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https://api.github.com/repos/huggingface/transformers/issues/8121 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8121/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8121/comments | https://api.github.com/repos/huggingface/transformers/issues/8121/events | https://github.com/huggingface/transformers/pull/8121 | 731,584,338 | MDExOlB1bGxSZXF1ZXN0NTExNjY1MDg4 | 8,121 | fix(trainer_callback]: typo | {
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"Thanks a ton!"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
Fix a typo in `trainer_callback`
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https://api.github.com/repos/huggingface/transformers/issues/8120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8120/comments | https://api.github.com/repos/huggingface/transformers/issues/8120/events | https://github.com/huggingface/transformers/pull/8120 | 731,522,856 | MDExOlB1bGxSZXF1ZXN0NTExNjEzNzE2 | 8,120 | Rename add_start_docstrings_to_callable | {
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This PR rename all `add_start_docstrings_to_callable` to a more explicit `add_start_docstrings_to_model_forward`. This should avoid confusion on the use of this decorator.
(It's an internal function so there should be no breaking change.) | {
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https://api.github.com/repos/huggingface/transformers/issues/8119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8119/comments | https://api.github.com/repos/huggingface/transformers/issues/8119/events | https://github.com/huggingface/transformers/pull/8119 | 731,509,572 | MDExOlB1bGxSZXF1ZXN0NTExNjAyNzA0 | 8,119 | feat(wandb): save model as artifact | {
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"Ok I submitted #8121 for the typo in `_new_step`.\r\n\r\nAs for this PR, I'm thinking the logic should be:\r\n* use folder referenced by the last item returned from `_sorted_checkpoints`\r\n* in case it's empty, we should probably save the current checkpoint locally and upload it (since we specifically requested a... | 1,603 | 1,609 | 1,609 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8118 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8118/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8118/comments | https://api.github.com/repos/huggingface/transformers/issues/8118/events | https://github.com/huggingface/transformers/pull/8118 | 731,506,831 | MDExOlB1bGxSZXF1ZXN0NTExNjAwMzk2 | 8,118 | Document the various LM Auto models | {
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This PR adds the documentation for the three classes of mdoels for LM (`AutoModelForCausalLM`, `AutoModelForMaskedLM` and `AutoModelForSeq2SeqLM`) and their TF equivalent. It also removes the documentation of `AutoModelWithLMHead` which is deprecated. | {
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https://api.github.com/repos/huggingface/transformers/issues/8117 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8117/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8117/comments | https://api.github.com/repos/huggingface/transformers/issues/8117/events | https://github.com/huggingface/transformers/issues/8117 | 731,374,003 | MDU6SXNzdWU3MzEzNzQwMDM= | 8,117 | fast tokenizer issue on most user uploaded models | {
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"Yes, we need to remove all the hardcoded configuration values of tokenizers in the transformers source code, and upload `tokenizer_config.json` files for all those models.\r\n\r\nAlso cc @n1t0 ",
"Very strange, making some tests, the Rust implem is much slower than the Python one...\r\n\r\nMeasure done on my Mac... | 1,603 | 1,687 | 1,610 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.4.0
- Platform: Linux-5.8.0-25-generic-x86_64-with-glibc2.32
- Python version: 3.8.6
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: yes
### W... | {
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https://api.github.com/repos/huggingface/transformers/issues/8116 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8116/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8116/comments | https://api.github.com/repos/huggingface/transformers/issues/8116/events | https://github.com/huggingface/transformers/pull/8116 | 731,335,263 | MDExOlB1bGxSZXF1ZXN0NTExNDU4MjUy | 8,116 | Add labels padding in tokenization_utils_base.py | {
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"Hi there! Thanks for your PR! I see a few problems with this approach.\r\n1. Not all labels need to be padded. If you are doing classification (with one or multiple labels) you don't want to pad them\r\n2. I imagine you are in a token classification problem, and in those, the number of labels is not necessarily th... | 1,603 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
This PR makes `tokenizer.pad()` also pad `'labels'`.
I tried to use this:
https://github.com/huggingface/transformers/blob/8065fea87007fbf7542fc060ff8ddd0b5df567da/src/transformers/data/data_collator.py#L69
But since labels is not padded, the result cannot turn into a tensor. `ValueEr... | {
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https://api.github.com/repos/huggingface/transformers/issues/8115 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8115/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8115/comments | https://api.github.com/repos/huggingface/transformers/issues/8115/events | https://github.com/huggingface/transformers/pull/8115 | 731,303,456 | MDExOlB1bGxSZXF1ZXN0NTExNDMxNTA0 | 8,115 | Fix eval ref miss in Chinese WWM. | {
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"Before we merge you'll need to run `make fixup` or `make style` at the root of your transformers clone to pass the code quality test.",
"I had not realized that LTP has pinned master to 3.2.0. We can't have a script in examples that doesn't run on master, so I suggest copying the current version and moving it in... | 1,603 | 1,604 | 1,604 | CONTRIBUTOR | null | Sorry for my reckless: I didn't add param for `eval_ref_file` when Chinese WWM.
It was found by @johnsonice in [here](https://github.com/huggingface/transformers/pull/7925#issuecomment-717701325).
So I fix it and update readme for Chinese WWM. | {
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https://api.github.com/repos/huggingface/transformers/issues/8114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8114/comments | https://api.github.com/repos/huggingface/transformers/issues/8114/events | https://github.com/huggingface/transformers/issues/8114 | 731,261,853 | MDU6SXNzdWU3MzEyNjE4NTM= | 8,114 | Pegasus: Error when training with increased input length | {
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"(This issue has nothing to do with pegasus or input dimension).\r\n\r\n+ `max_length` should not be set like that, it refers to the maximum length to generate.\r\n+ You probably don't want to initialize from random. \r\ne+ You should be using Seq2SeqTrainer, and this script https://github.com/huggingface/transform... | 1,603 | 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: 3.4.0
- Platform: MacOS Mojave (10.14.6)
- Python version: 3.7.9
- PyTorch version (GPU?): 1.6.0 (True)... | {
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https://api.github.com/repos/huggingface/transformers/issues/8113 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8113/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8113/comments | https://api.github.com/repos/huggingface/transformers/issues/8113/events | https://github.com/huggingface/transformers/pull/8113 | 731,227,866 | MDExOlB1bGxSZXF1ZXN0NTExMzc1MDMw | 8,113 | [WIP] Add Tapas model | {
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"I think you might need a rebase on the latest master as your PR seems to have taken master from a while ago (all the modifications in the README should not be there for instance). If it messes the diff, we can always close this PR and open a new one, the branch will be safe :-)",
"EDIT: I've always used `git fet... | 1,603 | 1,608 | 1,608 | CONTRIBUTOR | null | # What does this PR do?
Since the beginning of August, I'm working in my free time on incorporating the [Tapas](https://arxiv.org/abs/2004.02349) algorithm by Google AI in the Transformers library (because this library is awesome and I want to contribute to it!). Tapas is basically a BERT model with some clever modi... | {
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https://api.github.com/repos/huggingface/transformers/issues/8112 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8112/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8112/comments | https://api.github.com/repos/huggingface/transformers/issues/8112/events | https://github.com/huggingface/transformers/issues/8112 | 731,137,271 | MDU6SXNzdWU3MzExMzcyNzE= | 8,112 | Documentation code snippet has extra ) after model code | {
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"Hello, this has been fixed on: https://github.com/huggingface/transformers/pull/8082 and is now available in the `master` documentation and will be updated in the next version. Thanks for opening an issue!"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | Documentation at https://huggingface.co/transformers/model_doc/roberta.html#tfrobertaforsequenceclassification has code snippet
```
>> from transformers import RobertaTokenizer, TFRobertaForSequenceClassification
>> import tensorflow as tf
>> tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
>> model ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8111 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8111/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8111/comments | https://api.github.com/repos/huggingface/transformers/issues/8111/events | https://github.com/huggingface/transformers/issues/8111 | 731,123,700 | MDU6SXNzdWU3MzExMjM3MDA= | 8,111 | [Model] mT5 Cross-Lingual Model | {
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"Will be a part of #6285",
"Hey, @sumanthd17 any update on this? ",
"@julien-c thanks for your amazing nlp lib. \r\nWhen do you plan to support mT5 ?\r\nWhen #6285 will be release ?\r\nCheers\r\nPhilippe ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be c... | 1,603 | 1,610 | 1,610 | NONE | null | # 🌟 New model addition
## Model description
<!-- Important information -->
Multilingual T5 (mT5) is a massively multilingual pretrained text-to-text transformer model, trained following a similar recipe as T5.
Weights, code are available.
Github Repo: [mT5 Weights and Code](https://github.com/google-res... | {
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https://api.github.com/repos/huggingface/transformers/issues/8110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8110/comments | https://api.github.com/repos/huggingface/transformers/issues/8110/events | https://github.com/huggingface/transformers/pull/8110 | 731,118,231 | MDExOlB1bGxSZXF1ZXN0NTExMjkzMjIw | 8,110 | [gh actions] run artifacts job always | {
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"Please check if it worked :)",
"Hmm, I guess it'd be have been more practical to experiment with the push job and not scheduled - but ok, let's wait - if it's not working, I will attack it on all fronts.",
"One more thing: \r\n\r\n[run_all_tests_torch_and_tf_gpu](https://github.com/stas00/transformers/blob/e24... | 1,603 | 1,604 | 1,603 | CONTRIBUTOR | null | I see that the recently added artifacts job won't run if the test job failed, which defeats the purpose. ([example](https://github.com/huggingface/transformers/runs/1317972448?check_suite_focus=true))
After some research it appears that adding `if: always()` may do the trick. Supposedly such a job should always be r... | {
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https://api.github.com/repos/huggingface/transformers/issues/8109 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8109/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8109/comments | https://api.github.com/repos/huggingface/transformers/issues/8109/events | https://github.com/huggingface/transformers/issues/8109 | 731,080,247 | MDU6SXNzdWU3MzEwODAyNDc= | 8,109 | T5Tokenizer: decode does not show special tokens | {
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"T5: @patrickvonplaten I think you need to set `_additional_special_tokens`.",
"@jsrozner want to try to fix?",
"This is a duplicate of #5142 and will be fixed with the PR linked below. Thanks for reporting it - seems like multiple people were running into this issue!!!"
] | 1,603 | 1,605 | 1,605 | 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: 3.4.0
- Platform: macOS-10.15.7-x86_64-i386-64bit
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7... | {
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https://api.github.com/repos/huggingface/transformers/issues/8108 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8108/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8108/comments | https://api.github.com/repos/huggingface/transformers/issues/8108/events | https://github.com/huggingface/transformers/pull/8108 | 730,901,553 | MDExOlB1bGxSZXF1ZXN0NTExMTM2NjU0 | 8,108 | Support various BERT relative position embeddings | {
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"Hey @zhiheng-huang,\r\n\r\nThanks for the PR!\r\n\r\nIn general I'm fine with this PR - think adding more types of position embeddings to a model is OK. \r\nAlso can you rebase your PR to the most current version of `master` - I think you are working on a rather old version.\r\n\r\n",
"> Hey @zhiheng-huang,\r\n>... | 1,603 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
The default BERT model `bert-base-uncased` was pre-trained with absolute position embeddings. We provide three pre-trained models which were pre-trained on the same training data (BooksCorpus and English Wikipedia) as in the BERT model training, but with different relative position embeddings... | {
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https://api.github.com/repos/huggingface/transformers/issues/8107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8107/comments | https://api.github.com/repos/huggingface/transformers/issues/8107/events | https://github.com/huggingface/transformers/pull/8107 | 730,869,661 | MDExOlB1bGxSZXF1ZXN0NTExMTA4MDQz | 8,107 | [testing] port test_trainer_distributed to distributed pytest + TestCasePlus enhancements | {
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"LGTM! cc @patrickvonplaten for awareness!"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | This PR:
* [x] ports `test_trainer_distributed` to run with pytest - it will skip if gpus < 2.
* [x] includes various improvements via refactoring now 3 use cases of distributed testing by extending `TestCasePlus` with a whole set of convenient features:
Feature 1: A set of fully resolved important file and di... | {
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https://api.github.com/repos/huggingface/transformers/issues/8106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8106/comments | https://api.github.com/repos/huggingface/transformers/issues/8106/events | https://github.com/huggingface/transformers/pull/8106 | 730,848,281 | MDExOlB1bGxSZXF1ZXN0NTExMDg4ODQ4 | 8,106 | Move installation instructions to the top | {
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This PR clarifies the instructions to run the examples by moving the source install to the top and putting it in bold. | {
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https://api.github.com/repos/huggingface/transformers/issues/8105 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8105/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8105/comments | https://api.github.com/repos/huggingface/transformers/issues/8105/events | https://github.com/huggingface/transformers/pull/8105 | 730,833,520 | MDExOlB1bGxSZXF1ZXN0NTExMDc1NzUy | 8,105 | New run_clm script | {
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This PR adds an example of a causal language modeling fine-tuning (or training from scratch) using the 🤗 Datasets library. It supports loading a dataset via its name (from the hub) or local files. A test of training on a small text is added.
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https://api.github.com/repos/huggingface/transformers/issues/8104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8104/comments | https://api.github.com/repos/huggingface/transformers/issues/8104/events | https://github.com/huggingface/transformers/issues/8104 | 730,821,702 | MDU6SXNzdWU3MzA4MjE3MDI= | 8,104 | RagSequenceForGeneration how to get document texts retrieved in response to a query | {
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"retriever.index.get_doc_dicts(docs_dict[\"doc_ids\"])[0]['text'] gets me the text of the retrieved documents."
] | 1,603 | 1,605 | 1,603 | NONE | null | When I run the retriever separately, how can I find out the text of the documents (from the doc_ids ?) that are retrieved ?
I created the retriever using:
retriever = RagRetriever.from_pretrained(rag_example_args.rag_model_name,index_name="custom",passages_path=passages_path,index_path=index_path,n_docs=8)
tokeniz... | {
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https://api.github.com/repos/huggingface/transformers/issues/8103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8103/comments | https://api.github.com/repos/huggingface/transformers/issues/8103/events | https://github.com/huggingface/transformers/issues/8103 | 730,783,615 | MDU6SXNzdWU3MzA3ODM2MTU= | 8,103 | run_language_modeling crashes with import cannot import name 'DataCollatorForWholeWordMask' from 'transformers' | {
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"As explained in the README of the examples, you need an [installation from source](https://huggingface.co/transformers/installation.html#installing-from-source) to run the examples, which you don't have, otherwise you would have this object.\r\n\r\nAlternatively, you can run the examples associated to your current... | 1,603 | 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: 3.4.0
- Platform: linux
- Python version: 3.8
- PyTorch version (GPU?): 1.5
- Tensorflow version (GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/8102 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8102/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8102/comments | https://api.github.com/repos/huggingface/transformers/issues/8102/events | https://github.com/huggingface/transformers/pull/8102 | 730,713,306 | MDExOlB1bGxSZXF1ZXN0NTEwOTcyNjAw | 8,102 | Adjust setup so that all extras run on Windows | {
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This removes some of the extra deps if they don't exist on Windows, so that the install doesn't fail.
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https://api.github.com/repos/huggingface/transformers/issues/8101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8101/comments | https://api.github.com/repos/huggingface/transformers/issues/8101/events | https://github.com/huggingface/transformers/issues/8101 | 730,647,198 | MDU6SXNzdWU3MzA2NDcxOTg= | 8,101 | should be BartConfig.prefix None? | {
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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"
] | 1,603 | 1,610 | 1,610 | CONTRIBUTOR | null | For bart-large-xsum/bart-large-cnn, currently set to `' '`
+ does not help evaluation performance vs setting to `None` (checked xsum and CNN)
+ It could help fine-tuning performance by serving as a work-around for the `add_prefix_space` issue?
Putting here in case others have thoughts.
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https://api.github.com/repos/huggingface/transformers/issues/8100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8100/comments | https://api.github.com/repos/huggingface/transformers/issues/8100/events | https://github.com/huggingface/transformers/issues/8100 | 730,625,549 | MDU6SXNzdWU3MzA2MjU1NDk= | 8,100 | Rename swish to silu to give appropriate credit | {
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"It is worth mentioning that PyTorch's SiLU op is an optimized implementation: https://github.com/pytorch/pytorch/pull/42976",
"You are correct, we should update and deprecate. Do you want to take a stab at a PR?"
] | 1,603 | 1,604 | 1,604 | CONTRIBUTOR | null | The swish was originally coined the "SiLU" in https://arxiv.org/pdf/1606.08415.pdf and https://arxiv.org/abs/1702.03118 long before the swish paper. Renaming other peoples' exact same ideas is unacceptable and huggingface's naming convention implicitly erases the research and work of people outside of Google.
This req... | {
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"This would be cool! I don't believe it's on our roadmap currently (cc @patrickvonplaten), but should be part of a general TF overhaul we'll be doing in the coming months.\r\n\r\nNo date for that yet, but I think you can expect it in the future.",
"Could be a \"Good First Issue\" :D Yeah, I think this is not real... | 1,603 | 1,610 | 1,610 | CONTRIBUTOR | null | # 🚀 Feature request
Since there is an implementation of the Reformer in Pytorch, my question is if there will be an implementation for Tensorflow too?
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"I'm experiencing the same issue. Setting `vocab_size=tokenizer.vocab_size` does not help.\r\n\r\nI've noticed if I artificially inflate the vocab_size (i.e. `vocab_size=tokenizer.vocab_size+1`), the negative dimension in the error will also be greater by 1 (ie `-199743` instead of `-199744`.",
"Hey! From your de... | 1,603 | 1,603 | 1,603 | NONE | null | ## Environment info
- `transformers` version: 3.4.0
- Platform: Linux-3.10.0-957.el7.x86_64-x86_64-with-debian-stretch-sid
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: N... | {
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Not ready for merge as the default should be changed back to not using this.
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Fix #8087
Bring back support for `IterableDataset` with `__len__` in Trainer. Changed in #7858
@sgugger | {
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"You are correct! Do you want to open a PR fixing the docs?",
"Sure, I'll do that. Closing this issue for now, I'll refer to this in the PR.",
"There is one more thing, sorry I didn't realize this earlier, and please let me know if I am wrong, The [span_to_answer](https://huggingface.co/transformers/main_classe... | 1,603 | 1,610 | 1,610 | NONE | null | Hi,
The [QuestionAnsweringPipeline](https://huggingface.co/transformers/main_classes/pipelines.html?highlight=pipelines#transformers.QuestionAnsweringPipeline.__call__) is returning the start and end position of the context string and not according to "the tokenized version of the input." as mentioned in the doc.
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https://api.github.com/repos/huggingface/transformers/issues/8093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8093/comments | https://api.github.com/repos/huggingface/transformers/issues/8093/events | https://github.com/huggingface/transformers/pull/8093 | 730,410,577 | MDExOlB1bGxSZXF1ZXN0NTEwNzE5Nzg1 | 8,093 | Fully remove codecov | {
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"If we try to go back to using it, perhaps there is a way to merge reports from 2 half-full tests - otherwise it creates an unnecessary slowdown on CI to run both together if we don't need to."
] | 1,603 | 1,603 | 1,603 | MEMBER | null | Fully removes codecov as we don't have any full test suite in circleci, alongside https://github.com/huggingface/transformers/commit/829b9f8cc321aa28396e6203e0f21eed26b132f7
If we want to put it back up, we can merge the two slow tests (TF + PT) and run coverage on that, but we should first take care of the inconsis... | {
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https://api.github.com/repos/huggingface/transformers/issues/8087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8087/comments | https://api.github.com/repos/huggingface/transformers/issues/8087/events | https://github.com/huggingface/transformers/issues/8087 | 730,331,132 | MDU6SXNzdWU3MzAzMzExMzI= | 8,087 | #7858 breaks IterableDataset with __len__ in Trainer | {
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"I'm sorry, but you could explain to me why an `IterableDataset` with a `__len__` is not a regular `Dataset`?",
"In my case, I wrap a `Dataset` using a class that inherits `IterableDataset`, and defines a `__len__()`.\r\nThe purpose is to implement smart batching[1]. I use `IterableDataset` so I can control how t... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/08f534d2da47875a4b7eb1c125cfa7f0f3b79642/src/transformers/trainer.py#L381-L382
This used to be (before #7858)
```python
if isinstance(self.train_dataset, torch.utils.data.IterableDataset):
```
I am using IterableDataset with __len__ in Trainer. This change makes... | {
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https://api.github.com/repos/huggingface/transformers/issues/8086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8086/comments | https://api.github.com/repos/huggingface/transformers/issues/8086/events | https://github.com/huggingface/transformers/issues/8086 | 730,307,848 | MDU6SXNzdWU3MzAzMDc4NDg= | 8,086 | Hello world example fail with transformers-3.4 | {
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"We will probably need at least the full error trace",
"```\r\nCalling BertTokenizer.from_pretrained() with the path to a single file or url is deprecated\r\nSpecial tokens have been added in the vocabulary, make sure the associated word embedding are fine-tuned or trained.\r\nTraceback (most recent call last):\r... | 1,603 | 1,604 | 1,603 | CONTRIBUTOR | null | ## Environment info
- `transformers` version:3.4
- Platform: Mac
- Python version: 3.6
- PyTorch version (GPU?):
- Tensorflow version (GPU?): 2.3
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
### Who can help
albert, bert, GPT2, XLM: @LysandreJik
tokenizers: @mfunt... | {
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https://api.github.com/repos/huggingface/transformers/issues/8085 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8085/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8085/comments | https://api.github.com/repos/huggingface/transformers/issues/8085/events | https://github.com/huggingface/transformers/pull/8085 | 730,240,957 | MDExOlB1bGxSZXF1ZXN0NTEwNTc4MjUw | 8,085 | Merge pull request #1 from huggingface/master | {
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"Closing as I believe this is an error :)"
] | 1,603 | 1,603 | 1,603 | NONE | null | Version track
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8084 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8084/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8084/comments | https://api.github.com/repos/huggingface/transformers/issues/8084/events | https://github.com/huggingface/transformers/pull/8084 | 730,158,073 | MDExOlB1bGxSZXF1ZXN0NTEwNTEwNTg1 | 8,084 | Fix tf export path type in notebooks/04-onnx-export.ipynb | {
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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."
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https://api.github.com/repos/huggingface/transformers/issues/8083 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8083/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8083/comments | https://api.github.com/repos/huggingface/transformers/issues/8083/events | https://github.com/huggingface/transformers/issues/8083 | 730,104,512 | MDU6SXNzdWU3MzAxMDQ1MTI= | 8,083 | FastFormers into transformers | {
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"Hi! This is great, thanks for offering to contribute it! From what I understand, `FastFormers` contains several scripts that can be applied to `transformers` models out of the box, that is, training, distillation, pruning, using quantization alongside the onnx runtime and fp16 optimizations. \r\n\r\nIs that correc... | 1,603 | 1,632 | 1,632 | NONE | null | # 🌟 New model addition
## Model description
We just open-sourced [FastFormers](https://arxiv.org/abs/2010.13382) which are our SustaiNLP 2020 systems (FastFormers: Highly Efficient Transformer Models for Natural Language Understanding [paper](https://arxiv.org/abs/2010.13382)).
Currently, we are hosting this ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8082 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8082/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8082/comments | https://api.github.com/repos/huggingface/transformers/issues/8082/events | https://github.com/huggingface/transformers/pull/8082 | 730,067,312 | MDExOlB1bGxSZXF1ZXN0NTEwNDM3NDM3 | 8,082 | Fix doc examples | {
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documentation: @sgugger
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https://api.github.com/repos/huggingface/transformers/issues/8081 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8081/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8081/comments | https://api.github.com/repos/huggingface/transformers/issues/8081/events | https://github.com/huggingface/transformers/pull/8081 | 730,061,894 | MDExOlB1bGxSZXF1ZXN0NTEwNDMzMTIw | 8,081 | Move style_doc to extra_quality_checks | {
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"Ideally there should be a modified_py_and_rst_files to speed up this check (and only apply it to modified files), but this works in the meantime. @stas00 if you want to do that last bit of optimization, let me know, otherwise I'll do that later.",
"Go for it, @sgugger. The modified files var is there, so it shou... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | Previously, if you have a doc style error in a .rst file,
```bash
python utils/style_doc.py $(modified_py_files) --max_len 119;
```
wouldn't catch it | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/8079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8079/comments | https://api.github.com/repos/huggingface/transformers/issues/8079/events | https://github.com/huggingface/transformers/issues/8079 | 730,059,064 | MDU6SXNzdWU3MzAwNTkwNjQ= | 8,079 | Best practice to use this great repo for industry application. | {
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"download all the source code"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # ❓ Questions & Help
To download all the source code and put them into pycharm or To use pip-install and use the API code?
## Details
I want to pretrain and fine-tune the models here on our own dataset. | {
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https://api.github.com/repos/huggingface/transformers/issues/8078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8078/comments | https://api.github.com/repos/huggingface/transformers/issues/8078/events | https://github.com/huggingface/transformers/issues/8078 | 730,057,519 | MDU6SXNzdWU3MzAwNTc1MTk= | 8,078 | Hope more GPT Chinese pretrained model. | {
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"Have you checked out the filtered list on the model hub? https://huggingface.co/models?filter=zh ",
"Thank you!"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # 🚀 Feature request
Hope more GPT Chinese pretrained model.
Thank you very much. | {
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https://api.github.com/repos/huggingface/transformers/issues/8077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8077/comments | https://api.github.com/repos/huggingface/transformers/issues/8077/events | https://github.com/huggingface/transformers/issues/8077 | 730,046,790 | MDU6SXNzdWU3MzAwNDY3OTA= | 8,077 | Longformer crashes for position embeddings indexing? | {
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"Hi, have you tried running this code without using CUDA (i.e., on CPU)? The errors are usually more intelligible that way.\r\n\r\nCould this be due to an OOM error and cuda not recovering from it?",
"> Hi, have you tried running this code without using CUDA (i.e., on CPU)? The errors are usually more intelligibl... | 1,603 | 1,610 | 1,610 | 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: 3.4.0
- Platform: Linux-3.10.0-1127.19.1.el7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyT... | {
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https://api.github.com/repos/huggingface/transformers/issues/8076 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8076/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8076/comments | https://api.github.com/repos/huggingface/transformers/issues/8076/events | https://github.com/huggingface/transformers/pull/8076 | 730,038,668 | MDExOlB1bGxSZXF1ZXN0NTEwNDE0Nzg1 | 8,076 | [setup] update/add setup targets | {
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"Guys, since this is not code but a bunch of definitions please make direct suggestions that can be merged. Thank you. \r\n\r\nI originally just wanted to add `docs` and `flax` to `dev` and had no idea about all the other needs.",
"I can't make a suggestion that moves stuff around in the file. I can push a commi... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | updating pip targets
* [x] adds `tokenizer`
* [x] adds `docs` to `dev`, since we need to have the tools to run `make docs`
* [x] adds `flax` to `dev`, since we need to have the libs to run flax tests - except when on windows - it skips it then
* [x] brings `all` up-to-date
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/8075 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8075/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8075/comments | https://api.github.com/repos/huggingface/transformers/issues/8075/events | https://github.com/huggingface/transformers/pull/8075 | 730,033,917 | MDExOlB1bGxSZXF1ZXN0NTEwNDExMDAw | 8,075 | Create README.md | {
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"README.md file added for gurkan08/bert-turkish-text-classification model"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8074 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8074/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8074/comments | https://api.github.com/repos/huggingface/transformers/issues/8074/events | https://github.com/huggingface/transformers/pull/8074 | 729,999,858 | MDExOlB1bGxSZXF1ZXN0NTEwMzgzNzA4 | 8,074 | Doc styling fixes | {
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This PR fixes a few of the docstrings left in a bad state by #8067 and a small bug in the styling script (it was matching lines of the form `.. note::` or `.. warning::` to kind of examples inside docstrings.
With this, everything should now be fine. | {
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https://api.github.com/repos/huggingface/transformers/issues/8073 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8073/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8073/comments | https://api.github.com/repos/huggingface/transformers/issues/8073/events | https://github.com/huggingface/transformers/pull/8073 | 729,956,665 | MDExOlB1bGxSZXF1ZXN0NTEwMzQ3NjYz | 8,073 | [breaking|pipelines|tokenizers] Adding slow-fast tokenizers equivalence tests pipelines - Removing sentencepiece as a required dependency | {
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"On hold for now until we update the input/output of the alignement methods in `tokenizers` to handle pairs of input sentences following internal discussion with @n1t0 and @Narsil.",
"Remaining error on the CI (NER pipeline not working for slow tokenizers) should be solved by #8364 \r\n\r\nEdit: ok solved now th... | 1,603 | 1,611 | 1,605 | MEMBER | null | # What does this PR do?
**Breaking**: Auto-tokenizers and pipelines:
- switch to `use_fast=True` by default (Fast tokenizers by default)
=> The main expected breaking change is **the handling of overflowing tokens** which is different between slow and fast tokenizers.
- removing sentencepiece from the required de... | {
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https://api.github.com/repos/huggingface/transformers/issues/8072 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8072/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8072/comments | https://api.github.com/repos/huggingface/transformers/issues/8072/events | https://github.com/huggingface/transformers/issues/8072 | 729,955,048 | MDU6SXNzdWU3Mjk5NTUwNDg= | 8,072 | `BartForConditionalGeneration.from_pretrained` suddenly fails | {
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"I am pretty sure my guess at what happened was correct.\r\n\r\nOn one of my machines, I have the bart-large/config.json from October 12 with etag \"40bd49bcec9d93d8b0bfbd020088e2e1b6e6bb03e8e80aa5144638f90ca6bd61\" and it is 1.26kb. It contains an entry `\"output_past\": false`. Today, there is a file with a new e... | 1,603 | 1,603 | 1,603 | NONE | null | I have been using the same `BartForConditionalGeneration` model and `transformers==3.0.2` for weeks, but today the same code threw a new error that has never happened before. It says I am passing an unexpected `output_past` parameter to `from_pretrained`. I am loading the `facebook/bart-large` model.
The line throwi... | {
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https://api.github.com/repos/huggingface/transformers/issues/8071 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8071/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8071/comments | https://api.github.com/repos/huggingface/transformers/issues/8071/events | https://github.com/huggingface/transformers/pull/8071 | 729,894,957 | MDExOlB1bGxSZXF1ZXN0NTEwMjk4NjI3 | 8,071 | [All Seq2Seq model + CLM models that can be used with EncoderDecoder] Add cross-attention weights to outputs | {
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"Hey @ysgit - I like the idea! However, I think we should actually create a new output tuple for the cross-attention (called `cross_attention` when `return_dict`=True). For this we will have to create new ModelOutputs for Bert, RoBERTa, etc...\r\n",
"@patrickvonplaten that makes sense, I guess I suspected that mi... | 1,603 | 1,604 | 1,604 | CONTRIBUTOR | null | # What does this PR do?
This PR causes models that support cross-attention to output the cross-attention tensors as well as the self-attention tensors when output_attentions is set
(from @patrickvonplaten)
This PR adds cross-attention outptus to all Seq2Seq models and to CLM models compatible with the `EncoderDe... | {
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https://api.github.com/repos/huggingface/transformers/issues/8070 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8070/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8070/comments | https://api.github.com/repos/huggingface/transformers/issues/8070/events | https://github.com/huggingface/transformers/issues/8070 | 729,887,717 | MDU6SXNzdWU3Mjk4ODc3MTc= | 8,070 | Pretraining for encoder of TF T5 model | {
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"@dharakotecha, you would need to create a MaskedLM head similar to distilbert. You would also need to either use one of the masekd token <extra_id_0> or add a new token for mask. \r\n\r\nSome experimentation on the t5 encoder shows that it does produce pretty reasonable output, but does not do MLM at the encoder s... | 1,603 | 1,614 | 1,614 | NONE | null | Hi, for sequence to sequence task in tensorflow, I see that I can use TFT5 model. However, before sequence to sequence training, I need to perform masked language model pretraining on the encoder and initialise the weights of the encoder and decoder with the same weights that I obtain by masked language model pretraini... | {
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https://api.github.com/repos/huggingface/transformers/issues/8069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8069/comments | https://api.github.com/repos/huggingface/transformers/issues/8069/events | https://github.com/huggingface/transformers/pull/8069 | 729,881,879 | MDExOlB1bGxSZXF1ZXN0NTEwMjg3OTg5 | 8,069 | DEP: pinned sentencepiece to 0.1.91 in setup.py to fix build issues with newer versions | {
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"I can check the other 3 boxes if needed. They didn't seem to apply to this particular PR so I left them unchecked.\r\n"
] | 1,603 | 1,604 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
Pins `sentencepiece` to `0.1.91` to resolve build issues with newer versions
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https://api.github.com/repos/huggingface/transformers/issues/8068 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8068/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8068/comments | https://api.github.com/repos/huggingface/transformers/issues/8068/events | https://github.com/huggingface/transformers/issues/8068 | 729,871,812 | MDU6SXNzdWU3Mjk4NzE4MTI= | 8,068 | seq2seq/finetune.py: remove useless check | {
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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"
] | 1,603 | 1,609 | 1,609 | CONTRIBUTOR | null | Removed on built-in already
```python
self.dataset_class = (
Seq2SeqDataset if hasattr(self.tokenizer, "prepare_seq2seq_batch") else LegacySeq2SeqDataset
)
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/8067 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8067/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8067/comments | https://api.github.com/repos/huggingface/transformers/issues/8067/events | https://github.com/huggingface/transformers/pull/8067 | 729,846,425 | MDExOlB1bGxSZXF1ZXN0NTEwMjU5MDYw | 8,067 | Doc styling | {
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"A few loose-ends to tie, but that will be for tomorrow!"
] | 1,603 | 1,603 | 1,603 | COLLABORATOR | null | # What does this PR do?
This PR introduces a doc styling script and applies it to the repo. The styling script runs similarly to black, with a an option that fixes and overwrites the files (put inside `make style`) and an option that only checks if there should be a restyle, failing with an error if that's the case ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8066 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8066/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8066/comments | https://api.github.com/repos/huggingface/transformers/issues/8066/events | https://github.com/huggingface/transformers/issues/8066 | 729,822,186 | MDU6SXNzdWU3Mjk4MjIxODY= | 8,066 | Missing Import | {
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"Remember that the examples you pull from master need a [source install](https://huggingface.co/transformers/installation.html#installing-from-source). If you want the version that runs with the last release, you need to use that tag, here are the [examples for the last release](https://github.com/huggingface/trans... | 1,603 | 1,603 | 1,603 | NONE | null | When trying to run this file:
https://github.com/huggingface/transformers/blob/3a10764574f252591eeaa5bbb10b778f623a4814/examples/language-modeling/run_language_modeling.py#L40
The following error occurs:
````
Traceback (most recent call last):
File "run_language_modeling.py", line 32, in <module>
from t... | {
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https://api.github.com/repos/huggingface/transformers/issues/8065 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8065/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8065/comments | https://api.github.com/repos/huggingface/transformers/issues/8065/events | https://github.com/huggingface/transformers/issues/8065 | 729,818,427 | MDU6SXNzdWU3Mjk4MTg0Mjc= | 8,065 | load 'microsoft/unilm-base-cased' failed | {
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"Hello\r\nSame problem for us.\r\nDo you plan to investigate / fix it ?\r\nCheers\r\nPhilippe",
"The UniLM model has not been released in the library yet.",
"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 y... | 1,603 | 1,614 | 1,610 | 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/8064 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8064/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8064/comments | https://api.github.com/repos/huggingface/transformers/issues/8064/events | https://github.com/huggingface/transformers/pull/8064 | 729,818,409 | MDExOlB1bGxSZXF1ZXN0NTEwMjM2MDUw | 8,064 | [QOL] PretrainedConfig.to_diff_dict(other_config) | {
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"Didn't work. Will re-open when I have something better."
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | This PR allows users to compare two configs in a backwards compatible way.
### Solution
The following calls work:
```python
bart_large_config = BartConfig.from_pretrained('facebook/bart-large')
bart_base_config = BartConfig.from_pretrained('facebook/bart-base')
t5_config = T5Config.from_pretrained('t5-small')
b... | {
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https://api.github.com/repos/huggingface/transformers/issues/8063 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8063/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8063/comments | https://api.github.com/repos/huggingface/transformers/issues/8063/events | https://github.com/huggingface/transformers/pull/8063 | 729,812,026 | MDExOlB1bGxSZXF1ZXN0NTEwMjMwODI3 | 8,063 | Fix TF training arguments instantiation | {
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https://api.github.com/repos/huggingface/transformers/issues/8062 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8062/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8062/comments | https://api.github.com/repos/huggingface/transformers/issues/8062/events | https://github.com/huggingface/transformers/pull/8062 | 729,809,630 | MDExOlB1bGxSZXF1ZXN0NTEwMjI4ODgz | 8,062 | Add AzureML in integrations via dedicated callback | {
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"Code changes pass tests @sgugger ! Thanks @alvarobartt for having a look at those also.\r\n\r\nI guess I need to take care of docs/source/main_classes/callback.rst as well to complete the checklist though?",
"Yes, if you could add a line to the rst file, that would be great!",
"You might need to rebase to hav... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
I propose this PR to allow transformers to call AzureML logging using https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run(class)?view=azure-ml-py
The intended behaviour is to enable `transformers` users to track metrics in the AzureML UI in this fashion
![image](ht... | {
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https://api.github.com/repos/huggingface/transformers/issues/8061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8061/comments | https://api.github.com/repos/huggingface/transformers/issues/8061/events | https://github.com/huggingface/transformers/pull/8061 | 729,797,847 | MDExOlB1bGxSZXF1ZXN0NTEwMjE5MjY3 | 8,061 | Doc fixes in preparation for the docstyle PR | {
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This PR fixes a few docstrings and adds the `# docstyle-ignore` marker where necessary in preparation for the big docstyle PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/8060 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8060/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8060/comments | https://api.github.com/repos/huggingface/transformers/issues/8060/events | https://github.com/huggingface/transformers/issues/8060 | 729,762,554 | MDU6SXNzdWU3Mjk3NjI1NTQ= | 8,060 | a multitude of deprecations for pytorch-1.7+ | {
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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."
] | 1,603 | 1,614 | 1,614 | CONTRIBUTOR | null | This is not urgent. There is a ton of deprecation warnings across many modules with pytorch-1.7+ and a few with python-3.8:
(I hard-wrapped the lines to avoid the need to scroll, but it makes somewhat harder to see the warnings):
```
src/transformers/modeling_deberta.py:18 src/transformers/modeling_deberta.py:18
sr... | {
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https://api.github.com/repos/huggingface/transformers/issues/8059 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8059/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8059/comments | https://api.github.com/repos/huggingface/transformers/issues/8059/events | https://github.com/huggingface/transformers/pull/8059 | 729,759,657 | MDExOlB1bGxSZXF1ZXN0NTEwMTg4NjE0 | 8,059 | infer entailment label id on zero shot pipeline | {
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"Wouldn't it be better to:\r\n- ask the model authors for the relevant models to update their config.json to include a `id2label`\r\n- and/or to modify them automatically for them on the hub?\r\n\r\nI feel this PR is adding a feature that works around an issue when we should be fixing the root issue (also fixes the... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
Adds an optional argument to the zero shot pipeline constructor to specify the label id of the NLI model that corresponds to "entailment", which it needs to calculate each candidate label's score. Most models in the hub use the last last label id, but some differ (e.g. the recent [ynie/robert... | {
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https://api.github.com/repos/huggingface/transformers/issues/8058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8058/comments | https://api.github.com/repos/huggingface/transformers/issues/8058/events | https://github.com/huggingface/transformers/issues/8058 | 729,755,781 | MDU6SXNzdWU3Mjk3NTU3ODE= | 8,058 | [testing] port test_trainer_distributed to run with pytest | {
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"Ooops, closed it by mistake too early. But it has been resolved here:\r\nhttps://github.com/huggingface/transformers/pull/8107"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | Extracting the request from https://github.com/huggingface/transformers/pull/7993#issuecomment-716508513 to this issue to make it easier to track.
Now that we have a framework to run distributed under `pytest` `test_trainer_distributed` needs to be ported there.
I will work on that.
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https://api.github.com/repos/huggingface/transformers/issues/8057 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8057/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8057/comments | https://api.github.com/repos/huggingface/transformers/issues/8057/events | https://github.com/huggingface/transformers/pull/8057 | 729,736,172 | MDExOlB1bGxSZXF1ZXN0NTEwMTY5NjM1 | 8,057 | [testing] fixing crash in deberta | {
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"p.s. apparently there has been a deprecation warning with pytorch-1.6, but since this project isn't quite paying attention to the warnings it lead to this crash with pytorch-1.7. It seems to be a weird situation where a deprecation warning hasn't been turned into an error and instead leading to a crash with this p... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | This PR fixes a crash in deberta tests w/ pytorch-1.7+:
```
RuntimeError: diff_view_meta->output_nr_ == 0 INTERNAL ASSERT FAILED at "/opt/conda/conda- \
bld/pytorch_1603436966316/work/torch/csrc/autograd/variable.cpp":363, please report a bug to PyTorch.
```
All credits go to @gchanan, thank you! For details of... | {
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```
"model.encoder.embed_tokens.weight",
"model.decoder.embed_tokens.weight",
```
are in the PT state dict but not the TF symbolic weights.
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https://api.github.com/repos/huggingface/transformers/issues/8055 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8055/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8055/comments | https://api.github.com/repos/huggingface/transformers/issues/8055/events | https://github.com/huggingface/transformers/issues/8055 | 729,722,332 | MDU6SXNzdWU3Mjk3MjIzMzI= | 8,055 | BertEncoder has no attribute 'bias' when convert tf checkpoint | {
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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"
] | 1,603 | 1,609 | 1,609 | NONE | null | # ❓ Questions & Help
BertEncoder object has no attribute 'bias' when convert tf checkpoint
<!-- 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.hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/8054 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8054/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8054/comments | https://api.github.com/repos/huggingface/transformers/issues/8054/events | https://github.com/huggingface/transformers/issues/8054 | 729,706,558 | MDU6SXNzdWU3Mjk3MDY1NTg= | 8,054 | Add m2m 100 multilingual translation model from FAIR | {
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"If it helps, I managed to load the weights from M2M100 - 418M param model to Mbart\r\n```\r\nfrom transformers import MBartForConditionalGeneration, MBartConfig, AutoTokenizer, AutoModelForSeq2SeqLM\r\nfrom fairseq import checkpoint_utils, options, tasks, utils\r\nimport torch\r\n\r\nwith open('418M_last_checkpoin... | 1,603 | 1,616 | 1,615 | CONTRIBUTOR | null | Weights, code are available.
+ Fairseq Code: https://github.com/pytorch/fairseq/tree/master/examples/m2m_100?fbclid=IwAR304kICXsffdDMogK4MWf4D7Xeu_3Cbmgu8pBCU_jKcjijCuJfLK7CY9_I
+ Paper: https://arxiv.org/abs/2010.11125
+ This model will not run on 1 V100 GPU, so model parallelism will be needed.
+ I would exp... | {
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https://api.github.com/repos/huggingface/transformers/issues/8053 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8053/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8053/comments | https://api.github.com/repos/huggingface/transformers/issues/8053/events | https://github.com/huggingface/transformers/pull/8053 | 729,635,985 | MDExOlB1bGxSZXF1ZXN0NTEwMDg4MzY1 | 8,053 | Minor error fix of 'bart-large-cnn' details in the pretrained_models doc | {
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"Thanks!",
"Thank you, too!"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | I found that there seemed to be a mistake regarding "facebook/bart-large-cnn" in the pretrained_models doc.
# What does this PR do?
While I check the model explanations in the pretrained_models doc, I found that there seemed to be a mistake.
Regarding `facebook/bart-large-cnn`, the details of the model is as f... | {
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https://api.github.com/repos/huggingface/transformers/issues/8052 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8052/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8052/comments | https://api.github.com/repos/huggingface/transformers/issues/8052/events | https://github.com/huggingface/transformers/pull/8052 | 729,629,218 | MDExOlB1bGxSZXF1ZXN0NTEwMDgyODcw | 8,052 | Fix a bug for `CallbackHandler.callback_list` | {
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"Do I need to add a test in `tests/test_trainer_callback.py` verifying that instantiating a trainer with duplicated callbacks doesn't fail?\r\n\r\n```python\r\n# this should not fail\r\ntrainer = self.get_trainer(\r\n callbacks=[MyTestTrainerCallback, MyTestTrainerCallback],\r\n)\r\n```",
"@sgugger Thanks for ... | 1,603 | 1,603 | 1,603 | 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.
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https://api.github.com/repos/huggingface/transformers/issues/8051 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8051/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8051/comments | https://api.github.com/repos/huggingface/transformers/issues/8051/events | https://github.com/huggingface/transformers/pull/8051 | 729,591,678 | MDExOlB1bGxSZXF1ZXN0NTEwMDUyMzYy | 8,051 | minor model card description updates | {
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Makes a few minor updates to the [joeddav/xlm-roberta-large-xnli](https://huggingface.co/joeddav/xlm-roberta-large-xnli) model card, such as removing the reference to the deprecated zero shot demo when the user can play with zero shot classification via the embedded widget. Also links to dist... | {
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https://api.github.com/repos/huggingface/transformers/issues/8050 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8050/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8050/comments | https://api.github.com/repos/huggingface/transformers/issues/8050/events | https://github.com/huggingface/transformers/pull/8050 | 729,572,886 | MDExOlB1bGxSZXF1ZXN0NTEwMDM3MjU1 | 8,050 | invalid argument wwm passed to the run_language_modeling.py file | {
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# What does this PR do?
--wwm cant be used as an argument given run_language_modeling.py and should be changed to --whole_word_mask
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https://api.github.com/repos/huggingface/transformers/issues/8049 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8049/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8049/comments | https://api.github.com/repos/huggingface/transformers/issues/8049/events | https://github.com/huggingface/transformers/pull/8049 | 729,557,613 | MDExOlB1bGxSZXF1ZXN0NTEwMDI0NzUz | 8,049 | Fix + Test | {
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Closes #8029
# Context
If the blenderbot-90 tokenizer is used to tokenize the following sequence:
```py
sequence = "Ok ."
```
It will split it in two tokens at first:
https://github.com/huggingface/transformers/blob/8bbe8247f13057b7df1b2c9abbfacb05b30020bf... | {
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https://api.github.com/repos/huggingface/transformers/issues/8048 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8048/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8048/comments | https://api.github.com/repos/huggingface/transformers/issues/8048/events | https://github.com/huggingface/transformers/pull/8048 | 729,552,304 | MDExOlB1bGxSZXF1ZXN0NTEwMDIwNDQx | 8,048 | Fix label name in DataCollatorForNextSentencePrediction test | {
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Labels have been renamed in `DataCollatorForNextSentencePrediction` to go with the fact `masked_lm_labels` is a deprecated argument, but the corresponding test was not adjusted accordingly, this PR fixes that.
Fixes #8034 | {
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https://api.github.com/repos/huggingface/transformers/issues/8047 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8047/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8047/comments | https://api.github.com/repos/huggingface/transformers/issues/8047/events | https://github.com/huggingface/transformers/issues/8047 | 729,515,951 | MDU6SXNzdWU3Mjk1MTU5NTE= | 8,047 | [T5] Unused `n_positions` and `max_position_embeddings`. | {
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```python
from transformers import T5Model
model = T5Mode... | {
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https://api.github.com/repos/huggingface/transformers/issues/8046 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8046/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8046/comments | https://api.github.com/repos/huggingface/transformers/issues/8046/events | https://github.com/huggingface/transformers/pull/8046 | 729,463,367 | MDExOlB1bGxSZXF1ZXN0NTA5OTQ3MTMy | 8,046 | Minor typo fixes to the preprocessing tutorial in the docs | {
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# What does this PR do?
Minor typo fixes to the tokenizer summary in the docs
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
documentation: @sgugger
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https://api.github.com/repos/huggingface/transformers/issues/8045 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8045/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8045/comments | https://api.github.com/repos/huggingface/transformers/issues/8045/events | https://github.com/huggingface/transformers/pull/8045 | 729,462,986 | MDExOlB1bGxSZXF1ZXN0NTA5OTQ2ODIy | 8,045 | Minor typo fixes to the tokenizer summary in the docs | {
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# What does this PR do?
Minor typo fixes to the tokenizer summary in the docs
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
documentation: @sgugger
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"I just discovered that roberta does not respect max_embeddings_postion (it adds `padding_idx` to it) so the current fix actually does not really fix it for roberta. If t5 is another special case I fear the current approach is not adapted.\r\n\r\n",
"> I just discovered that roberta does not respect max_embedding... | 1,603 | 1,651 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
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"LGTM!",
"@patrickvonplaten , @sshleifer \r\nI am seeing a major slowdown on TPU V3-8, \r\nlast time (9e68d075a4100906509170498480823e7e61874a) `sshleifer/student_marian_en_ro_6_3` finished 1 epoch in ~6 mins,\r\nnow on this branch it's showing ~1hr 20 mins",
"> @patrickvonplaten , @sshleifer\r\n> I am seeing ... | 1,603 | 1,603 | 1,603 | MEMBER | null | # What does this PR do?
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"I'm going to close this PR. I started it but ultimately feel it's not worth it.\r\nThe overhead is non zero for a simple error message, that won't bring that much value (most users can debug anyway, users that can't won't necessarily do a better job with the improved error message)"
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"Cool, thanks for sharing!"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | Add two model_cards: ethanyt/guwenbert-base and ethanyt/guwenbert-large | {
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https://api.github.com/repos/huggingface/transformers/issues/8040 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8040/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8040/comments | https://api.github.com/repos/huggingface/transformers/issues/8040/events | https://github.com/huggingface/transformers/issues/8040 | 729,381,189 | MDU6SXNzdWU3MjkzODExODk= | 8,040 | Converting Transformers model to Tensorflow model | {
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"I don't believe we have a way of converting keras models from .h5 to .pb. What is your use case, so that we can see if we may help further?",
"I want to improve the inference performance. I fine-tuned the pretrained model (`dbmdz/bert-base-turkish-uncased`). TensorRT can be helpful to reduce inference time. Use ... | 1,603 | 1,631 | 1,604 | NONE | null | I am trying to convert `dbmdz/bert-base-turkish-uncased` to tensorflow model (`.pb`). It contains `tf_model.h5` file.
I tried to convert from `tf_model.h5` to tensorflow model. However, I couldn't handle it. Is `tf_model.h5` file keras model, isn’t it?
Is there any instruction to convert huggingface non-tf model... | {
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https://api.github.com/repos/huggingface/transformers/issues/8039 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8039/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8039/comments | https://api.github.com/repos/huggingface/transformers/issues/8039/events | https://github.com/huggingface/transformers/issues/8039 | 729,286,213 | MDU6SXNzdWU3MjkyODYyMTM= | 8,039 | Why the functions "add_special_tokens()" and "resize_token_embeddings()" hurt the performance of 'gpt2' and 'gpt2-medium' but not 'gpt2-large' and 'gpt2-xl' ? | {
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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",
"This behavior is caused by the fact that GPT2 is a model that ties the weights of the token embeddings and the language model head. For... | 1,603 | 1,623 | 1,609 | NONE | null | # ❓ Questions & Help
## Details
When I use add_special_tokens and resize_token_embeddings to expand the vocabulary, the LM loss would become very large in gpt2 and gpt2-medium models (loaded by from_pretrained('gpt2') and from_pretrained('gpt2-medium)). But it don't happen when I load the gpt2-large and gpt2-xl mod... | {
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"Hey @shamanez,\r\n\r\nFrom the paper: https://arxiv.org/pdf/2005.11401.pdf (check part 2.2 - 2.5) it seems like the doc-encoder was never explicitely pre-trained for RAG, but the authors used a pre-trained retriever that \"was trained to retrieve documents which\r\ncontain answers to TriviaQA [20] questions and Na... | 1,603 | 1,610 | 1,610 | CONTRIBUTOR | null | Now the RAG consists of a [script](https://github.com/huggingface/transformers/blob/master/examples/rag/use_own_knowledge_dataset.py) where we can use a custom dataset other than the wiki-dataset.
Since, in the fine-tuning phase of the RAG, we do not update the doc-encoder (we update only BART and Question Encode... | {
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https://api.github.com/repos/huggingface/transformers/issues/8036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8036/comments | https://api.github.com/repos/huggingface/transformers/issues/8036/events | https://github.com/huggingface/transformers/pull/8036 | 729,087,836 | MDExOlB1bGxSZXF1ZXN0NTA5NjQyNTM0 | 8,036 | Add mixed precision evaluation | {
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"I see your point; Apex will take care of the other case. Updated!",
"Thanks!"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | # What does this PR do?
Add flag and code to do mixed precision forward in trainer's `prediction_step` function.
Let evaluation (and prediction) to run faster.
## Who can review?
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/8035 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8035/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8035/comments | https://api.github.com/repos/huggingface/transformers/issues/8035/events | https://github.com/huggingface/transformers/issues/8035 | 729,070,622 | MDU6SXNzdWU3MjkwNzA2MjI= | 8,035 | ModelUtilsTest.test_model_from_pretrained failiing on CUDA | {
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"Assign me!",
"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"
] | 1,603 | 1,609 | 1,609 | CONTRIBUTOR | null | Seems as though an `architecture` key is being added.
Not sure who to assign this to @LysandreJik.
```python
__________________ ModelUtilsTest.test_model_from_pretrained ___________________
[gw0] linux -- Python 3.7.6 /home/hf/actions-runner_transformers/_work/transformers/transformers/.env/bin/python
self = <... | {
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https://api.github.com/repos/huggingface/transformers/issues/8034 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8034/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8034/comments | https://api.github.com/repos/huggingface/transformers/issues/8034/events | https://github.com/huggingface/transformers/issues/8034 | 729,070,356 | MDU6SXNzdWU3MjkwNzAzNTY= | 8,034 | DataCollatorIntegrationTest::test_nsp failing on GPU | {
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"Think that should just be renamed `\"labels\"`. Will look tomorrow and fix."
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | @sgugger I believe you are the right person to tag?
```python
=================================== FAILURES ===================================
_____________________ DataCollatorIntegrationTest.test_nsp _____________________
[gw0] linux -- Python 3.7.6 /home/hf/actions-runner_transformers/_work/transformers/transf... | {
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https://api.github.com/repos/huggingface/transformers/issues/8033 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8033/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8033/comments | https://api.github.com/repos/huggingface/transformers/issues/8033/events | https://github.com/huggingface/transformers/pull/8033 | 729,065,097 | MDExOlB1bGxSZXF1ZXN0NTA5NjI1NjAz | 8,033 | [cleanup] pegasus,marian,mbart pytorch tests | {
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"node_id": "MDU6TGFiZWwyMTM5N... | closed | false | null | [] | [] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | + Cleans up 3 pytorch test files
+ Faster (num_beams=2) pegasus integration test.
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https://api.github.com/repos/huggingface/transformers/issues/8032 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8032/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8032/comments | https://api.github.com/repos/huggingface/transformers/issues/8032/events | https://github.com/huggingface/transformers/issues/8032 | 729,056,877 | MDU6SXNzdWU3MjkwNTY4Nzc= | 8,032 | Commit 121dd43 changes DialoGPT generation behavior | {
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"Hi @abisee , sorry for the inconvenience.\r\n\r\nEven though you did not pass in attention mask, it is created here: (first 2 lines)\r\nhttps://github.com/huggingface/transformers/blob/5148f433097915f30864bf0ca6090656fecefbb8/src/transformers/generation_utils.py#L352-L363\r\n\r\nchanging this\r\n`chat_history_ids ... | 1,603 | 1,610 | 1,610 | 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: Linux-4.4.0-127-generic-x86_64-with-debian-stretch-sid
- Python version: 3.7.3
- PyTo... | {
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https://api.github.com/repos/huggingface/transformers/issues/8031 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8031/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8031/comments | https://api.github.com/repos/huggingface/transformers/issues/8031/events | https://github.com/huggingface/transformers/pull/8031 | 729,050,530 | MDExOlB1bGxSZXF1ZXN0NTA5NjE0ODQy | 8,031 | [fix] FSMT slow test uses lists instead of torch tensors | {
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cc @stas00 | {
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https://api.github.com/repos/huggingface/transformers/issues/8030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8030/comments | https://api.github.com/repos/huggingface/transformers/issues/8030/events | https://github.com/huggingface/transformers/pull/8030 | 729,016,560 | MDExOlB1bGxSZXF1ZXN0NTA5NTg5NTEw | 8,030 | Getting Hosted inference API working? | {
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"@longenbach `pipeline_tag` expects a single string, not an array of string.\r\n\r\nNote that you wouldn't need any of the tags or pipeline_tag (they would be detected automatically) if your `config.json` contained:\r\n\r\n```json\r\n{\r\n ...\r\n \"architectures\": [\r\n \"BertForMaskedLM\"\r\n ],\r\n \"mod... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | Trying to get Hosted inference API to work. Was following https://gist.github.com/julien-c/857ba86a6c6a895ecd90e7f7cab48046 ... is below the correct YAML syntax?
pipeline:
-fill-mask
widget:
-text: "København er [mask] i Danmark."
# What does this PR do?
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Script used:
```
from transformers import BlenderbotSmallTokenizer, BlenderbotForConditionalGeneration
mname = 'facebook/blenderbot-90M'
tokenizer = BlenderbotSmallTokenizer.from_pretrained(mname)
sentence = "."
tokenizer(sentence)['input_ids']
```
This throws `IndexError: tup... | {
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https://api.github.com/repos/huggingface/transformers/issues/8028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8028/comments | https://api.github.com/repos/huggingface/transformers/issues/8028/events | https://github.com/huggingface/transformers/issues/8028 | 728,996,866 | MDU6SXNzdWU3Mjg5OTY4NjY= | 8,028 | [BUG] Unexpected overflowing_tokens in tokenizer.encode_plus | {
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"I confirm the issue. It was ok with transformers 3.0.0, but from 3.1.0 it is changed.",
"And the code:\r\nhttps://github.com/huggingface/transformers/blob/6b4c617666fd26646d44d54f0c45dfe1332b12ca/src/transformers/tokenization_utils_base.py#L2558-L2571\r\nlooks bugged, despite above: `ids = ids[:-1]` should be `i... | 1,603 | 1,609 | 1,609 | 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: 3.4.0
- Platform: Linux
- Python version: 3.7
- PyTorch version (GPU?): 1.3.1
- Tensorflow version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/8027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8027/comments | https://api.github.com/repos/huggingface/transformers/issues/8027/events | https://github.com/huggingface/transformers/issues/8027 | 728,994,446 | MDU6SXNzdWU3Mjg5OTQ0NDY= | 8,027 | (Load dataset failure) ConnectionError: Couldn’t reach https://raw.githubusercontent.com/huggingface/datasets/1.1.2/datasets/cnn_dailymail/cnn_dailymail.py | {
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"I got a same problem as you. I install the transformer from source but still has this problem. @sgugger ",
"I had the same problem, but this is how I solved it\r\n1、Access the address and download the file：\r\nhttps://raw.githubusercontent.com/huggingface/datasets/1.6.0/datasets/bookcorpus/bookcorpus.py\r\n2、Put... | 1,603 | 1,619 | 1,603 | 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/ .
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https://api.github.com/repos/huggingface/transformers/issues/8026 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8026/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8026/comments | https://api.github.com/repos/huggingface/transformers/issues/8026/events | https://github.com/huggingface/transformers/pull/8026 | 728,961,783 | MDExOlB1bGxSZXF1ZXN0NTA5NTUxMTQ0 | 8,026 | [Model Card] new cross lingual sentence model for German and English | {
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"@julien-c The small subsequent adjustments are done. \r\nI would be happy if it could be merged.\r\n\r\nThanks a lot\r\nPhilip"
] | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | - add new model card
- adapted model cards of our other sentence embeddings | {
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https://api.github.com/repos/huggingface/transformers/issues/8025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8025/comments | https://api.github.com/repos/huggingface/transformers/issues/8025/events | https://github.com/huggingface/transformers/pull/8025 | 728,901,057 | MDExOlB1bGxSZXF1ZXN0NTA5NTEwNjg1 | 8,025 | Create README.md | {
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"we should probably validate model ids (to something like `[\\w\\d-_]{3,}`) @Pierrci, mind creating an issue for this?"
] | 1,603 | 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.
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https://api.github.com/repos/huggingface/transformers/issues/8024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8024/comments | https://api.github.com/repos/huggingface/transformers/issues/8024/events | https://github.com/huggingface/transformers/issues/8024 | 728,889,733 | MDU6SXNzdWU3Mjg4ODk3MzM= | 8,024 | T5 on multiple tasks | {
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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"
] | 1,603 | 1,609 | 1,609 | NONE | null | Dear Huggingface team,
I am looking for a code to pretrain T5 on multiple tasks, the best I could find is the code released with wrapper around huggingface T5 model in the original author's repo:
https://github.com/google-research/text-to-text-transfer-transformer/blob/master/t5/models/hf_model.py
On line 308-310,... | {
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https://api.github.com/repos/huggingface/transformers/issues/8023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8023/comments | https://api.github.com/repos/huggingface/transformers/issues/8023/events | https://github.com/huggingface/transformers/pull/8023 | 728,830,370 | MDExOlB1bGxSZXF1ZXN0NTA5NDYxMTgx | 8,023 | Tiny TF Bart fixes | {
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https://api.github.com/repos/huggingface/transformers/issues/8022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8022/comments | https://api.github.com/repos/huggingface/transformers/issues/8022/events | https://github.com/huggingface/transformers/issues/8022 | 728,823,097 | MDU6SXNzdWU3Mjg4MjMwOTc= | 8,022 | [test] tests/test_modeling_deberta.py breaks on pytorch-nightly | {
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"I couldn't reproduce this against 1.6. When I run it against 1.7, I get:\r\n\r\n /data/users/gchanan/transformers/src/transformers/modeling_deberta.py:574: UserWarning: Output 0 of SplitBackward is a view and is being modified inplace. This view is an output of a function that returns multiple views. Inplace ope... | 1,603 | 1,603 | 1,603 | CONTRIBUTOR | null | pytorch-nightly and pytorch-1.7-candidate break these:
```
FAILED tests/test_modeling_deberta.py::DebertaModelTest::test_deberta_model - RuntimeError: diff_view_meta->output_nr_ == 0 INTERNAL ASSERT FAILED...
FAILED tests/test_modeling_deberta.py::DebertaModelTest::test_feed_forward_chunking - RuntimeError: diff_vie... | {
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