}.py
2020-12-02 19:19:50 +01:00
Patrick von Platen
a7d46a0609 Fix dpr<>bart config for RAG (#8808)
* correct dpr test and bert pos fault

* fix dpr bert config problem

* fix layoutlm

* add config to dpr as well
2020-11-27 16:26:45 +01:00
Kristian Holsheimer
f8eda599bd [FlaxBert] Fix non-broadcastable attention mask for batched forward-passes (#8791)
* [FlaxBert] Fix non-broadcastable attention mask for batched forward-passes

* [FlaxRoberta] Fix non-broadcastable attention mask

* Use jax.numpy instead of ordinary numpy (otherwise not jit-able)

* Partially revert "Use jax.numpy ..."

* Add tests for batched forward passes

* Avoid unnecessary OOMs due to preallocation of GPU memory by XLA

* Auto-fix style

* Re-enable GPU memory preallocation but with mem fraction < 1/paralleism
2020-11-27 13:21:19 +01:00
Julien Plu
29d4992453 New TF model inputs (#8602)
* Apply on BERT and ALBERT

* Update TF Bart

* Add input processing to TF BART

* Add input processing for TF CTRL

* Add input processing to TF Distilbert

* Add input processing to TF DPR

* Add input processing to TF Electra

* Add input processing for TF Flaubert

* Add deprecated arguments

* Add input processing to TF XLM

* remove unused imports

* Add input processing to TF Funnel

* Add input processing to TF GPT2

* Add input processing to TF Longformer

* Add input processing to TF Lxmert

* Apply style

* Add input processing to TF Mobilebert

* Add input processing to TF GPT

* Add input processing to TF Roberta

* Add input processing to TF T5

* Add input processing to TF TransfoXL

* Apply style

* Rebase on master

* Bug fix

* Retry to bugfix

* Retry bug fix

* Fix wrong model name

* Try another fix

* Fix BART

* Fix input precessing

* Apply style

* Put the deprecated warnings in the input processing function

* Remove the unused imports

* Raise an error when len(kwargs)>0

* test ModelOutput instead of TFBaseModelOutput

* Bug fix

* Address Patrick's comments

* Address Patrick's comments

* Address Sylvain's comments

* Add the new inputs in new Longformer models

* Update the template with the new input processing

* Remove useless assert

* Apply style

* Trigger CI
2020-11-24 13:55:00 -05:00
zhiheng-huang
2c83b3c38d Support various BERT relative position embeddings (2nd) (#8276)
* Support BERT relative position embeddings

* Fix typo in README.md

* Address review comment

* Fix failing tests

* [tiny] Fix style_doc.py check by adding an empty line to configuration_bert.py

* make fix copies

* fix configs of electra and albert and fix longformer

* remove copy statement from longformer

* fix albert

* fix electra

* Add bert variants forward tests for various position embeddings

* [tiny] Fix style for test_modeling_bert.py

* improve docstring

* [tiny] improve docstring and remove unnecessary dependency

* [tiny] Remove unused import

* re-add to ALBERT

* make embeddings work for ALBERT

* add test for albert

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2020-11-24 14:40:53 +01:00
Stas Bekman
e84786aaa6 consistent ignore keys + make private (#8737)
* consistent ignore keys + make private

* style

* - authorized_missing_keys    => _keys_to_ignore_on_load_missing
  - authorized_unexpected_keys => _keys_to_ignore_on_load_unexpected

* move public doc of private attributes to private comment
2020-11-23 12:33:13 -08:00
Yossi Synett
18c8cf000b Fix bug in x-attentions output for roberta and harden test to catch it (#8660) 2020-11-23 13:28:29 +01:00
elk-cloner
5362bb8a6b Tf longformer for sequence classification (#8231)
* working on LongformerForSequenceClassification

* add TFLongformerForMultipleChoice

* add TFLongformerForTokenClassification

* use add_start_docstrings_to_model_forward

* test TFLongformerForSequenceClassification

* test TFLongformerForMultipleChoice

* test TFLongformerForTokenClassification

* remove test from repo

* add test and doc for TFLongformerForSequenceClassification, TFLongformerForTokenClassification, TFLongformerForMultipleChoice

* add requested classes to modeling_tf_auto.py
update dummy_tf_objects
fix tests
fix bugs in requested classes

* pass all tests except test_inputs_embeds

* sync with master

* pass all tests except test_inputs_embeds

* pass all tests

* pass all tests

* work on test_inputs_embeds

* fix style and quality

* make multi choice work

* fix TFLongformerForTokenClassification signature

* fix TFLongformerForMultipleChoice, TFLongformerForSequenceClassification signature

* fix mult choice

* fix mc hint

* fix input embeds

* fix input embeds

* refactor input embeds

* fix copy issue

* apply sylvains changes and clean more

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2020-11-19 10:37:27 -05:00
Sylvain Gugger
dd52804f5f Remove deprecated (#8604)
* Remove old deprecated arguments

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

* Remove needless imports

* Fix tests

Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>
2020-11-17 15:11:29 -05:00
Sylvain Gugger
c89bdfbe72 Reorganize repo (#8580)
* Put models in subfolders

* Styling

* Fix imports in tests

* More fixes in test imports

* Sneaky hidden imports

* Fix imports in doc files

* More sneaky imports

* Finish fixing tests

* Fix examples

* Fix path for copies

* More fixes for examples

* Fix dummy files

* More fixes for example

* More model import fixes

* Is this why you're unhappy GitHub?

* Fix imports in conver command
2020-11-16 21:43:42 -05:00