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https://api.github.com/repos/huggingface/transformers/issues/7721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7721/comments | https://api.github.com/repos/huggingface/transformers/issues/7721/events | https://github.com/huggingface/transformers/issues/7721 | 719,128,083 | MDU6SXNzdWU3MTkxMjgwODM= | 7,721 | can u help me out with how to input custom data files in RAG retriever and the data format | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | sign me up, Sam
_Originally posted by @stas00 in https://github.com/huggingface/transformers/issues/7715#issuecomment-706769068_ | {
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https://api.github.com/repos/huggingface/transformers/issues/7720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7720/comments | https://api.github.com/repos/huggingface/transformers/issues/7720/events | https://github.com/huggingface/transformers/pull/7720 | 719,009,517 | MDExOlB1bGxSZXF1ZXN0NTAxMjcwMzE1 | 7,720 | Fix trainer callback | {
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overwriting evaluate() without calling prediciton_loop()
# What does this PR do?
Fixes #7702
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/7719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7719/comments | https://api.github.com/repos/huggingface/transformers/issues/7719/events | https://github.com/huggingface/transformers/issues/7719 | 718,966,706 | MDU6SXNzdWU3MTg5NjY3MDY= | 7,719 | wrong decoder_input_ids[:,0] for MarianMT models ? | {
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"This is the intended behavior.\r\nIt is very counterintuitive to me as well, but changing `prepare_seq2seq_batch` or `shift_tokens_right` to end up with `decoder_start_token_id` at the 0th position of `decoder_input_ids` seems to lead to worse fine-tuning performance.\r\n\r\nIf you have evidence to the contrary, I... | 1,602 | 1,603 | 1,603 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Linux
- Python version: 3.7.0
- PyTorch version (GPU?): 1.6.0
- Using GPU in script?... | {
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https://api.github.com/repos/huggingface/transformers/issues/7718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7718/comments | https://api.github.com/repos/huggingface/transformers/issues/7718/events | https://github.com/huggingface/transformers/pull/7718 | 718,958,367 | MDExOlB1bGxSZXF1ZXN0NTAxMjMwMzg0 | 7,718 | fixed typo in warning line 207. | {
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# What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7717/comments | https://api.github.com/repos/huggingface/transformers/issues/7717/events | https://github.com/huggingface/transformers/pull/7717 | 718,947,711 | MDExOlB1bGxSZXF1ZXN0NTAxMjIyMTE4 | 7,717 | The input training data files (multiple files in glob format). | {
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https://api.github.com/repos/huggingface/transformers/issues/7716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7716/comments | https://api.github.com/repos/huggingface/transformers/issues/7716/events | https://github.com/huggingface/transformers/issues/7716 | 718,931,529 | MDU6SXNzdWU3MTg5MzE1Mjk= | 7,716 | Hosted Inference API for Token Classification doesn't Highlight Tokens correctly | {
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"@julien-c @mfuntowicz any insights or updates for this issue ?",
"I see the issue, but not sure how to best fix it to be honest – as it seems a very specific problem (token classification models that classify the special tokens as non-`O`)\r\n\r\nWhen we run fast tokenizers by default we'll get token alignment o... | 1,602 | 1,610 | 1,610 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (False)
- Tensorflow version (GPU?): 2.3.0 (False)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
###... | {
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https://api.github.com/repos/huggingface/transformers/issues/7715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7715/comments | https://api.github.com/repos/huggingface/transformers/issues/7715/events | https://github.com/huggingface/transformers/issues/7715 | 718,927,476 | MDU6SXNzdWU3MTg5Mjc0NzY= | 7,715 | examples/rag: test coverage, tiny model | {
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"sign me up, Sam",
"@sshleifer \r\n\r\nexamples/rag/finetune.py is not that stable. Seems like it depends on the pytorch_lightning version also. It would be nice if we can test it properly. ",
"I think this is still waiting for: https://github.com/huggingface/transformers/issues/8284 to complete the missing inf... | 1,602 | 1,705 | null | CONTRIBUTOR | null | Disclaimer: I don't know this code very well, this may be much harder than it seems.
Blocking PR: #7713
[`examples/rag/finetune.py`, `examples/rag/finetune.sh`, `eval_rag.py`] do not seem to be tested at all.
It would be good to have a `test_finetune.py` like `examples/seq2seq` that tested these.
cc @stas00 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7714/comments | https://api.github.com/repos/huggingface/transformers/issues/7714/events | https://github.com/huggingface/transformers/pull/7714 | 718,924,419 | MDExOlB1bGxSZXF1ZXN0NTAxMjA0NDMw | 7,714 | Fix typo in all model docs | {
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Like #7703 but for all other models (maked-> masked) | {
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================================================================ ERRORS =================================================================
______________________________________ ERROR collecting examples/rag/test_distributed_retriever.py ______________________________________
ImportError while importing test modu... | {
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https://api.github.com/repos/huggingface/transformers/issues/7712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7712/comments | https://api.github.com/repos/huggingface/transformers/issues/7712/events | https://github.com/huggingface/transformers/pull/7712 | 718,924,126 | MDExOlB1bGxSZXF1ZXN0NTAxMjA0MjMy | 7,712 | fix examples/rag imports, tests | {
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"@stas00 does this look reasonable? Am I missing anything you did for `examples/seq2seq`?",
"yes, except you shouldn't need \r\n```\r\nsys.path.append(os.path.join(os.getcwd())) # noqa: E402 # noqa: E402 # isort:skip\r\n```\r\nthat's what `__init__.py` already did for you.\r\n\r\nand once removed, all those subs... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | Before
```bash
pytest examples/rag
```
fails with
```
================================================================ ERRORS =================================================================
______________________________________ ERROR collecting examples/rag/test_distributed_retriever.py ______________________... | {
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https://api.github.com/repos/huggingface/transformers/issues/7711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7711/comments | https://api.github.com/repos/huggingface/transformers/issues/7711/events | https://github.com/huggingface/transformers/issues/7711 | 718,923,732 | MDU6SXNzdWU3MTg5MjM3MzI= | 7,711 | 2 Deberta test failures | {
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"Duplicate of https://github.com/huggingface/transformers/issues/7565\r\n\r\nWorking on it in https://github.com/huggingface/transformers/pull/7645"
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | I suspect these are related to recent tokenizer changes:
https://github.com/huggingface/transformers/runs/1236753957?check_suite_focus=true
```
FAILED tests/test_tokenization_deberta.py::DebertaTokenizationTest::test_torch_encode_plus_sent_to_model
FAILED tests/test_modeling_deberta.py::DebertaModelIntegrationT... | {
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https://api.github.com/repos/huggingface/transformers/issues/7710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7710/comments | https://api.github.com/repos/huggingface/transformers/issues/7710/events | https://github.com/huggingface/transformers/issues/7710 | 718,923,593 | MDU6SXNzdWU3MTg5MjM1OTM= | 7,710 | 2 RAG test failures | {
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"@sshleifer - thanks a lot for the issue! \r\n\r\nThis error seems related to https://github.com/huggingface/transformers/issues/7690#issuecomment-707382445. "
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | The two failures here look related to recent tokenizer changes:
https://github.com/huggingface/transformers/runs/1236753957?check_suite_focus=true
```
=========================== short test summary info ============================
FAILED tests/test_modeling_rag.py::RagModelIntegrationTests::test_rag_sequence... | {
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https://api.github.com/repos/huggingface/transformers/issues/7709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7709/comments | https://api.github.com/repos/huggingface/transformers/issues/7709/events | https://github.com/huggingface/transformers/pull/7709 | 718,869,523 | MDExOlB1bGxSZXF1ZXN0NTAxMTYzMDQy | 7,709 | [marian] Automate Tatoeba-Challenge conversion | {
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with instructions at `scripts/tatoeba/README.md`. This was previously impossible.
Tests are in `examples/` because the conversion requires examples dependencies (wget and pandas).
In my opinion, it would be a lot of w... | {
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https://api.github.com/repos/huggingface/transformers/issues/7708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7708/comments | https://api.github.com/repos/huggingface/transformers/issues/7708/events | https://github.com/huggingface/transformers/issues/7708 | 718,841,318 | MDU6SXNzdWU3MTg4NDEzMTg= | 7,708 | Fine Tuning SciBERT NLI model | {
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"Take a look at the official tutorial on fine-tuning a model on your own dataset here: https://huggingface.co/transformers/custom_datasets.html\r\n\r\nWhat's your dataset about? Is it text classification, question answering?\r\n\r\nBTW, please post any questions which are not bugs/new features you would like to see... | 1,602 | 1,602 | 1,602 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/7707 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7707/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7707/comments | https://api.github.com/repos/huggingface/transformers/issues/7707/events | https://github.com/huggingface/transformers/issues/7707 | 718,821,548 | MDU6SXNzdWU3MTg4MjE1NDg= | 7,707 | [NEW MODEL] Multilingual document embeddings: cT-LASER | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | # 🌟 New model addition
## Model description
Multilingual document embeddings by adapting the LASER architecture (which is based on BiLSTM) to transformer architectures.
## Open source status
* [x] the model implementation is available: open source implementation is here: https://github.com/ever4244/tfm_la... | {
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https://api.github.com/repos/huggingface/transformers/issues/7706 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7706/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7706/comments | https://api.github.com/repos/huggingface/transformers/issues/7706/events | https://github.com/huggingface/transformers/issues/7706 | 718,821,080 | MDU6SXNzdWU3MTg4MjEwODA= | 7,706 | run_tf_text_classification.py for custom dataset | {
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"@jplu might be interested in that issue."
] | 1,602 | 1,602 | 1,602 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: master
- Platform: ubuntu 18.04
- Python version: 3.6
- PyTorch version (GPU?): 2080ti
- Tensorflow ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/7705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7705/comments | https://api.github.com/repos/huggingface/transformers/issues/7705/events | https://github.com/huggingface/transformers/issues/7705 | 718,795,477 | MDU6SXNzdWU3MTg3OTU0Nzc= | 7,705 | Recording training loss and perplexity during training | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | I'm fine-tuning GPT-2 text generation with the following command on Colab:
python run_language_modeling.py \
--output_dir=$OUTPUT_DIR \
--model_type=gpt2 \
--model_name_or_path=$MODEL_NAME \
--do_train \
--train_data_file=$TRAIN_FILE \
--do_eval \
--eval_data_file=$TEST_FILE \
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/7704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7704/comments | https://api.github.com/repos/huggingface/transformers/issues/7704/events | https://github.com/huggingface/transformers/issues/7704 | 718,782,009 | MDU6SXNzdWU3MTg3ODIwMDk= | 7,704 | SQuAD example docs inaccurately suggest settings for bert-large-uncased on a single V100 | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | Hi!
In the SQuAD example docs, it's noted that ( https://github.com/huggingface/transformers/blob/3f42eb979f7bd20448ff6b15ab316d63f5489a6f/docs/source/examples.md#fine-tuning-bert-on-squad10 ) `This example code fine-tunes BERT on the SQuAD1.0 dataset. It runs in 24 min (with BERT-base) or 68 min (with BERT-large) o... | {
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https://api.github.com/repos/huggingface/transformers/issues/7703 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7703/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7703/comments | https://api.github.com/repos/huggingface/transformers/issues/7703/events | https://github.com/huggingface/transformers/pull/7703 | 718,770,485 | MDExOlB1bGxSZXF1ZXN0NTAxMDg4NDA1 | 7,703 | Corrected typo: maked → masked | {
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"Ugh and I copied that docstrings to all other models... Thanks for fixing!"
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | # What does this PR do?
Fixed small typo in the BERT documentation.
## Before submitting
✅ This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@LysandreJik @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/7702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7702/comments | https://api.github.com/repos/huggingface/transformers/issues/7702/events | https://github.com/huggingface/transformers/issues/7702 | 718,743,604 | MDU6SXNzdWU3MTg3NDM2MDQ= | 7,702 | Trainer callback breaks old code | {
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"Or add this check in `on_evaluate`\r\n```python\r\nif self.prediction_bar is not None:\r\n self.prediction_bar.close()\r\n```\r\n",
"I think the second solution is better (since it should be there in any case). We can add the events you suggest in the first one if we find other use cases that need them.\r\n\r... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/ba4bbd92bcb55febbfa06aaa1551738388ec7eb0/src/transformers/trainer_callback.py#L438-L447
Currently it depends on the fact that evaluate() will first call `self.prediction_loop` https://github.com/huggingface/transformers/blob/ba4bbd92bcb55febbfa06aaa1551738388ec7eb0/sr... | {
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https://api.github.com/repos/huggingface/transformers/issues/7701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7701/comments | https://api.github.com/repos/huggingface/transformers/issues/7701/events | https://github.com/huggingface/transformers/issues/7701 | 718,738,856 | MDU6SXNzdWU3MTg3Mzg4NTY= | 7,701 | Strange error while using the `LongformerForMultipleChoice` | {
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"The way `xxxForMultipleChoice` models work is actually a bit tricky. It works as follows (based on the [original explanation by the author of BERT](https://github.com/google-research/bert/issues/38)):\r\n\r\nGiven a question, and several options, the question + options are processed by the model independently. So ... | 1,602 | 1,612 | 1,608 | NONE | null | Hello,
I am trying to use `LongformerForMultipleChoice` model, and the code I am using is the following:
```python
# import the pre-trained HuggingFace Longformer tokenizer.
longformer_tokenizer = LongformerTokenizer.from_pretrained('allenai/longformer-base-4096')
# get the pre-trained HuggingFace Longformer
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7700 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7700/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7700/comments | https://api.github.com/repos/huggingface/transformers/issues/7700/events | https://github.com/huggingface/transformers/issues/7700 | 718,711,679 | MDU6SXNzdWU3MTg3MTE2Nzk= | 7,700 | GPT2DoubleHeadsModel documentation example question (error in documentation)? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | Hello,
I was reading the documentation for the GPT2DoubleHeadsModel, and I have a question.
In the documentation, the example shown is:
```python
import torch
from transformers import GPT2Tokenizer, GPT2DoubleHeadsModel
tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
model = GPT2DoubleHeadsModel.from_pretraine... | {
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https://api.github.com/repos/huggingface/transformers/issues/7699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7699/comments | https://api.github.com/repos/huggingface/transformers/issues/7699/events | https://github.com/huggingface/transformers/pull/7699 | 718,688,925 | MDExOlB1bGxSZXF1ZXN0NTAxMDI3NDQz | 7,699 | Fix check for xla in PreTrainedModel.save_pretrained() | {
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# What does this PR do?
Added is_torch_tpu_available() to the condition for saving a model as xla model when calling `PreTrainedModel.save_pretrained()`
The `xla_device` property of `config` can also be `True` on a non-xla device, when loading a checkpoint that was previously trained and saved on xla.
Loadin... | {
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https://api.github.com/repos/huggingface/transformers/issues/7698 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7698/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7698/comments | https://api.github.com/repos/huggingface/transformers/issues/7698/events | https://github.com/huggingface/transformers/issues/7698 | 718,685,452 | MDU6SXNzdWU3MTg2ODU0NTI= | 7,698 | MLflow Trainer Callback | {
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"Happy to get a PR on this!",
"@noise-field is remote tracking with remote server uri with authentication also enabled as part of this feature request ?",
"@RahulKulhari well, this is not part of the feature request, but you can certainly do remote tracking with mlflow callback. However, you will need to use ... | 1,602 | 1,614 | 1,603 | CONTRIBUTOR | null | # 🚀 Feature request
A callback to log hyperparameters, metrics and cofings/weights to MLFlow, like the existing wandb and Tensorboard callbacks.
## Motivation
I use MLFlow as my primary experiment tracking tool. It is convenient to run on a remote server and log the results from any of your training machines... | {
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https://api.github.com/repos/huggingface/transformers/issues/7697 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7697/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7697/comments | https://api.github.com/repos/huggingface/transformers/issues/7697/events | https://github.com/huggingface/transformers/issues/7697 | 718,654,097 | MDU6SXNzdWU3MTg2NTQwOTc= | 7,697 | tokenizers dependency warning: `transformers 3.3.1 has requirement tokenizers==0.8.1.rc2, but you'll have tokenizers 0.9.0` | {
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"Also stumbled upon this package. I was surprised we were forced to add the RC version of tokenizers. I would expect this to be pinned to \"0.8.1\" or \"0.9.1\"",
"https://github.com/huggingface/transformers/pull/7794 to update to release version 0.9.1",
"Hi, we have a strict requirement on `tokenizers==0.8.1rc... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.7.5
- PyTorch version (GPU?): 1.4.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7695 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7695/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7695/comments | https://api.github.com/repos/huggingface/transformers/issues/7695/events | https://github.com/huggingface/transformers/issues/7695 | 718,610,102 | MDU6SXNzdWU3MTg2MTAxMDI= | 7,695 | save_pretrained() does not check if xla is available | {
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- `transformers` version: 3.3.1
- Platform: Linux
- Python version: 3.6
- PyTorch version (GPU?): 1.4
- Tensorflow version (GPU?):
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
## Information
Model I am using (Bert, XLNet ...): Bert
The problem... | {
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"Thanks!"
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/7693 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7693/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7693/comments | https://api.github.com/repos/huggingface/transformers/issues/7693/events | https://github.com/huggingface/transformers/issues/7693 | 718,582,144 | MDU6SXNzdWU3MTg1ODIxNDQ= | 7,693 | How to get the word embedding after pre-training ? for example, a embedding matrix | {
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"It depends of what you understand as \"embedding\", as it can be ambiguous with transformer models. \r\n\r\nEmbeddings can be the embedding matrix, which returns context-less embedding of tokens, that you can obtain with `model.get_input_embeddings()`.\r\n\r\nEmbeddings can also be understood as the features gener... | 1,602 | 1,608 | 1,608 | NONE | null | I am excited on this great model. And I want to get the word embedding . Where shold I find the file from output or should I change to code to do this? | {
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"Might be of interest to @jplu ",
"Hello!\r\n\r\nCan you give more detail on how to reproduce your issue, otherwise we cannot help you.",
"> Hello!\r\n> \r\n> Can you give more detail on how to reproduce your issue, otherwise we cannot help you.\r\n\r\nThanks for your replay. I followed the instruction [here](h... | 1,602 | 1,614 | 1,614 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform: Ubuntu 18.04
- Python version: 3.6.9
- PyTorch version (GPU?):
- Tensorflow version (GPU?)... | {
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"Using tiny was very smart.\r\nWe upgraded to pytorch_lightning 0.9.0 (`pip install -r examples/requirements.txt`), does that fix your issue?",
"It worked! But.... I had to update pyarrow from 0.14.1 to 0.17.1 because I was getting the following error:\r\n`AttributeError: module 'pyarrow' has no attribute 'PyExte... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Ubuntu
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101
- Tensorflow ve... | {
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"Just to follow up on this, look like special tokens are loaded for the RAG generator [here](https://github.com/huggingface/transformers/blob/master/src/transformers/tokenization_utils_base.py#L1635), but it is not converted to `AddedTokens` [here](https://github.com/huggingface/transformers/blob/master/src/transf... | 1,602 | 1,602 | 1,602 | NONE | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Linux-5.4.0-48-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.9
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in scrip... | {
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https://api.github.com/repos/huggingface/transformers/issues/7689 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7689/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7689/comments | https://api.github.com/repos/huggingface/transformers/issues/7689/events | https://github.com/huggingface/transformers/pull/7689 | 718,472,843 | MDExOlB1bGxSZXF1ZXN0NTAwODYyOTMx | 7,689 | Fix flaky test in test_trainer | {
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As investigated with @LysandreJik today, the corresponding test was flaky because `loggin_dir` has a default that depends of time (so the test fails if the two Trainer are instantiated just before a new minute and just after). | {
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https://api.github.com/repos/huggingface/transformers/issues/7688 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7688/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7688/comments | https://api.github.com/repos/huggingface/transformers/issues/7688/events | https://github.com/huggingface/transformers/pull/7688 | 718,471,403 | MDExOlB1bGxSZXF1ZXN0NTAwODYxNzI2 | 7,688 | Adds license information for default and distilbert models | {
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"Thanks!",
"Thanks @julien-c!"
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | # What does this PR do?
Adds license information for default and `distilbert*` models. A follow up to #7668.
- Apache 2.0 for `distilbert*` based on https://github.com/huggingface/transformers/issues/3357#issuecomment-614856396
- MIT for `facebook/bart-large-mnli` based on https://github.com/huggingface/transfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/7687 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7687/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7687/comments | https://api.github.com/repos/huggingface/transformers/issues/7687/events | https://github.com/huggingface/transformers/pull/7687 | 718,469,809 | MDExOlB1bGxSZXF1ZXN0NTAwODYwMzc5 | 7,687 | Fix title level in Blenderbot doc | {
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The navigation bar is a bit crazy because the documentation of BlenderBot puts title and sections at the same level. This PR fixes that.
@LysandreJik merging as soon as it's green because it's a small fix, tagging you so you're aware. | {
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https://api.github.com/repos/huggingface/transformers/issues/7686 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7686/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7686/comments | https://api.github.com/repos/huggingface/transformers/issues/7686/events | https://github.com/huggingface/transformers/issues/7686 | 718,467,632 | MDU6SXNzdWU3MTg0Njc2MzI= | 7,686 | When downloading RAG dpr indexes, there is a pickle file loading error | {
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"It was probably because I repeatly downloaded the indexes and the previous incomplete files still exist. Issue closed",
"I met the same bug."
] | 1,602 | 1,615 | 1,602 | NONE | null | When I try to finetune RAG with following code:
```
self.config = RagConfig.from_pretrained("facebook/rag-token-base", n_docs=2, use_dummy_dataset=False)
self.tokenizer = RagTokenizer.from_pretrained("facebook/rag-token-base")
self.tokenizer.pad_token_id = AutoTokenizer.from_pretrained("facebook/bart-large").pad... | {
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https://api.github.com/repos/huggingface/transformers/issues/7685 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7685/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7685/comments | https://api.github.com/repos/huggingface/transformers/issues/7685/events | https://github.com/huggingface/transformers/issues/7685 | 718,355,136 | MDU6SXNzdWU3MTgzNTUxMzY= | 7,685 | Using PaddingStrategy and TruncationStrategy throws an UnboundLocalError in tokenizers | {
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"Hi! This should have been solved in `master`. Can you install from source and let us know if you're facing the same issue?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.7.7
- PyTorch version (GPU?): 1.6... | {
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https://api.github.com/repos/huggingface/transformers/issues/7684 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7684/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7684/comments | https://api.github.com/repos/huggingface/transformers/issues/7684/events | https://github.com/huggingface/transformers/issues/7684 | 718,282,206 | MDU6SXNzdWU3MTgyODIyMDY= | 7,684 | Error with running run_language_modeling.py on GCP TPU | {
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"This doesn't seem to be an issue with `transformers` but with your TPU and its communication with your VM. You would probably have more help if you asked over at https://github.com/pytorch/xla",
"@LysandreJik Thanks for your comment. The problem rooted in the TPU software version. Setting it to `PyTorch-1.6` res... | 1,602 | 1,602 | 1,602 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: GCP
- Python version: 3.6.10
- PyTorch version (GPU?): 1.6.0
- Tensorflow version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/7683 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7683/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7683/comments | https://api.github.com/repos/huggingface/transformers/issues/7683/events | https://github.com/huggingface/transformers/pull/7683 | 718,256,978 | MDExOlB1bGxSZXF1ZXN0NTAwNjgzMDUx | 7,683 | Gpt1 for sequence classification | {
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"This is great, thanks for working on it! There's something that I had forgotten in the initial GPT-2 implementation, which was to add it to the auto-models. I did it in this PR: https://github.com/huggingface/transformers/pull/7630.\r\n\r\nCould you apply the fix to GPT-1 as well, before we merge?",
"> This is g... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | # What does this PR do?
Adds sequence classification architecture for GPT-1,
Strongly based on modifications made in #7501
Fixes #7623 (issue) (Partially)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
- [x] Did you read the [cont... | {
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"Both pre-training and fine-tuning involve _training_ a model (i.e., updating the weights of the model using backpropagation).\r\n\r\n* In a first step, a model is (pre-)trained on a very large dataset (such as all English Wikipedia articles). BERT for example, is pre-trained on 2 tasks: masked language modeling (M... | 1,602 | 1,608 | 1,608 | NONE | null | I read lot of articles on pre-training vs fine-tuning but I am still not able to get the meaning in the context of transformer models, I understand the pre-training is training the dataset from scratch , while (point of confusion) the fine-tuning is using the pre-trained model/data and add on the top of that with our o... | {
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https://api.github.com/repos/huggingface/transformers/issues/7680 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7680/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7680/comments | https://api.github.com/repos/huggingface/transformers/issues/7680/events | https://github.com/huggingface/transformers/pull/7680 | 718,218,139 | MDExOlB1bGxSZXF1ZXN0NTAwNjUwNTgy | 7,680 | Better links for models in README and doc index | {
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This PR fixes the links to the docs for unreleased models and makes the automatic copy to the index.rst a little bit better (by using relative links so there is no jump in version).
It adds instructions in the setup.py to clean the master in the links for unreleased models at the time of a r... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | # 🚀 Feature request
Tensorflow version for the `EncoderDecoder` class for sequence to sequence text generation.
## Motivation
I am replicating [this](https://arxiv.org/pdf/1907.12461.pdf) paper which studies several combinations of encoder and decoder with pretrained checkpoints. Most of it is implemented very ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7678 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7678/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7678/comments | https://api.github.com/repos/huggingface/transformers/issues/7678/events | https://github.com/huggingface/transformers/pull/7678 | 718,158,515 | MDExOlB1bGxSZXF1ZXN0NTAwNTk5OTU4 | 7,678 | Fix dataset cardinality | {
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... | [] | closed | false | null | [] | [] | 1,602 | 1,686 | 1,602 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes an issue with the generic text classification example where the size of the datasets were not properly set.
Fixes #7637 | {
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https://api.github.com/repos/huggingface/transformers/issues/7677 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7677/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7677/comments | https://api.github.com/repos/huggingface/transformers/issues/7677/events | https://github.com/huggingface/transformers/issues/7677 | 718,138,408 | MDU6SXNzdWU3MTgxMzg0MDg= | 7,677 | Batch and smart batch support for pipelines. | {
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"I see the following requirements:\r\n\r\n1. automatic batching\r\n2. maybe smart batching\r\n3. multi GPU support\r\n4. Tokenization with multiple processes in parallel to the prediction\r\n5. `max_length` and `truncation` support\r\n",
"This issue has been automatically marked as stale because it has not had re... | 1,602 | 1,608 | 1,608 | CONTRIBUTOR | null | # 🚀 Feature request
## Motivation
I want to use `TextClassificationPipeline` to classify a large number of texts.
The naive approach is:
```python
model = AutoModelForSequenceClassification.from_pretrained(model_dir)
tokenizer = AutoTokenizer.from_pretrained(model_dir)
pipeline = TextClassificationPipeline(... | {
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https://api.github.com/repos/huggingface/transformers/issues/7676 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7676/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7676/comments | https://api.github.com/repos/huggingface/transformers/issues/7676/events | https://github.com/huggingface/transformers/issues/7676 | 718,099,209 | MDU6SXNzdWU3MTgwOTkyMDk= | 7,676 | TFTrainer doesn't work | {
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"Hello!\r\n\r\nIt looks to be an XLA error due to a precision issue. Did you train your model with mixed precision?",
"No, It was trained with the official Bert script on TPU without mixed precision.",
"By official Bert script you mean this one ? https://github.com/tensorflow/models/blob/master/official/nlp/ber... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (False)
- Tensorflow version (GPU?): 2.3.0 (False)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
###... | {
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https://api.github.com/repos/huggingface/transformers/issues/7675 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7675/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7675/comments | https://api.github.com/repos/huggingface/transformers/issues/7675/events | https://github.com/huggingface/transformers/issues/7675 | 718,084,179 | MDU6SXNzdWU3MTgwODQxNzk= | 7,675 | Add FAVOR+ / Performer attention | {
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"Just for reference, there is two open-source MIT implementations in pytorch.\r\n\r\nhttps://github.com/lucidrains/performer-pytorch\r\nAnd\r\nhttps://github.com/idiap/fast-transformers",
"This could prove particularly important for longer sequences like protein sequences and long texts.\r\nHigh level overview at... | 1,602 | 1,649 | null | CONTRIBUTOR | null | # 🌟 FAVOR+ / Performer attention addition
Are there any plans to add this new attention approximation block to Transformers library?
## Model description
The new attention mechanism with linear time and space complexity was introduced in
_Rethinking Attention with Performers_ [[https://arxiv.org/abs/2009.1479... | {
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https://api.github.com/repos/huggingface/transformers/issues/7674 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7674/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7674/comments | https://api.github.com/repos/huggingface/transformers/issues/7674/events | https://github.com/huggingface/transformers/issues/7674 | 717,999,062 | MDU6SXNzdWU3MTc5OTkwNjI= | 7,674 | Correctly tokenize sentence pairs | {
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"This would be still interesting.\r\n\r\nFor tokenizing a list of pairs I get \r\n\r\n```\r\ninput_ids = tokenizer(pairs, max_length=50, padding=\"max_length\",truncation=True, return_tensors=\"tf\")\r\n\r\n 'token_type_ids': <tf.Tensor: shape=(1, 50), dtype=int32, numpy=\r\narray([[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,... | 1,602 | 1,614 | 1,614 | NONE | null | Hey,
I saw different ways to tokenize sentence pairs and the intuitive one is not shown here:
https://huggingface.co/transformers/preprocessing.html#preprocessing-pairs-of-sentences
So, I am asking here if I do right.
I encode pairs of sentence using list of lists. Instead handing over two seperate lists fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/7673 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7673/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7673/comments | https://api.github.com/repos/huggingface/transformers/issues/7673/events | https://github.com/huggingface/transformers/issues/7673 | 717,904,596 | MDU6SXNzdWU3MTc5MDQ1OTY= | 7,673 | squad data preprocessor error (list index out of range) while finetuning bert on squad 1.1 | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"@dineshggaonkar Did you fix it?\r\n"
] | 1,602 | 1,619 | 1,608 | NONE | null | run_squad.py throws this error on squad v1.1 dataset
Traceback (most recent call last):
File "run_squad.py", line 820, in <module>
main()
File "run_squad.py", line 762, in main
train_dataset = load_and_cache_examples(args, tokenizer, evaluate=False, output_examples=False)
File "run_squad.py", lin... | {
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https://api.github.com/repos/huggingface/transformers/issues/7672 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7672/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7672/comments | https://api.github.com/repos/huggingface/transformers/issues/7672/events | https://github.com/huggingface/transformers/pull/7672 | 717,854,722 | MDExOlB1bGxSZXF1ZXN0NTAwMzQ2NjIz | 7,672 | [pegasus] Faster tokenizer tests | {
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* The suggested `fixtures/test_sentencepiece.model` couldn't be used since it has wrong special token ids: we need
1. no bos
2. eos_id is 1
3. unk_id is 2
added a script that builds a custom tokenizer model: `test_sentencepiece_no_bos.model`. Had to figure out how to match... | {
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"(tagging @eltoto1219 for information)"
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | The same type of errors as in https://github.com/huggingface/transformers/pull/4300
# What does this PR do?
DataParallel replicate has a known issue in PyTorch 1.5: https://github.com/pytorch/pytorch/issues/40457
A similar PR proposes a work around by removing the `next(self.parameters().dtype)`: https://github.... | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this with a d... | {
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"`facebook/bart-large-mnli` is `mit` like other pretrained models initially released in [fairseq](https://github.com/pytorch/fairseq#license)\r\n\r\nFor `dbmdz` I'll let @stefan-it chime in, with the caveat that lineage/inheritance of licenses in fine-tuned ML models is (AFAIK) uncharted territory so if you have mo... | 1,602 | 1,608 | 1,608 | CONTRIBUTOR | null | Hi, thanks for the great library!
I've been trying to compile a list of licenses for the default models and wanted to share in case others were wondering about it. Here's what I have so far:
*Note: table has been updated based on this discussion.*
Task | Model | License | Model Card w/ License
--- | --- | ---... | {
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https://api.github.com/repos/huggingface/transformers/issues/7666 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7666/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7666/comments | https://api.github.com/repos/huggingface/transformers/issues/7666/events | https://github.com/huggingface/transformers/issues/7666 | 717,567,864 | MDU6SXNzdWU3MTc1Njc4NjQ= | 7,666 | Clear up confusing translation pipeline task naming | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | NONE | null | # 🚀 Feature request
Hello!
I am using the translation pipeline, and I noticed that even though I have to specify the language when I create the pipeline, the passed model overwrites that. So pipeline created as
`nlp = pipeline('translation_en_to_de', 'Helsinki-NLP/opus-mt-en-jap')`
would translate english to japa... | {
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https://api.github.com/repos/huggingface/transformers/issues/7665 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7665/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7665/comments | https://api.github.com/repos/huggingface/transformers/issues/7665/events | https://github.com/huggingface/transformers/issues/7665 | 717,565,489 | MDU6SXNzdWU3MTc1NjU0ODk= | 7,665 | tokenizer_bert.py not call _clean_text? | {
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But seems this function is not be called at all?
In google bert(https://github.com/google-research/bert/blob/master/tokenization.py) there exists a same function and that function has been called at the beginning of the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7664 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7664/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7664/comments | https://api.github.com/repos/huggingface/transformers/issues/7664/events | https://github.com/huggingface/transformers/issues/7664 | 717,556,298 | MDU6SXNzdWU3MTc1NTYyOTg= | 7,664 | TF Slow test CI | {
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"You're correct, it is not currently running as there were some issues setting up both the PT/TF test suites. Will look into it this afternoon.",
"The slow tests in TF take an absurdly long time. I had to stop them from running after ~3.5 hours as it was holding the whole test suite back. Will investigate more on... | 1,602 | 1,608 | 1,608 | CONTRIBUTOR | null | I Don't think tf slow tests are run by circleci OR github actions.
Should they be @LysandreJik ? | {
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https://api.github.com/repos/huggingface/transformers/issues/7663 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7663/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7663/comments | https://api.github.com/repos/huggingface/transformers/issues/7663/events | https://github.com/huggingface/transformers/issues/7663 | 717,555,492 | MDU6SXNzdWU3MTc1NTU0OTI= | 7,663 | 2 slow TF T5 common tests failing on master | {
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"Yeah, that's a know failure and I didn't manage to make it work yet with the `cast_bool_to_primite(...)` function",
"This should be fixed in the next big TF rework.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Than... | 1,602 | 1,608 | 1,608 | CONTRIBUTOR | null | These should probably be run on CI somewhere.
Didn't know whether to assign @patrickvonplaten or @jplu.
These fail in both tf 2.2 and tf 2.3.
#### Command
```bash
RUN_SLOW=1 pytest tests/test_modeling_tf_t5.py -k saved
```
#### Traceback
```
===============================================================... | {
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"I'm not sure how we can expect this to work with the encoding and the usage of the `generate` method directly in the forward method.\r\n\r\n@patrickvonplaten can chime in if I'm wrong, but I believe the `generate` method can not be back-propagated through as it is right now.",
"@LysandreJik I came across one iss... | 1,602 | 1,608 | 1,608 | NONE | null | **Setup**
pytorch: 1.5.1
huggingface transformers: 3.0.2
python: 3.7.6
OS: Pop!_OS 20.04 on VM
**Sample Code**
```python
from transformers import GPT2Tokenizer, GPT2LMHeadModel, TrainingArguments, Trainer
import torch
from torch.utils.data import Dataset
import sys
import pandas as pd
ZERO = sys.float_i... | {
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cc @julien-c | {
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https://api.github.com/repos/huggingface/transformers/issues/7660 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7660/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7660/comments | https://api.github.com/repos/huggingface/transformers/issues/7660/events | https://github.com/huggingface/transformers/pull/7660 | 717,516,162 | MDExOlB1bGxSZXF1ZXN0NTAwMDY0ODU1 | 7,660 | [broken] tf generate: use model_kwargs | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread."
] | 1,602 | 1,614 | 1,614 | CONTRIBUTOR | null | @patrickvonplaten , I started trying to get tf generation/cache to be consistent with pytorch, but got stuck trying to get T5 working. I figured I would share in case you see an easy fix/want to take over. Otherwise, feel free to ignore :) | {
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https://api.github.com/repos/huggingface/transformers/issues/7659 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7659/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7659/comments | https://api.github.com/repos/huggingface/transformers/issues/7659/events | https://github.com/huggingface/transformers/pull/7659 | 717,423,444 | MDExOlB1bGxSZXF1ZXN0NDk5OTg4NDM5 | 7,659 | [Dependencies|tokenizers] Make both SentencePiece and Tokenizers optional dependencies | {
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"Ok ready for review @LysandreJik @sgugger.\r\n\r\nIt's pretty big sorry.\r\n\r\nFor now sentencepiece is still in the requirements as removing it has some effect on the pipeline tests and I think it's probably good to study this in a separate future PR.\r\n\r\nThere is no breaking change apart from the fact that i... | 1,602 | 1,603 | 1,603 | MEMBER | null | # What does this PR do?
Both the [SentencePiece](https://github.com/google/sentencepiece) and [Tokenizers](https://github.com/huggingface/tokenizers) libraries can limit the users:
- `sentencepiece` is not available on Conda on every plateform and one of the reason `transformers` is not on Conda
- `tokenizers` can... | {
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"Thanks a lot!"
] | 1,602 | 1,602 | 1,602 | MEMBER | null | # What does this PR do?
Update the torch-hub CI test dependencies to add protobuf and pin tokenizer on 0.9.0-rc2 until final release.
## Who can review?
@sgugger @n1t0 | {
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"Yes, unfortunately that link will only be live at the next release (for now squeezeBERT is only in master, so only in the master documentation).\r\n@LysandreJik not sure if there is a way to properly fix this unless we add \"Check all the links in the README to remove the master\" in our release check list.",
"Y... | 1,602 | 1,602 | 1,602 | NONE | null | The main Readme.md file (https://github.com/huggingface/transformers/blob/master/README.md), the SqueezeBert link (https://huggingface.co/transformers/model_doc/squeezebert.html) gives a "404 - Not Found" Error. | {
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https://api.github.com/repos/huggingface/transformers/issues/7656 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7656/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7656/comments | https://api.github.com/repos/huggingface/transformers/issues/7656/events | https://github.com/huggingface/transformers/issues/7656 | 717,169,887 | MDU6SXNzdWU3MTcxNjk4ODc= | 7,656 | T5 Beam search num_beans always equals 1 | {
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"Hey @marcoabrate, \r\n\r\nplease make sure that you use the correct parameter name `num_beams` instead of `num_beans`. \r\nWhen using `num_beams`, I cannot reproduce your error.",
"of course it was that!\r\n\r\nthank you"
] | 1,602 | 1,602 | 1,602 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Debian 10.6
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6
- Tensorflow versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/7655 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7655/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7655/comments | https://api.github.com/repos/huggingface/transformers/issues/7655/events | https://github.com/huggingface/transformers/issues/7655 | 717,086,464 | MDU6SXNzdWU3MTcwODY0NjQ= | 7,655 | Eval_loss in prediction is very high : transformers/examples/token-classification/run_ner.py | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Any updates?!? On training, it is very low and on the evaluation its insanely high, I tried to check if the hyper parameters were the p... | 1,602 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Linux-4.9.0-12-amd64-x86_64-with-debian-9.12
- Python version: 3.7.6
- PyTorch version (GPU?): 1.4.0
- Tensorflow version (GPU?): not installed
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who ca... | {
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https://api.github.com/repos/huggingface/transformers/issues/7654 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7654/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7654/comments | https://api.github.com/repos/huggingface/transformers/issues/7654/events | https://github.com/huggingface/transformers/issues/7654 | 717,046,015 | MDU6SXNzdWU3MTcwNDYwMTU= | 7,654 | output probabilities of generated sequences in generate function | {
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"Duplicate of https://github.com/huggingface/transformers/issues/3891",
"Actually, those issues are different and we should probably provide this functionality!",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you... | 1,602 | 1,619 | 1,619 | CONTRIBUTOR | null | # 🚀 Feature request
output probabilities of generated sequences in generate function (generation utils)
thank you so much! :) | {
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https://api.github.com/repos/huggingface/transformers/issues/7653 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7653/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7653/comments | https://api.github.com/repos/huggingface/transformers/issues/7653/events | https://github.com/huggingface/transformers/pull/7653 | 716,969,454 | MDExOlB1bGxSZXF1ZXN0NDk5NjE0Mjg1 | 7,653 | [pseudolabels] cleanup markdown table | {
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https://api.github.com/repos/huggingface/transformers/issues/7652 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7652/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7652/comments | https://api.github.com/repos/huggingface/transformers/issues/7652/events | https://github.com/huggingface/transformers/pull/7652 | 716,956,136 | MDExOlB1bGxSZXF1ZXN0NDk5NjAzNjE3 | 7,652 | Fix 3 failing slow bart/blender tests | {
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"I don't think the change can possibly harm, so I will merge without review. cc @sgugger @LysandreJik "
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | 3 of these were simple fixes.
+ 1 typo in blenderbot
+ 2 BART failures changed by new `assert_tensors_close` helper fn checking shapes more aggressively. Output shapes have not changed.
The fourth failure is a bit harder to verify
Blenderbot 3b was OOMing
before fix: 11.4 GB
After: 6.4 GB
Why: going to fp16 b... | {
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https://api.github.com/repos/huggingface/transformers/issues/7651 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7651/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7651/comments | https://api.github.com/repos/huggingface/transformers/issues/7651/events | https://github.com/huggingface/transformers/issues/7651 | 716,951,348 | MDU6SXNzdWU3MTY5NTEzNDg= | 7,651 | Fix Failing Slow tests | {
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FAILED tests/test_modeling_bart.py::BartHeadTests::test_tokenization - Assert...
FAILED tests/test_modeling_bart.py::BartModelIntegrationTests::test_mnli_inference
FAILED tests/test_modeling_blenderbot.py::Blenderbot3BIntegrationTests::test_generation_from_short_input_same_as_parlai_3B
FAILED tests/test_modelin... | {
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https://api.github.com/repos/huggingface/transformers/issues/7650 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7650/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7650/comments | https://api.github.com/repos/huggingface/transformers/issues/7650/events | https://github.com/huggingface/transformers/pull/7650 | 716,910,916 | MDExOlB1bGxSZXF1ZXN0NDk5NTY2NTc3 | 7,650 | Import integration libraries first | {
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This PR restores the order of importing 3rd-party integrations before other ML frameworks, and before any other transformer modules.
## Before PR:
* importing comet_ml later causes an error
## After PR:
* using comet_ml functionality is restored | {
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https://api.github.com/repos/huggingface/transformers/issues/7649 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7649/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7649/comments | https://api.github.com/repos/huggingface/transformers/issues/7649/events | https://github.com/huggingface/transformers/issues/7649 | 716,894,798 | MDU6SXNzdWU3MTY4OTQ3OTg= | 7,649 | setup of Trainer class for distributed trainning | {
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"We prefer to use the [forum](https://discuss.huggingface.co/) for questions like this. The class `HFArgumentParser` is there to help parse the arguments received by your script and pass them along to `Trainer`. Look at the [run_glue script](https://github.com/huggingface/transformers/blob/master/examples/text-clas... | 1,602 | 1,609 | 1,609 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/7648 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7648/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7648/comments | https://api.github.com/repos/huggingface/transformers/issues/7648/events | https://github.com/huggingface/transformers/issues/7648 | 716,813,052 | MDU6SXNzdWU3MTY4MTMwNTI= | 7,648 | does tokenizer support emoji? | {
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"Hi! The tokenizer you're using (`bert-base-uncased`) was not trained with emojis, therefore it cannot tokenize them correctly. You should add this token to the tokenizer vocabulary:\r\n```py\r\nfrom transformers import BertTokenizer\r\n\r\ntokenizer = BertTokenizer.from_pretrained('bert-base-uncased', do_lower_cas... | 1,602 | 1,602 | 1,602 | NONE | null | Hi, I have the code below and it always encodes emoji as "unk". Can someone tell me what I should do? Thanks
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased', do_lower_case=True)
s =" 😃 hello how are you"
tokenizer.tokenize(s)
['[UNK]', 'hello', 'how', 'are', 'you'] | {
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https://api.github.com/repos/huggingface/transformers/issues/7647 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7647/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7647/comments | https://api.github.com/repos/huggingface/transformers/issues/7647/events | https://github.com/huggingface/transformers/issues/7647 | 716,800,235 | MDU6SXNzdWU3MTY4MDAyMzU= | 7,647 | Project: Gather summarization datasets and try to replicate pegasus results on them | {
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"yes, please",
"I could work on getting the datsets, replicating will be hard (compute!!!). I have shared wikihow and arxiv on forum",
"I will start working on this over the next few days, so let's not duplicate the efforts and claim here which ones we are working on.",
"@stas00 \r\n\r\nfollowing remaining da... | 1,602 | 1,623 | 1,603 | CONTRIBUTOR | null | Dear @stas00 and whoever else is willing to help!
So far I have only checked pegasus' rouge scores on 2/12 datasets for which we have checkpoints.
For the other 10 datasets I either haven't tried or have tried briefly and gotten stuck.
The full scope of the project is that:
for each dataset:
1) There is an... | {
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"Hello! Thanks a lot for opening this PR. It seems that in the process, you ran a merge that went somewhat unexpectedly, as there's now 37 files changes and a +1960/-40 diff, which makes it impossible to review. Do you mind opening a new PR with only your commits, so that we can review it?",
"> Hello! Thanks a lo... | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | # What does this PR do?
Adds sequence classification architecture for GPT-1,
Strongly based on modifications made in #7501
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"@LysandreJik I just fix the numeric part of the tests. Another issue is that I just made the change to the model state keys, i.e. change bert.encoder to deberta.encoder. However, I can only upload the model to **DeBERTa/deberta-base, DeBERTa/deberta-large**. Could you help to mv those two model to the namespace o... | 1,602 | 1,612 | 1,602 | CONTRIBUTOR | null | # What does this PR do?
<!--
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"How many labels does your model have? You can see with `print(model.config.num_labels)`. If it's larger than the length of your `label_list`, that could result in an index out of range error.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no furt... | 1,602 | 1,608 | 1,608 | NONE | null | Hello,
I am running the code through your documentation for named entity recognition and am trying to save this "ner" model locally:
https://huggingface.co/transformers/usage.html#named-entity-recognition
```
nlp = pipeline("ner")
sequence = "Hugging Face Inc. is a company based in New York City. Its headq... | {
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"This has been fixed already but is only visible in the master documentation: see [here](https://huggingface.co/transformers/master/model_doc/bert.html#bertformaskedlm). The documentation that is shown by default corresponds to the last release and the fix in the docstrings has been done since then :-)",
"This is... | 1,602 | 1,608 | 1,608 | NONE | null | Hello,
I have a question about the example code that can be found in the documentation for `BertForMaskedLM` model. The example from the documentation is shown below:
```python
from transformers import BertTokenizer, BertForMaskedLM
import torch
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model... | {
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closes #7635 | {
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https://api.github.com/repos/huggingface/transformers/issues/7641 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7641/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7641/comments | https://api.github.com/repos/huggingface/transformers/issues/7641/events | https://github.com/huggingface/transformers/pull/7641 | 716,653,642 | MDExOlB1bGxSZXF1ZXN0NDk5MzUyOTAw | 7,641 | [s2s] configure lr_scheduler from command line | {
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This PR adds the ability to configure `lr_scheduler` from command line for `Seq2SeqTrainer`.
Fixes #7543
@sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/7640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7640/comments | https://api.github.com/repos/huggingface/transformers/issues/7640/events | https://github.com/huggingface/transformers/pull/7640 | 716,560,146 | MDExOlB1bGxSZXF1ZXN0NDk5Mjc1MzEz | 7,640 | Create README.md for IsRoBERTa language model | {
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"Thanks for sharing! We had a few models already but only for translation: https://huggingface.co/models?filter=is"
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | # What does this PR do?
Adds a model card Readme for the IsRoBERTa language model
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https://api.github.com/repos/huggingface/transformers/issues/7639 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7639/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7639/comments | https://api.github.com/repos/huggingface/transformers/issues/7639/events | https://github.com/huggingface/transformers/pull/7639 | 716,549,861 | MDExOlB1bGxSZXF1ZXN0NDk5MjY2ODc1 | 7,639 | [s2s] release pseudolabel links and instructions | {
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"cc @patil-suraj "
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | + Release a bunch of summarization and translation pseudolabels with reasonably nice documentation.
+ Allow `make_student(teacher, 'student_000_baseline', 12, 3, d_layers_to_copy=[0,0,0])` for baseline purposes. | {
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https://api.github.com/repos/huggingface/transformers/issues/7638 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7638/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7638/comments | https://api.github.com/repos/huggingface/transformers/issues/7638/events | https://github.com/huggingface/transformers/issues/7638 | 716,536,213 | MDU6SXNzdWU3MTY1MzYyMTM= | 7,638 | error AttributeError: 'tuple' object has no attribute 'logits' | {
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"Can you replace:\r\n\r\n```python\r\ntoken_logits = model(input).logits\r\n```\r\nby\r\n\r\n```python\r\ntoken_logits = model(input, return_dict=True).logits\r\n```\r\n\r\nand see if the error persists? ",
"Can you give a link to the example, so that we can fix the code snippet? ",
"Hi Patrick,\n\nThe suggeste... | 1,602 | 1,701 | 1,602 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
AttributeError Traceback (most recent call last)
<ipython-input-4-594fed3b7299> in <module>()
6 input ... | {
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"Hello!\r\n\r\nThis is a bug indeed, I will fix it ASAP!\r\n\r\nAbout the issue with forcing `from_pt` to True, you should just give the name of your PT model that finishes with `.bin` and not the folder.",
"Hi @jplu !\r\nRegarding the `from_pt` parameter, so there is no way for me to use the model name which was... | 1,602 | 1,602 | 1,602 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1 (installed from master)
- Platform: Linux-4.15.0-118-generic-x86_64-with-debian-stretch-sid
- Pyth... | {
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https://api.github.com/repos/huggingface/transformers/issues/7636 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7636/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7636/comments | https://api.github.com/repos/huggingface/transformers/issues/7636/events | https://github.com/huggingface/transformers/pull/7636 | 716,483,152 | MDExOlB1bGxSZXF1ZXN0NDk5MjExNjc4 | 7,636 | Model templates | {
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This PR's goal is to make adding a new model way simpler, by having a simple CLI request information, generate files, that will th... | {
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https://api.github.com/repos/huggingface/transformers/issues/7635 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7635/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7635/comments | https://api.github.com/repos/huggingface/transformers/issues/7635/events | https://github.com/huggingface/transformers/issues/7635 | 716,443,911 | MDU6SXNzdWU3MTY0NDM5MTE= | 7,635 | ImportError: cannot import name 'RobertaLMHeadModel' | {
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"Hello, the `RobertaLMHeadModel` is a PyTorch model, you would need to have PyTorch installed to import it.\r\n\r\nIf you want to use the TensorFlow variant, you should use the `TFRobertaLMHeadModel`",
"Yeap, sorry for not including it in the Environment info, I have torch 1.6 installed. \r\nThe following script:... | 1,602 | 1,602 | 1,602 | NONE | null | Hi all, I was just trying to run a text generation script for low-resource languages, and therefore experimented with XLM-R and initially with Roberta, using the documentation for RobertaForCausalLM:
here: https://huggingface.co/transformers/model_doc/roberta.html#robertaforcausallm
I am running into the import err... | {
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here: https://huggingface.co/transformers/model_doc/roberta.html#robertaforcausallm
I am running into the import err... | {
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https://api.github.com/repos/huggingface/transformers/issues/7633 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7633/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7633/comments | https://api.github.com/repos/huggingface/transformers/issues/7633/events | https://github.com/huggingface/transformers/issues/7633 | 716,376,357 | MDU6SXNzdWU3MTYzNzYzNTc= | 7,633 | How to get cross attention for bert when config.add_cross_attention is True | {
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"Hey @qmeeus - thanks for your issue. This corresponds actually to a larger feature requests since we never return the attention masks at the moment. I will open a discussion about this internally and add it to the projects. ",
"Hi @patrickvonplaten and thank you for your answer ! Let me know if I can help in any... | 1,602 | 1,607 | 1,607 | CONTRIBUTOR | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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https://api.github.com/repos/huggingface/transformers/issues/7632 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7632/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7632/comments | https://api.github.com/repos/huggingface/transformers/issues/7632/events | https://github.com/huggingface/transformers/issues/7632 | 716,370,517 | MDU6SXNzdWU3MTYzNzA1MTc= | 7,632 | Unique names for dataset cache for each tokenizer | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,602 | 1,608 | 1,608 | CONTRIBUTOR | null | # 🚀 Feature request
Currently in the examples, dataset caches are named for the family of tokenizer used. For example, 'cached_train_BertTokenizer_128'. This may lead to unexpected behavior when running multiple models/tokenizers within the same model type, but different variations on the model/tokenizer.
In th... | {
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https://api.github.com/repos/huggingface/transformers/issues/7631 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7631/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7631/comments | https://api.github.com/repos/huggingface/transformers/issues/7631/events | https://github.com/huggingface/transformers/issues/7631 | 716,360,790 | MDU6SXNzdWU3MTYzNjA3OTA= | 7,631 | Is there a fine-tuning script for DPR? | {
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"Hey @shamanez - I don't think there is a fine-tuning script for DPR at the moment, but we always welcome contributions as such! @lhoestq might have more information. \r\n",
"I just have one more question about the DPR model used in RAG (specially the **Doc-Encoder network**).\r\n\r\nIs the **doc-encoder** pretr... | 1,602 | 1,608 | 1,608 | CONTRIBUTOR | null | It would be nice to have a fine-tuning script for DPR. | {
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https://api.github.com/repos/huggingface/transformers/issues/7630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7630/comments | https://api.github.com/repos/huggingface/transformers/issues/7630/events | https://github.com/huggingface/transformers/pull/7630 | 716,352,901 | MDExOlB1bGxSZXF1ZXN0NDk5MTA1NjQ5 | 7,630 | Add GPT2 to sequence classification auto model | {
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closes #7493. | {
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https://api.github.com/repos/huggingface/transformers/issues/7629 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7629/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7629/comments | https://api.github.com/repos/huggingface/transformers/issues/7629/events | https://github.com/huggingface/transformers/pull/7629 | 716,240,315 | MDExOlB1bGxSZXF1ZXN0NDk5MDE1Njc3 | 7,629 | Update model card - Fix arxiv link | {
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# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/7628 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7628/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7628/comments | https://api.github.com/repos/huggingface/transformers/issues/7628/events | https://github.com/huggingface/transformers/issues/7628 | 716,223,723 | MDU6SXNzdWU3MTYyMjM3MjM= | 7,628 | The newly added config decoder_start_token_id for bart-base model is wrong? | {
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"A similar problem is here [#5212](https://github.com/huggingface/transformers/issues/5212)",
"Moved there."
] | 1,602 | 1,602 | 1,602 | NONE | null | The new config file for `bart-base` has been updated on October 5.th. The new config file looks like the following:
```
{
...
"bos_token_id": 0,
...
"decoder_start_token_id": 2,
...
"eos_token_id": 2,
...
}
```
the `decoder_start_token_id` was added newly, it wasn't there before. But as far... | {
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https://api.github.com/repos/huggingface/transformers/issues/7627 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7627/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7627/comments | https://api.github.com/repos/huggingface/transformers/issues/7627/events | https://github.com/huggingface/transformers/pull/7627 | 716,195,686 | MDExOlB1bGxSZXF1ZXN0NDk4OTc4MTcw | 7,627 | Added sampler'set_epoch when use distributed training | {
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] | 1,602 | 1,608 | 1,608 | NONE | null | `run_squad.py` file is independent of `Trainer Class`(https://github.com/huggingface/transformers/issues/4398). Therefore, there is no method related to `set_epoch` in distributed training. | {
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"Hey @gabisurita - I understand that one might want to forward encoder_outputs in the generate function. However, adding such a possibility opens the door for many problems in case `beam_search` is chosen. We are currently working on a bigger refactor that should solve this problem by a better design choice of `gen... | 1,602 | 1,619 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: Github Main branch
### Who can help
TextGeneration: @TevenLeScao
## Information
Model I am ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7625/comments | https://api.github.com/repos/huggingface/transformers/issues/7625/events | https://github.com/huggingface/transformers/pull/7625 | 716,114,179 | MDExOlB1bGxSZXF1ZXN0NDk4OTExOTMw | 7,625 | Create README.md | {
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"will merge in the meantime, @lanwuwei \r\n\r\nFeel free to re-open a PR to update if needed."
] | 1,602 | 1,603 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/7624 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7624/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7624/comments | https://api.github.com/repos/huggingface/transformers/issues/7624/events | https://github.com/huggingface/transformers/issues/7624 | 716,108,290 | MDU6SXNzdWU3MTYxMDgyOTA= | 7,624 | Free Inference API Not Accessible | {
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"Hi Nathan, can you send us a quick email to api-enterprise@huggingface.co? \r\n\r\nThe free version of the Hub's Inference API is still up, but maybe you've hit the rate limiting?",
"Resolved. Ended up being a misinterpretation of my part on error codes that HF's API produces."
] | 1,602 | 1,602 | 1,602 | CONTRIBUTOR | null | Hi, I attempted to use the free version of the Model Hub's Inference API. However, it is not working for me anymore:
I do have an account and I am signed in when I get the above message. I also have done ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7623/comments | https://api.github.com/repos/huggingface/transformers/issues/7623/events | https://github.com/huggingface/transformers/issues/7623 | 716,040,970 | MDU6SXNzdWU3MTYwNDA5NzA= | 7,623 | Implement PyTorch and/or TensorFlow sequence classification architectures for causal language models | {
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"Hi @LysandreJik is this issue still open? I'll like to pick it up",
"I believe @fmcurti is working on the OpenAI GPT implementation, but both CTRL and TransfoXL are still open! Would love a PR!",
"Hi Lysandre, thanks for assigning this issue to me. I've been trying to\nsetup transformers on my local machine (W... | 1,602 | 1,606 | 1,606 | MEMBER | null | # 🚀 Feature request
The architecture `GPT2ForSequenceClassification` was added in #7501 in PyTorch. It would be great to have it in TensorFlow (cf. issues #7622), but it would also be great to have it for other causal models: ~OpenAI GPT~, ~CTRL~ (PR opened @elk-cloner), ~TransfoXL~ (PR opened @spatil6)
Below is... | {
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https://api.github.com/repos/huggingface/transformers/issues/7622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7622/comments | https://api.github.com/repos/huggingface/transformers/issues/7622/events | https://github.com/huggingface/transformers/issues/7622 | 716,038,321 | MDU6SXNzdWU3MTYwMzgzMjE= | 7,622 | Implement a TF2 version of `GPT2ForSequenceClassification` | {
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"May I take a crack at this? :)",
"Yes, you may! Thanks @y2s82!",
"Hi @LysandreJik , I have completed development for this FR. can you please assign it to me, so i'll raise PR for it.",
"Feel free to open a PR"
] | 1,602 | 1,607 | 1,607 | MEMBER | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
The architecture `GPT2ForSequenceClassification` was added in #7501 in PyTorch. It would be great to have it in TensorFlow as well.
Below is a list of ite... | {
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