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https://api.github.com/repos/huggingface/transformers/issues/6020 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6020/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6020/comments | https://api.github.com/repos/huggingface/transformers/issues/6020/events | https://github.com/huggingface/transformers/pull/6020 | 665,246,221 | MDExOlB1bGxSZXF1ZXN0NDU2MzUxMjkw | 6,020 | Create README.md | {
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"👍 \r\n\r\nWould you like to add example inputs for all models for `pt`? If you do, please open a PR against this file: https://github.com/huggingface/widgets-server/blob/master/DefaultWidget.ts\r\n\r\nThanks:)"
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | README.md for my model
https://huggingface.co/rdenadai/BR_BERTo | {
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https://api.github.com/repos/huggingface/transformers/issues/6019 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6019/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6019/comments | https://api.github.com/repos/huggingface/transformers/issues/6019/events | https://github.com/huggingface/transformers/pull/6019 | 665,236,771 | MDExOlB1bGxSZXF1ZXN0NDU2MzQzNTA0 | 6,019 | Update the new model template | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6019?src=pr&el=h1) Report\n> Merging [#6019](https://codecov.io/gh/huggingface/transformers/pull/6019?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/778e635fc900e5afc90e5f8f4ca74b5d5fc2976a&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | COLLABORATOR | null | The model template files were old and did not use any of the recent improvements (output attentions, output hidden states, docstrings refactored...)
This PR fixes them and adds a few more instructions.
Tagging @LysandreJik, @patrickvonplaten, @thomwolf and @julien-c : We have to make sure that whenever we make a ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6018 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6018/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6018/comments | https://api.github.com/repos/huggingface/transformers/issues/6018/events | https://github.com/huggingface/transformers/issues/6018 | 665,213,195 | MDU6SXNzdWU2NjUyMTMxOTU= | 6,018 | seq2seq/finetune.py can take config train_params through command line | {
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"@stas00 this might be up your alley.",
"Added to my todo queue - thank you, @sshleifer",
"https://github.com/huggingface/transformers/pull/6149"
] | 1,595 | 1,596 | 1,596 | CONTRIBUTOR | null | - this might belong in lightning_base
- check how/if trainer does it.
Desired API:
```bash
python finetune.py --encoder_layerdrop 0.1 --decoder_layerdrop 0.1 --dropout 0.1 --attention_dropout 0.1
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/6017 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6017/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6017/comments | https://api.github.com/repos/huggingface/transformers/issues/6017/events | https://github.com/huggingface/transformers/issues/6017 | 665,211,411 | MDU6SXNzdWU2NjUyMTE0MTE= | 6,017 | convert_bart script should support mbart through command line. | {
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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"
] | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | Desired command:
```convert_mbart_checkpoint.py --checkpoint_dir --pytorch_dump_path```
This should probably also convert the tokenizer. | {
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https://api.github.com/repos/huggingface/transformers/issues/6016 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6016/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6016/comments | https://api.github.com/repos/huggingface/transformers/issues/6016/events | https://github.com/huggingface/transformers/pull/6016 | 665,209,091 | MDExOlB1bGxSZXF1ZXN0NDU2MzIwNTM1 | 6,016 | Create model card for RuPERTa-base | {
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"Feel free to apply the change",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6016?src=pr&el=h1) Report\n> Merging [#6016](https://codecov.io/gh/huggingface/transformers/pull/6016?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3996041d0ae23ce23dfb8a343e6344... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6015 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6015/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6015/comments | https://api.github.com/repos/huggingface/transformers/issues/6015/events | https://github.com/huggingface/transformers/pull/6015 | 665,188,820 | MDExOlB1bGxSZXF1ZXN0NDU2MzAzOTQx | 6,015 | Tf trainer cleanup | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6015?src=pr&el=h1) Report\n> Merging [#6015](https://codecov.io/gh/huggingface/transformers/pull/6015?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3b44aa935a4d8f1b0e93a23070d97be6b9c9506b&el=desc) will **increase... | 1,595 | 1,596 | 1,596 | COLLABORATOR | null | This follows up from #5982 and does the same thing for `TFTrainer`.
Basically no code is changed, just moved around and the customization points are made public and explicit to the user. Starting to make the docs better but I will do it properly (for both Trainer and TFTrainer) after this PR is merged. | {
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"Thanks for flagging, the stable doc was building on a wrong commit hash, hence the DPR models being present.\r\nThis is fixed now."
] | 1,595 | 1,595 | 1,595 | NONE | null | # 🐛 Bug
You have DPRReader included in your v3.0.2 documentation, but it's in the Master branch, it's not included in v3.0.2 tag; therefore it crashes and cannot import it. I think it would be convenient to either eliminate that piece of documentation until the models are added in the tag, or update the transformer... | {
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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."
] | 1,595 | 1,614 | 1,614 | 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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## Benchmark
Which part of `transformers` did you benchmark?
## Set-up
What did you run your benchmarks on? Please include details, such as: CPU, GPU? If using multiple GPUs, which parallelization did you use?
## Results
Put your results here!
| {
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https://api.github.com/repos/huggingface/transformers/issues/6010 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6010/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6010/comments | https://api.github.com/repos/huggingface/transformers/issues/6010/events | https://github.com/huggingface/transformers/issues/6010 | 664,897,389 | MDU6SXNzdWU2NjQ4OTczODk= | 6,010 | install sentence-transformers on Linux by python error | {
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"I am also facing same issue while trying to install transformers version 3.0.2...Did you find any solution?",
"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",
"
, I got an error message:
ERROR: Could not find a version that satisfies the requirement transformers>=3.0.2 (from sentence-... | {
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https://api.github.com/repos/huggingface/transformers/issues/6009 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6009/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6009/comments | https://api.github.com/repos/huggingface/transformers/issues/6009/events | https://github.com/huggingface/transformers/pull/6009 | 664,874,805 | MDExOlB1bGxSZXF1ZXN0NDU2MDQxMzc3 | 6,009 | [model_cards] roberta-base-finetuned-yelp-polarity | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6009?src=pr&el=h1) Report\n> Merging [#6009](https://codecov.io/gh/huggingface/transformers/pull/6009?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f5b5c5bd7e213dea1645f07902b681f88e3cf954&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | MEMBER | null | Model card for [roberta-base-finetuned-yelp-polarity](https://huggingface.co/VictorSanh/roberta-base-finetuned-yelp-polarity). | {
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https://api.github.com/repos/huggingface/transformers/issues/6008 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6008/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6008/comments | https://api.github.com/repos/huggingface/transformers/issues/6008/events | https://github.com/huggingface/transformers/pull/6008 | 664,802,063 | MDExOlB1bGxSZXF1ZXN0NDU1OTgxOTE4 | 6,008 | fix: model card readme clutter | {
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"looks good now 👍\r\n\r\n(we'll have a better system for model cards soon-ish)"
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | this removes the clutter line in the readme.md of model card `csarron/roberta-base-squad-v1`. It also fixes the result table. | {
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https://api.github.com/repos/huggingface/transformers/issues/6007 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6007/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6007/comments | https://api.github.com/repos/huggingface/transformers/issues/6007/events | https://github.com/huggingface/transformers/issues/6007 | 664,795,308 | MDU6SXNzdWU2NjQ3OTUzMDg= | 6,007 | Fine tune T5 for paraphrase generation | {
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"Phew, won't be able answer all the questions in single comment, will try my best.\r\n\r\n2. IMO for generating paraphrases you probably won't need negative examples.\r\n\r\n3. You assumption is correct, knowledge learned from one task can be useful for other similar tasks. You can approach this as a multitask prob... | 1,595 | 1,601 | 1,601 | NONE | null | # ❓ Questions & Help
Dear all,
I am new to NLP and has a lot of questions. Sorry to ask this long list here. I tried asking on huggingface's forum but as a new user, I can only put 2 lines there.
My goal is to fine-tuned t5-large for paraphrase generation. I found [this code](https://github.com/ramsrigouthamg/Para... | {
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https://api.github.com/repos/huggingface/transformers/issues/6006 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6006/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6006/comments | https://api.github.com/repos/huggingface/transformers/issues/6006/events | https://github.com/huggingface/transformers/pull/6006 | 664,754,862 | MDExOlB1bGxSZXF1ZXN0NDU1OTQzMTA3 | 6,006 | Model cards: add roberta-base-squad-v1 and bert-base-uncased-squad-v1 | {
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"Thanks!",
"> Thanks!\r\n\r\nLove this amazing library! Happy to contribute! 😊"
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6005 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6005/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6005/comments | https://api.github.com/repos/huggingface/transformers/issues/6005/events | https://github.com/huggingface/transformers/pull/6005 | 664,747,687 | MDExOlB1bGxSZXF1ZXN0NDU1OTM3MTQ0 | 6,005 | Model utils doc | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6005?src=pr&el=h1) Report\n> Merging [#6005](https://codecov.io/gh/huggingface/transformers/pull/6005?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7e251ae0395bd3e558c633fe8664fbdf612cb4f4&el=desc) will **decrease... | 1,595 | 1,596 | 1,595 | COLLABORATOR | null | This PR documents all the model utilities and fixes a few things in the `PreTrainedModel`/`TFPreTrainedModel`.
It introduces a new category I called "internal" that comes at the very end of the package documentation, which is aimed at documenting all our public internal methods (e.g., public in their modules, but no... | {
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https://api.github.com/repos/huggingface/transformers/issues/6004 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6004/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6004/comments | https://api.github.com/repos/huggingface/transformers/issues/6004/events | https://github.com/huggingface/transformers/issues/6004 | 664,743,318 | MDU6SXNzdWU2NjQ3NDMzMTg= | 6,004 | CI/Examples: ModuleNotFoundError: No module named '_sqlite3' | {
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"Very weird. Only the seq2seq examples have a dependency on nltk, which in turn has a dependency on sqlite3?\r\n\r\nAre we pinning a recent nltk version?",
"We are requiring rouge_scorer, which uses nltk for stemming. There is no pinning.",
"@mfuntowicz fixed, thanks!"
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | This is a common issue, all solutions I have found to address involve recompiling python.
like [1](https://stackoverflow.com/questions/1210664/no-module-named-sqlite3) [2](https://www.virtualizationteam.com/cloud/running-vcd-cli-fail-with-the-following-error-modulenotfounderror-no-module-named-_sqlite3.html)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6003 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6003/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6003/comments | https://api.github.com/repos/huggingface/transformers/issues/6003/events | https://github.com/huggingface/transformers/pull/6003 | 664,737,218 | MDExOlB1bGxSZXF1ZXN0NDU1OTI4NTIz | 6,003 | MBART: support summarization tasks where max_src_len > max_tgt_len | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6003?src=pr&el=h1) Report\n> Merging [#6003](https://codecov.io/gh/huggingface/transformers/pull/6003?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d1d15d6f2de9e2cde48ff3ea2072add3311ce2ac&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Previously, MBartTokenizer.prepare_translation_batch always truncated `src_texts` and `tgt_texts` to the same length.
This PR exposes a `max_target_length` kwarg, which, if specified, will control truncation of target_texts. | {
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https://api.github.com/repos/huggingface/transformers/issues/6002 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6002/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6002/comments | https://api.github.com/repos/huggingface/transformers/issues/6002/events | https://github.com/huggingface/transformers/issues/6002 | 664,733,034 | MDU6SXNzdWU2NjQ3MzMwMzQ= | 6,002 | Deebert Examples test failure | {
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"@Ji-Xin would you mind taking a stab at this?\r\nCommand:\r\n```bash\r\nRUN_SLOW=1 pytest examples/deebert/ \r\n```"
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | `DeeBertTests.test_glue_deebert`
Excerpt from [CI](https://pipelines.actions.githubusercontent.com/SFFqAjp6ciVZiZmfZfjie9y9Q96dfpUE8sJvWAtTDWoFlixGkf/_apis/pipelines/1/runs/4783/signedlogcontent/3?urlExpires=2020-07-23T20%3A02%3A20.7871420Z&urlSigningMethod=HMACV1&urlSignature=XL%2Fj%2F2NSBD3Q174ifxC4jTOQUloQMx3UFZ%2B... | {
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https://api.github.com/repos/huggingface/transformers/issues/6001 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6001/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6001/comments | https://api.github.com/repos/huggingface/transformers/issues/6001/events | https://github.com/huggingface/transformers/issues/6001 | 664,728,469 | MDU6SXNzdWU2NjQ3Mjg0Njk= | 6,001 | MbartDataset can support Summarization | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6000?src=pr&el=h1) Report\n> Merging [#6000](https://codecov.io/gh/huggingface/transformers/pull/6000?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/6e161955105f7e012dba5d51842923fc25fc5cdf&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Model Card for bert-german-dbmdz-uncased-sentence-stsb | {
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"Will be fixed by #5982",
"Fixed by #5982"
] | 1,595 | 1,595 | 1,595 | NONE | null | # 🐛 Bug
## Information
I found this bug while running example/token_classification/run_ner.py.
I fixed that by delete the 'self.' prefix.
## Reproduce
just execute `run_ner.py`
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"Hi @ashispapu, T5 pre-training is not yet available in transformers, I'm working on it but might take some time. Feel free to take a stab.",
"Hi @patil-suraj Thanks for the response. Let me try it.",
"@patil-suraj, thanks for working on the different T5 ropes. Can you point to the branch you 're working for pr... | 1,595 | 1,631 | 1,606 | NONE | null | Hi Team,
I was exploring the pre training procedure/document for T5 models(small,base, large) models on different languages from scratch. However did not come across anything which could help me. Please share if there is any resource for the same. If not, could you please consider to include it .
Thank you . | {
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https://api.github.com/repos/huggingface/transformers/issues/5995 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5995/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5995/comments | https://api.github.com/repos/huggingface/transformers/issues/5995/events | https://github.com/huggingface/transformers/pull/5995 | 664,435,922 | MDExOlB1bGxSZXF1ZXN0NDU1Njc2MDEy | 5,995 | [WIP] Trainer supports all Datasets as train_dataset, with/without __len__ #5990 | {
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"> Note that there is some moving around of the code in Trainer coming in #5982 (I'll probably merge it today) so you may need to adapt a bit the code.\r\n\r\nI'll wait for the merge of #5982 and introduce the fix for #5990 after.\r\n\r\n> Note that there is no test_steps field since the evaluation is supposed to b... | 1,595 | 1,603 | 1,602 | CONTRIBUTOR | null | A first PR.
Passed:
- `make test`
- `make style`
- `make quality`
Modifies:
- trainer.py: fixes issue
- test_trainer.py: calls `Trainer.train()`
It fixes only the case where the TRAINING dataset has not the `__len__` method.
The distinction is not between `Dataset` and `IterableDataset`, but between ob... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5994?src=pr&el=h1) Report\n> Merging [#5994](https://codecov.io/gh/huggingface/transformers/pull/5994?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/33d7506ea10ca92886fd1bb3b5306a1a720c58fe&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | MEMBER | null | possible fix for #5987
`</s>` should be added at the end of target text
@sshleifer | {
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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"
] | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | # 🚀 Feature request
Store Predictions on CPU in Every Prediction Iteration (Trainer)
## Motivation
Currently, in [`Trainer._prediction_loop`,](https://github.com/huggingface/transformers/blob/33d7506ea10ca92886fd1bb3b5306a1a720c58fe/src/transformers/trainer.py#L785) the predictions (logits) of the model is s... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5992?src=pr&el=h1) Report\n> Merging [#5992](https://codecov.io/gh/huggingface/transformers/pull/5992?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d32279438a73e71961f53baa4fb47d0f08c2984d&el=desc) will **increase... | 1,595 | 1,596 | 1,596 | MEMBER | null | - Rename the current **torchscript.rst** to **serialization.rst**
- Move torchscript documentation into a subsection of the above **serialization.rst**
- Introduce documentation for ONNX/ONNXRuntime in the above section
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com> | {
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"Hi, thanks for raising this issue! Indeed, this looks like an issue. Do you want to open a PR with the fix you propose?",
"Hey @maurice-g, \r\n\r\nThanks a lot for the fix!"
] | 1,595 | 1,596 | 1,596 | CONTRIBUTOR | null | # 🐛 Bug
## Information
The [_shift_right](https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_tf_t5.py#L777) method of the `TFT5PreTrainedModel` returns all zeros instead of shifting the `input_ids`.
## To reproduce
```
import tensorflow as tf
def shape_list(x):
"""De... | {
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https://api.github.com/repos/huggingface/transformers/issues/5990 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5990/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5990/comments | https://api.github.com/repos/huggingface/transformers/issues/5990/events | https://github.com/huggingface/transformers/issues/5990 | 664,279,965 | MDU6SXNzdWU2NjQyNzk5NjU= | 5,990 | Trainer: exception raised when calling len() on IterableDataset | {
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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"
] | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | # 🐛 Bug
## Information
While pre-training a Longformer model from scratch, the text is delivered through an `IterableDataset` object. The code which is called by `Trainer.train()` still calls `len()` on this object, which raises an exception.
#5829 addressed the proper creation of the Dataloader.
The problem a... | {
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https://api.github.com/repos/huggingface/transformers/issues/5989 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5989/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5989/comments | https://api.github.com/repos/huggingface/transformers/issues/5989/events | https://github.com/huggingface/transformers/pull/5989 | 664,279,942 | MDExOlB1bGxSZXF1ZXN0NDU1NTQ0NzEz | 5,989 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5989?src=pr&el=h1) Report\n> Merging [#5989](https://codecov.io/gh/huggingface/transformers/pull/5989?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/33d7506ea10ca92886fd1bb3b5306a1a720c58fe&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Hello, we are making this pull request to add model card for our Italian sentiment political model. Thanks!
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https://api.github.com/repos/huggingface/transformers/issues/5988 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5988/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5988/comments | https://api.github.com/repos/huggingface/transformers/issues/5988/events | https://github.com/huggingface/transformers/issues/5988 | 664,265,665 | MDU6SXNzdWU2NjQyNjU2NjU= | 5,988 | EncoderDecoderModel: weight can not be init from the checkpoint | {
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"Hi @nghuyong , you won't need to fix this warning, the reason for this warning is that cross-attention layer is added newly in the model as both of these models are encoder models and cross-attention is not available for encoder only models.\r\n\r\nThis warning will go away when you train the model, after trainin... | 1,595 | 1,604 | 1,604 | CONTRIBUTOR | null | I try to use EncoderDecoderModel to train a Chinese summary model.
```Python
from transformers import BertConfig, EncoderDecoderConfig, EncoderDecoderModel
encoder_config = BertConfig.from_pretrained('bert-base-chinese')
decoder_config = BertConfig.from_pretrained('bert-base-chinese', is_decoder=True)
encod... | {
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https://api.github.com/repos/huggingface/transformers/issues/5987 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5987/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5987/comments | https://api.github.com/repos/huggingface/transformers/issues/5987/events | https://github.com/huggingface/transformers/issues/5987 | 664,216,578 | MDU6SXNzdWU2NjQyMTY1Nzg= | 5,987 | Possible bug in preparing deocder_input_ids for T5 in seq2seq finetune.y | {
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"This could be one of the reasons for strange T5 behaviour.",
"Yes this is an excellent catch @patil-suraj !"
] | 1,595 | 1,595 | 1,595 | MEMBER | null | In finetune.py in `_step` method ([link](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/finetune.py#L131)) `decoder_input_ids` are prepared like this
```python3
source_ids, source_mask, target_ids = batch["input_ids"], batch["attention_mask"], batch["decoder_input_ids"]
decoder_input_ids = ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5986 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5986/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5986/comments | https://api.github.com/repos/huggingface/transformers/issues/5986/events | https://github.com/huggingface/transformers/issues/5986 | 664,146,960 | MDU6SXNzdWU2NjQxNDY5NjA= | 5,986 | how can I download T5-11B pretrained model? | {
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"I get an error when trying to use the hosted inference API too.\r\n\r\n\r\n> ⚠️ Error loading model Can't load weights for 't5-11b'. Make sure that: - 't5-11b' is a correct model identifier listed on 'https://huggingface.co/models' - or 't5-11b' is the correct path to a directory containing a file named one of pyt... | 1,595 | 1,648 | 1,601 | CONTRIBUTOR | null | It gives me the following error.
**OSError: Can't load weights for 't5-11b'. Make sure that:
- 't5-11b' is a correct model identifier listed on 'https://huggingface.co/models'
- or 't5-11b' is the correct path to a directory containing a file named one of pytorch_model.bin, tf_model.h5, model.ckpt.**
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https://api.github.com/repos/huggingface/transformers/issues/5985 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5985/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5985/comments | https://api.github.com/repos/huggingface/transformers/issues/5985/events | https://github.com/huggingface/transformers/pull/5985 | 664,065,639 | MDExOlB1bGxSZXF1ZXN0NDU1MzY4MjUz | 5,985 | Update doc of the model page | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5985?src=pr&el=h1) Report\n> Merging [#5985](https://codecov.io/gh/huggingface/transformers/pull/5985?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c3206eef44e9fbfca9ed4527f528107fcba31888&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | COLLABORATOR | null | Fixes docstring to conform to sphinx syntax and rephrase when needed. Also fixed bad copy-pastes from PyTorch to TF.
Preview is [here](https://64023-155220641-gh.circle-artifacts.com/0/docs/_build/html/main_classes/model.html). | {
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https://api.github.com/repos/huggingface/transformers/issues/5984 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5984/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5984/comments | https://api.github.com/repos/huggingface/transformers/issues/5984/events | https://github.com/huggingface/transformers/issues/5984 | 664,064,128 | MDU6SXNzdWU2NjQwNjQxMjg= | 5,984 | Albert pre-train from scratch convergence problem | {
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"@patil-suraj @julien-c @sgugger @sshleifer ",
"I tried different learning rate like 1.76e-3, 5e-5.(https://github.com/huggingface/transformers/issues/4727)\r\ndifferent dataset type: TextDataset, line_by_lineDataset.\r\nNone of them works.",
"I don't think your script will work like this, since the model requi... | 1,595 | 1,660 | 1,599 | CONTRIBUTOR | null | # 🐛 Bug
Albert pre-train convergence problem
- The model training loss converged at 6.6 when using AlbertForMaskedLM as model class
- negative training loss when using AlbertForPretrain as model class
notice: I was deliberately set the eval dataset the same as training set for checking training loss at last run.... | {
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https://api.github.com/repos/huggingface/transformers/issues/5983 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5983/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5983/comments | https://api.github.com/repos/huggingface/transformers/issues/5983/events | https://github.com/huggingface/transformers/issues/5983 | 664,036,345 | MDU6SXNzdWU2NjQwMzYzNDU= | 5,983 | pipeline does not do truncation on long texts input, error message found | {
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"Duplicate of #4224"
] | 1,595 | 1,595 | 1,595 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): No specified
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [X] my own modified scripts: (give details below)
The tasks I am working on... | {
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"Sadly changing the `__iter__` function does not work as it's used inside TensorFlow (specifically in `tensorflow/python/util/nest.py`).",
"Ok closing this prototype now that we have a way forward (see [the forum](https://discuss.huggingface.co/t/new-model-output-types/195/8))."
] | 1,595 | 1,596 | 1,596 | COLLABORATOR | null | This picks up on the work @thomwolf did on #5740 to have self-documented outputs in TensorFlow that are compatible with the AutoGraph system.
`TFModelOuput` subclasses `OrderedDict` while still being a dataclass, with some tweaks in the `post_init`:
- only the not-None attributes are set as values for the dictionary ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5979 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5979/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5979/comments | https://api.github.com/repos/huggingface/transformers/issues/5979/events | https://github.com/huggingface/transformers/issues/5979 | 663,924,651 | MDU6SXNzdWU2NjM5MjQ2NTE= | 5,979 | dynamic masking for RoBERTa model | {
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"Hi @mingyang3github \r\nmasking is implemented in ` DataCollatorForLanguageModeling`'s `mask_tokens` method, [here](https://github.com/huggingface/transformers/blob/master/src/transformers/data/data_collator.py#L103)\r\n\r\nFor pre-training you can use the language modeling script, it takes of the dataset and mask... | 1,595 | 1,648 | 1,601 | 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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"```\r\nfrom transformers import AutoModelWithLMHead, AutoTokenizer\r\n\r\ntokenizer = AutoTokenizer.from_pretrained(\"language-modeling/output/\")\r\nmodel = AutoModelWithLMHead.from_pretrained(\"language-modeling/output/\")\r\n\r\n\r\ninput_text=\"organic che\"\r\nfeatures = tokenizer([input_text], return_tensors... | 1,595 | 1,604 | 1,604 | NONE | null | I have text on which I want to fine tune the gpt2 model for text autocompletion on my text the text sentences are separated by new line is there any format I should follow. When I trained on the data as it is it is not giving me proper results with the default training parameters. I have nearly after split 25k sentence... | {
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https://api.github.com/repos/huggingface/transformers/issues/5977 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5977/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5977/comments | https://api.github.com/repos/huggingface/transformers/issues/5977/events | https://github.com/huggingface/transformers/pull/5977 | 663,892,270 | MDExOlB1bGxSZXF1ZXN0NDU1MjI1NjE2 | 5,977 | [demo] Broken fp16 test | {
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https://api.github.com/repos/huggingface/transformers/issues/5976 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5976/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5976/comments | https://api.github.com/repos/huggingface/transformers/issues/5976/events | https://github.com/huggingface/transformers/pull/5976 | 663,874,296 | MDExOlB1bGxSZXF1ZXN0NDU1MjEwOTcy | 5,976 | [test] partial coverage for train_mbart_enro_cc25.sh | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5976?src=pr&el=h1) Report\n> Merging [#5976](https://codecov.io/gh/huggingface/transformers/pull/5976?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2c0da7803a75f0fc6e6d484e23ca283faa32d785&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | CI covers all the examples logic that doesn't run on CUDA.
Adds coverage for:
- user facing bash script train_mbart_cc25_enro.sh
- the idea that seq2seq/finetune.py should lead to models getting better/ val BLEU increasing.
This only takes 10s to run on brutasse, so I gave it a minute for github actions CI, the o... | {
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https://api.github.com/repos/huggingface/transformers/issues/5975 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5975/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5975/comments | https://api.github.com/repos/huggingface/transformers/issues/5975/events | https://github.com/huggingface/transformers/pull/5975 | 663,817,799 | MDExOlB1bGxSZXF1ZXN0NDU1MTY0NDk4 | 5,975 | Transformer-XL: Fixed returned outputs when using `return_tuple=True` | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5975?src=pr&el=h1) Report\n> Merging [#5975](https://codecov.io/gh/huggingface/transformers/pull/5975?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ae67b2439fb15954bfd8f0fdf521cf1a650bafb9&el=desc) will **increase... | 1,595 | 1,596 | 1,595 | CONTRIBUTOR | null | Fixes #5974
`mems` are returned again when using `return_tuple=True`. | {
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"Thanks for flagging the issue, the fix is on its way to review.",
"Oh, I opened a PR for this, but it seems you fixed it yourself. I will close my PR then,"
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | # 🐛 Bug
## Information
The forward pass of the `TransfoXLLMHeadModel` returns no `mems` when using `return_tuple=True`.
Model I am using: Transformer-XL
Language I am using the model on: English
The problem arises when using:
* [x] my own modified scripts: (give details below)
## To reproduce
```... | {
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https://api.github.com/repos/huggingface/transformers/issues/5973 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5973/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5973/comments | https://api.github.com/repos/huggingface/transformers/issues/5973/events | https://github.com/huggingface/transformers/issues/5973 | 663,798,325 | MDU6SXNzdWU2NjM3OTgzMjU= | 5,973 | [cleanup] much cruft in unittests | {
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"@stas00, this might be up your alley! ",
"will do, thank you!",
"a large part is done: https://github.com/huggingface/transformers/pull/6196\r\n",
"problem: not all `results` in tests are objects, some are plain dict and can't be called with `.key_name`. So there is a large chunk of tests that haven't been r... | 1,595 | 1,596 | 1,596 | CONTRIBUTOR | null | Anti patterns:
- making a result dict and then using each of it's keys. Why use the dict?
- delete all mentions of `check_loss_output`
- use tuple equality: `self.assertEqual(tensor.shape, (bs, seq_len)` instead of
```python
self.assertListEqual(list(tensor.size()), [bs, seq_len])
```
This does not need to be... | {
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https://api.github.com/repos/huggingface/transformers/issues/5972 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5972/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5972/comments | https://api.github.com/repos/huggingface/transformers/issues/5972/events | https://github.com/huggingface/transformers/pull/5972 | 663,780,274 | MDExOlB1bGxSZXF1ZXN0NDU1MTMzOTE3 | 5,972 | Update to match renamed attributes in fairseq master | {
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"Do you mind doing the code quality so that we can merge? You can do `pip install -e \".[quality]` followed by `make style && make quality`.\r\n\r\nIf you don't have access to your fork, I can push on it directly to update the code quality and merge after.",
"Hi @LysandreJik,\r\nI tried to do the code quality but... | 1,595 | 1,596 | 1,596 | NONE | null | Fix #5917 : RobertaModel no longer have model.encoder and args.num_classes attributes as of 5/28/20. | {
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https://api.github.com/repos/huggingface/transformers/issues/5971 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5971/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5971/comments | https://api.github.com/repos/huggingface/transformers/issues/5971/events | https://github.com/huggingface/transformers/issues/5971 | 663,752,778 | MDU6SXNzdWU2NjM3NTI3Nzg= | 5,971 | ImportError: cannot import name 'MODEL_WITH_LM_HEAD_MAPPING' | {
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https://api.github.com/repos/huggingface/transformers/issues/5970 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5970/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5970/comments | https://api.github.com/repos/huggingface/transformers/issues/5970/events | https://github.com/huggingface/transformers/pull/5970 | 663,745,142 | MDExOlB1bGxSZXF1ZXN0NDU1MTA1MDUy | 5,970 | [WIP] Ner pipeline grouped_entities fixes | {
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"I'm wondering should the B & I part maybe separated from the entity type part? In the sense that you average the entities (disregarding the B/I part) and vice-versa. I now have the feeling that only the first subtoken decides whether the complete word is a B or an I. ",
"I want to complete this but ran into anot... | 1,595 | 1,604 | 1,604 | CONTRIBUTOR | null | There are many issues with ner pipeline using grouped_entities=True
https://github.com/huggingface/transformers/issues/5077
https://github.com/huggingface/transformers/issues/4816
https://github.com/huggingface/transformers/issues/5730
https://github.com/huggingface/transformers/issues/5609
https://github.com/hugg... | {
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https://api.github.com/repos/huggingface/transformers/issues/5969 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5969/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5969/comments | https://api.github.com/repos/huggingface/transformers/issues/5969/events | https://github.com/huggingface/transformers/issues/5969 | 663,744,142 | MDU6SXNzdWU2NjM3NDQxNDI= | 5,969 | run_squad example doesn't work with XLM model | {
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"see also #3535",
"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"
] | 1,595 | 1,602 | 1,602 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): XLM
Language I am using the model on (English, Chinese ...): Korean
The problem arises when using:
* [ ] the official example scripts: run_squad.py
* [ ] my own modified scripts: (give details below)
The tasks I am working on is:
* [ ] an off... | {
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https://api.github.com/repos/huggingface/transformers/issues/5968 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5968/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5968/comments | https://api.github.com/repos/huggingface/transformers/issues/5968/events | https://github.com/huggingface/transformers/issues/5968 | 663,708,806 | MDU6SXNzdWU2NjM3MDg4MDY= | 5,968 | Loss becoming nearly zero in first 5K steps when training LM from scratch | {
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"Hi! This is an interesting question, have you tried asking it over on the forums at https://discuss.huggingface.co ? You'll probably get more answers over there.",
"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... | 1,595 | 1,602 | 1,602 | NONE | null | I am training the ALBERT LM model from scratch.
I have already trained it for Hindi and Bangla and it was working fine but when I am training on Gujarati, the loss is becoming zero in 5K steps.
What could be the reason for the sudden drop in the loss? Can anyone suggest what could be the cause or how to debug suc... | {
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https://api.github.com/repos/huggingface/transformers/issues/5967 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5967/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5967/comments | https://api.github.com/repos/huggingface/transformers/issues/5967/events | https://github.com/huggingface/transformers/pull/5967 | 663,695,546 | MDExOlB1bGxSZXF1ZXN0NDU1MDYzNTU5 | 5,967 | Actually the extra_id are from 0-99 and not from 1-100 | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5967?src=pr&el=h1) Report\n> Merging [#5967](https://codecov.io/gh/huggingface/transformers/pull/5967?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ae67b2439fb15954bfd8f0fdf521cf1a650bafb9&el=desc) will **not chan... | 1,595 | 1,596 | 1,596 | CONTRIBUTOR | null | ```
a = tokenizer.encode("we got a <extra_id_99>", return_tensors='pt',add_special_tokens=True)
print(a)
>tensor([[ 62, 530, 3, 9, 32000]])
a = tokenizer.encode("we got a <extra_id_100>", return_tensors='pt',add_special_tokens=True)
print(a)
>tensor([[ 62, 530, 3, 9, 3, 2, 25666, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5966 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5966/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5966/comments | https://api.github.com/repos/huggingface/transformers/issues/5966/events | https://github.com/huggingface/transformers/pull/5966 | 663,682,179 | MDExOlB1bGxSZXF1ZXN0NDU1MDUyMTg3 | 5,966 | Bug fix: NER pipeline shouldn't group separate entities of same type | {
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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"
] | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | ## Effects
nlp=pipeline('ner', ... , grouped_entities=True)
## Fixes
Separate entities of same type shouldn't be grouped together even if they are same type
( B-type1 B-type1 ) != ( B-type1 I-type1 )
## Example
"something something Istanbul Los Angeles something something"
Current output: [ (O O) (B-typ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5965 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5965/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5965/comments | https://api.github.com/repos/huggingface/transformers/issues/5965/events | https://github.com/huggingface/transformers/issues/5965 | 663,591,586 | MDU6SXNzdWU2NjM1OTE1ODY= | 5,965 | BerTweet tokenizer issue | {
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"This model is defined as a `roberta` model but its tokenizer seems to be a Wordpiece tokenizer (based on the `vocab.txt` file), whereas Roberta uses a Byte-level BPE.\r\n\r\nThis is not currently supported out of the box by our `AutoTokenizer/AutoModel` features (model type ≠ tokenizer type) nor by our Pipelines b... | 1,595 | 1,604 | 1,604 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...):
Bertweet
## To reproduce
Steps to reproduce the behavior:
1. tokenizer = AutoTokenizer.from_pretrained("vinai/bertweet-base")
2.
3.
OSError: Model name 'vinai/bertweet-base' was not found in tokenizers model name list (roberta-base, robe... | {
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https://api.github.com/repos/huggingface/transformers/issues/5964 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5964/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5964/comments | https://api.github.com/repos/huggingface/transformers/issues/5964/events | https://github.com/huggingface/transformers/issues/5964 | 663,582,779 | MDU6SXNzdWU2NjM1ODI3Nzk= | 5,964 | text classification reuse without classifier | {
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"Hi! This doesn't currently work, because it's trying to instantiate a classification layer with 10 labels, while the checkpoint's classification layer has 19 labels. \r\n\r\nWhat you want is to keep the base layers, but ignore the classification layers. In order to do so, you can load your checkpoint in a base `Ro... | 1,595 | 1,596 | 1,596 | NONE | null | thanks in advance.
I want to train first more data, it mans more label.
(its like pretraining)
after that I choose some label only, and train again.
But error happened during below code
tokenizer = RobertaTokenizer.from_pretrained(pretrained_path, do_lower_case=False)
model = RobertaForSequenceClassificatio... | {
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https://api.github.com/repos/huggingface/transformers/issues/5963 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5963/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5963/comments | https://api.github.com/repos/huggingface/transformers/issues/5963/events | https://github.com/huggingface/transformers/issues/5963 | 663,494,106 | MDU6SXNzdWU2NjM0OTQxMDY= | 5,963 | Bert forward reports error on GPU; but runs fine on CPU | {
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"CUDA errors are always very cryptic 😕.\r\n\r\nDo you mind giving us an example that we can reproduce (e.g. with an article you're trying to encode that fails), so that we can see what's going on?",
"Thank you for the comment. I split my code into 2 script files: one is tokenize; the other is transform. Somehow ... | 1,595 | 1,596 | 1,596 | 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/5962 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5962/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5962/comments | https://api.github.com/repos/huggingface/transformers/issues/5962/events | https://github.com/huggingface/transformers/issues/5962 | 663,451,578 | MDU6SXNzdWU2NjM0NTE1Nzg= | 5,962 | tensorflow转为pytorch的两个文件在哪里？ | {
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"If I understand correctly and you're asking what/where are those two files:\r\n\r\n- `discriminator.json` is the configuration file for the model you want to convert\r\n- `model.bin` is the location where the converted checkpoint will be saved."
] | 1,595 | 1,596 | 1,596 | NONE | null | 
大佬您好：
请问这两个文件在哪里？discriminator.json和model.bin | {
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https://api.github.com/repos/huggingface/transformers/issues/5961 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5961/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5961/comments | https://api.github.com/repos/huggingface/transformers/issues/5961/events | https://github.com/huggingface/transformers/pull/5961 | 663,443,839 | MDExOlB1bGxSZXF1ZXN0NDU0ODU2MDA3 | 5,961 | [docs] Add integration test example to copy pasta template | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5961?src=pr&el=h1) Report\n> Merging [#5961](https://codecov.io/gh/huggingface/transformers/pull/5961?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e714412fe6b38346a1f73525b701e030857b2f21&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Encourage testing practices that have been encouraged since last update, namely:
- @slow tests that run on cuda and fp16 if possible and show that your model produces good outputs.
- more tests ~= better
- unindent the ModelTester
- call get_extended_attention_mask and delete massive comment.
My code is probab... | {
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https://api.github.com/repos/huggingface/transformers/issues/5960 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5960/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5960/comments | https://api.github.com/repos/huggingface/transformers/issues/5960/events | https://github.com/huggingface/transformers/pull/5960 | 663,424,873 | MDExOlB1bGxSZXF1ZXN0NDU0ODQxMDA5 | 5,960 | Adding Minimal Reproducible Usage Example For TPU support on examples/seq2seq | {
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"The test will obviously break, right?",
"Any progress on merging this?",
"they won't accept it as the checks have failed? \nBut it's expected for the checks to fail as I have modified `modeling_bart` and it's gonna have one more Param count.",
"Is that so @sshleifer?",
"Thanks for the contribution, this lo... | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | Attempt to resolve https://github.com/huggingface/transformers/issues/5895.
Minimal Working [Colab Example](https://colab.research.google.com/drive/16q2GWrnZ0Tjg1OxJQUcaWKCWwn3Jh5z0?usp=sharing).
For using more than a single core, one needs to ensure that enough RAM is available else wait for PyTorch-XLA to relea... | {
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"I think you can try code :\r\n```\r\nfrom transformers import BertTokenizer, BertModel\r\ntokenizer = BertTokenizer.from_pretrained(\"bert-base-uncased\")\r\nmodel = BertModel.from_pretrained(\"bert-base-uncased\")\r\n```",
"> I think you can try code :\r\n> \r\n> ```\r\n> from transformers import BertTokenizer,... | 1,595 | 1,613 | 1,595 | NONE | null | When I run below codes, I can successfully load the tokenizer but fail with loading the models.
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelWithLMHead.from_pretrained("bert-base-uncased")
Here is the error:
OSError: C... | {
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https://api.github.com/repos/huggingface/transformers/issues/5958 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5958/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5958/comments | https://api.github.com/repos/huggingface/transformers/issues/5958/events | https://github.com/huggingface/transformers/pull/5958 | 663,416,135 | MDExOlB1bGxSZXF1ZXN0NDU0ODM0MzA3 | 5,958 | Add functioning early stopping (patience) and weighted random sampling | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5958?src=pr&el=h1) Report\n> Merging [#5958](https://codecov.io/gh/huggingface/transformers/pull/5958?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/09a2f40684f77e62d0fd8485fe9d2d610390453f&el=desc) will **decrease... | 1,595 | 1,607 | 1,607 | NONE | null | This is to fix the issues in #4186 (hopefully) to get it merged in. Also adds weighted random sampling for imbalanced classes. | {
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"@aclifton314 just wondering if your custom dataset `__getitem__` is configured correctly? \r\ni.e I'm thinking it should be returning `return {'data': x, 'target': y}` or `return x, y`",
"@danieldiamond Thank you for the response. That's a good point about `__getitem__`. The data in my csv file is structured in... | 1,595 | 1,595 | 1,595 | NONE | null | ## System Info
Pop!_OS 20.04
Pytorch: 1.5.1
Transformers: 2.11.0
Python: 3.7.6
## Background Info
I wasn't sure what the `training_dataset` parameter of `Trainer` was so I opted to create a custom Pytorch `DataSet` using this [tutorial](https://pytorch.org/tutorials/beginner/data_loading_tutorial.html).
```pyt... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5956?src=pr&el=h1) Report\n> Merging [#5956](https://codecov.io/gh/huggingface/transformers/pull/5956?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e714412fe6b38346a1f73525b701e030857b2f21&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5955 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5955/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5955/comments | https://api.github.com/repos/huggingface/transformers/issues/5955/events | https://github.com/huggingface/transformers/issues/5955 | 663,376,572 | MDU6SXNzdWU2NjMzNzY1NzI= | 5,955 | module 'tensorflow_core._api.v2.config' has no attribute 'list_physical_devices' | {
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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"
] | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | # 🐛 Bug
A bunch of tf tests fail with:
```module 'tensorflow_core._api.v2.config' has no attribute 'list_physical_devices'```
```
ERROR tests/test_benchmark_tf.py - AttributeError: module 'tensorflow_core._api.v2.config' has no attribute 'list_physical_devices'
ERROR tests/test_benchmark_tf.py - AttributeEr... | {
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https://api.github.com/repos/huggingface/transformers/issues/5954 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5954/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5954/comments | https://api.github.com/repos/huggingface/transformers/issues/5954/events | https://github.com/huggingface/transformers/pull/5954 | 663,307,198 | MDExOlB1bGxSZXF1ZXN0NDU0NzQ1MjA0 | 5,954 | [pack_dataset] don't sort before packing, only pack train | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5954?src=pr&el=h1) Report\n> Merging [#5954](https://codecov.io/gh/huggingface/transformers/pull/5954?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d1d15d6f2de9e2cde48ff3ea2072add3311ce2ac&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | this is better than sorting.
But for best metrics, don't pack. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5953?src=pr&el=h1) Report\n> Merging [#5953](https://codecov.io/gh/huggingface/transformers/pull/5953?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d1d15d6f2de9e2cde48ff3ea2072add3311ce2ac&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | This should probably go to `commands/` | {
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https://api.github.com/repos/huggingface/transformers/issues/5950 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5950/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5950/comments | https://api.github.com/repos/huggingface/transformers/issues/5950/events | https://github.com/huggingface/transformers/issues/5950 | 663,252,101 | MDU6SXNzdWU2NjMyNTIxMDE= | 5,950 | seq2seq: checkpoint callback seems messed up | {
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"wrong thats just the directory. contents make more sense."
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | 
^^ lightning checkpoint saved much later than `best_tfmr` | {
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https://api.github.com/repos/huggingface/transformers/issues/5949 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5949/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5949/comments | https://api.github.com/repos/huggingface/transformers/issues/5949/events | https://github.com/huggingface/transformers/pull/5949 | 663,244,917 | MDExOlB1bGxSZXF1ZXN0NDU0NjkzNjUw | 5,949 | seq2seq/run_eval.py can take decoder_start_token_id | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5949?src=pr&el=h1) Report\n> Merging [#5949](https://codecov.io/gh/huggingface/transformers/pull/5949?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/95d1962b9c8460b4cec5a88eb9915e8e25f5bc1e&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Also: batch_decode: document kwargs for autocomplete | {
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https://api.github.com/repos/huggingface/transformers/issues/5948 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5948/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5948/comments | https://api.github.com/repos/huggingface/transformers/issues/5948/events | https://github.com/huggingface/transformers/issues/5948 | 663,242,736 | MDU6SXNzdWU2NjMyNDI3MzY= | 5,948 | Exporting T5 to ONNX | {
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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",
"Could you please provide your modified script?",
"fwiw, I'm seeing the same error when trying to export a T5 model for translation wi... | 1,595 | 1,622 | 1,622 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): t5-small (T5ForConditionalGeneration)
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
* [ x ] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/5947 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5947/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5947/comments | https://api.github.com/repos/huggingface/transformers/issues/5947/events | https://github.com/huggingface/transformers/issues/5947 | 663,238,256 | MDU6SXNzdWU2NjMyMzgyNTY= | 5,947 | Test on a new string of gpt2 fine tuned | {
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"I have these files generated\r\n<img width=\"1389\" alt=\"Screenshot 2020-07-22 at 12 39 19 AM\" src=\"https://user-images.githubusercontent.com/33617789/88096141-d1f06a80-cbb3-11ea-8468-9284fb074bef.png\">\r\n",
"can you please provide a code snippet",
"Not sure what you mean by test, do you want to generate ... | 1,595 | 1,596 | 1,596 | NONE | null | I fine tuned GPT2 on my own dataset now I have fine tuned model how can I test it on new string??
GPT-2/GPT and causal language modeling
The following example fine-tunes GPT-2 on WikiText-2. We're using the raw WikiText-2 (no tokens were replaced before the tokenization). The loss here is that of causal language ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5946 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5946/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5946/comments | https://api.github.com/repos/huggingface/transformers/issues/5946/events | https://github.com/huggingface/transformers/pull/5946 | 663,226,550 | MDExOlB1bGxSZXF1ZXN0NDU0Njc4NDk4 | 5,946 | Update doc to new model outputs | {
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"The other problem is that it downloads all models since it tests all examples. The PR fixes some docstrings so I know some of them were broken.\r\n\r\nSide note, the correct command is:\r\n```\r\nRUN_SLOW=yes pytest tests/test_doc_samples.py\r\n```\r\nsince they are all marked as slow.",
"# [Codecov](https://cod... | 1,595 | 1,595 | 1,595 | COLLABORATOR | null | This is a follow-up from #5438, adapting doc pages and examples. | {
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https://api.github.com/repos/huggingface/transformers/issues/5945 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5945/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5945/comments | https://api.github.com/repos/huggingface/transformers/issues/5945/events | https://github.com/huggingface/transformers/pull/5945 | 663,217,174 | MDExOlB1bGxSZXF1ZXN0NDU0NjcwODE3 | 5,945 | consistently use True/False for `return_tuple` | {
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"Mmm, it should be `None` all the time except if the model doesn't have an inner config. The current behavior for all other flags (`output_hidden_states` and `output_attentions`) is that passing an argument supersedes the config. So for instance, passing `return_tuple=False` to the model even if `config.return_tupl... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | …
consistently use True/False for `return_tuple` (currently it's sometimes None, sometimes False) | {
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https://api.github.com/repos/huggingface/transformers/issues/5944 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5944/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5944/comments | https://api.github.com/repos/huggingface/transformers/issues/5944/events | https://github.com/huggingface/transformers/issues/5944 | 663,172,864 | MDU6SXNzdWU2NjMxNzI4NjQ= | 5,944 | process stuck at LineByLineTextDataset. training not starting | {
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"Hi, this is because it's tokenizing the entire dataset in a single thread, so it's bound to be a bit slow. This class caches the result though, so you will only have to do this step once!"
] | 1,595 | 1,596 | 1,596 | NONE | null | # ❓ Questions & Help
I am using below python code.
BASE_MODEL = "/data/nlp/bert-base-uncased"
CACHE_DIR = "/data/nlp/cache"
model = AutoModelWithLMHead.from_pretrained(BASE_MODEL,cache_dir=CACHE_DIR)
t_tokenizer = ByteLevelBPETokenizer()
t_tokenizer.train(files=paths, vocab_size=52_000, min_frequency=... | {
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https://api.github.com/repos/huggingface/transformers/issues/5943 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5943/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5943/comments | https://api.github.com/repos/huggingface/transformers/issues/5943/events | https://github.com/huggingface/transformers/pull/5943 | 663,145,104 | MDExOlB1bGxSZXF1ZXN0NDU0NjEyOTg4 | 5,943 | [Doc] explaining romanian postprocessing for MBART BLEU hacking | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5943?src=pr&el=h1) Report\n> Merging [#5943](https://codecov.io/gh/huggingface/transformers/pull/5943?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ccbf74a685ae24bd1a0ba1325e4e9a9d62bbb2fa&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5942 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5942/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5942/comments | https://api.github.com/repos/huggingface/transformers/issues/5942/events | https://github.com/huggingface/transformers/issues/5942 | 663,128,288 | MDU6SXNzdWU2NjMxMjgyODg= | 5,942 | Converting GPT2 logits to token ids directly | {
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"Hi! This is a very interesting question, I think you would have additional answers if you asked it over on the forums: https://discuss.huggingface.co"
] | 1,595 | 1,597 | 1,597 | NONE | null | ## System Info
Pop!_OS 20.04
Pytorch: 1.5.1
Transformers: 2.11.0
Python: 3.7.6
## Background Info
Here is the constructor and forward method for the model I am trying to build. Ultimately it will finetune GPT2 with a loss from a ngrams model I made. The loss isn't implemented yet because I want to test the GPT2... | {
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https://api.github.com/repos/huggingface/transformers/issues/5941 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5941/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5941/comments | https://api.github.com/repos/huggingface/transformers/issues/5941/events | https://github.com/huggingface/transformers/pull/5941 | 663,125,548 | MDExOlB1bGxSZXF1ZXN0NDU0NTk3MTMw | 5,941 | a transparent solution for DataParallel.gather not supporting ModelOutput (dataclass) | {
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"This solves the problems encountered after the model outputs PR and doesn't break anything in existing PyTorch behavior. I don't know how the rest of the team feels about patching over libraries methods though.\r\n\r\nOther possible fixes are:\r\n- breaking changes and just use dicts everywhere (supported by DataP... | 1,595 | 1,603 | 1,596 | CONTRIBUTOR | null | 1. Modify torch/nn/parallel/scatter_gather.gather function to support ModelOutput (dataclass) outputs. We override the torch.nn.DataParallel.gather method with this custom method.
2. remove previously committed workarounds
implementation: @sgugger
integration/testing: me
This should transparently solve http... | {
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https://api.github.com/repos/huggingface/transformers/issues/5940 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5940/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5940/comments | https://api.github.com/repos/huggingface/transformers/issues/5940/events | https://github.com/huggingface/transformers/issues/5940 | 663,107,210 | MDU6SXNzdWU2NjMxMDcyMTA= | 5,940 | What is the difference between the function of add_tokens() and add_special_tokens() in tokenizer | {
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"For some reasons those functions do not appear in the documentation, will have a look at why. The docstrings state of `add_special_tokens` states:\r\n\r\n> Add a dictionary of special tokens (eos, pad, cls...) to the encoder and link them to class attributes. If special tokens are NOT in the vocabulary, they are a... | 1,595 | 1,626 | 1,596 | 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/5939 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5939/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5939/comments | https://api.github.com/repos/huggingface/transformers/issues/5939/events | https://github.com/huggingface/transformers/issues/5939 | 663,101,014 | MDU6SXNzdWU2NjMxMDEwMTQ= | 5,939 | Can't use BatchEncoding in the fit function | {
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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"
] | 1,595 | 1,601 | 1,601 | NONE | null | I had a [few problems with the `transformers`](https://github.com/huggingface/transformers/issues/5555) and the related [`tensorflow` functionality](https://github.com/tensorflow/tensorflow/issues/41204), but now I've made some progress using trial and error method.
You can see the issue in this [gist](https://colab.... | {
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https://api.github.com/repos/huggingface/transformers/issues/5938 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5938/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5938/comments | https://api.github.com/repos/huggingface/transformers/issues/5938/events | https://github.com/huggingface/transformers/issues/5938 | 663,092,524 | MDU6SXNzdWU2NjMwOTI1MjQ= | 5,938 | How does AdamW weight_decay works for L2 regularization? | {
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"Hi there. General questions like this are probably better asked on the [forum](https://discuss.huggingface.co/). There is a research category that is exactly fitted for this. The `weight_decay` does correspond to the lambda you mention, though it's applied directly to the gradient, to avoid wasting compute with th... | 1,595 | 1,595 | 1,595 | NONE | null | Hello I have some questions about weight regularization in Adam.
Apparently the `weight_decay` in the AdamW function https://huggingface.co/transformers/main_classes/optimizer_schedules.html#adamw-pytorch has the same impact as an `L2 regularization`.
My questions are: is that parameter the same as `lambda` that we... | {
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https://api.github.com/repos/huggingface/transformers/issues/5937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5937/comments | https://api.github.com/repos/huggingface/transformers/issues/5937/events | https://github.com/huggingface/transformers/pull/5937 | 662,995,460 | MDExOlB1bGxSZXF1ZXN0NDU0NDg5MzQz | 5,937 | typos in seq2seq/readme | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5937?src=pr&el=h1) Report\n> Merging [#5937](https://codecov.io/gh/huggingface/transformers/pull/5937?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d32279438a73e71961f53baa4fb47d0f08c2984d&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | same-as-title. | {
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https://api.github.com/repos/huggingface/transformers/issues/5936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5936/comments | https://api.github.com/repos/huggingface/transformers/issues/5936/events | https://github.com/huggingface/transformers/issues/5936 | 662,993,827 | MDU6SXNzdWU2NjI5OTM4Mjc= | 5,936 | Easy selection of a learning rate scheduler when initializing a Trainer | {
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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"
] | 1,595 | 1,601 | 1,601 | NONE | null | # 🚀 Feature request
Please consider adding a new argument to the Trainer constructor to specify which among the available learning rate schedulers should be used during training.
## Motivation
Even though Trainer already has the option to specify a given optimizer and learning rate scheduler, you need to expl... | {
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https://api.github.com/repos/huggingface/transformers/issues/5935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5935/comments | https://api.github.com/repos/huggingface/transformers/issues/5935/events | https://github.com/huggingface/transformers/issues/5935 | 662,990,175 | MDU6SXNzdWU2NjI5OTAxNzU= | 5,935 | Getting "AttributeError: 'Tensor' object has no attribute 'numpy'" while fine-tuning BERT for NER | {
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"I run into the same error, installing Transformers with pip fix this (not a preferred solution but it works)\r\n`!pip install --upgrade --no-deps --force-reinstall transformers`\r\n\r\nfine-tuning BERT for NER also fail using `run_ner.py`. The error is \r\n```\r\nTraceback (most recent call last):\r\n File \"tran... | 1,595 | 1,595 | 1,595 | NONE | null | As per https://github.com/huggingface/transformers/tree/master/examples/token-classification after doing the required setup and installing required libraries, when I run
```
python3 run_tf_ner.py --data_dir ./ \
--labels ./labels.txt \
--model_name_or_path $BERT_MODEL \
--output_dir $OUTPUT_DIR \
--max_seq_len... | {
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https://api.github.com/repos/huggingface/transformers/issues/5934 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5934/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5934/comments | https://api.github.com/repos/huggingface/transformers/issues/5934/events | https://github.com/huggingface/transformers/issues/5934 | 662,857,729 | MDU6SXNzdWU2NjI4NTc3Mjk= | 5,934 | InvalidArgumentError: Cannot convert a Tensor of dtype resource to a NumPy array. | {
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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"
] | 1,595 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert):
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] my own modified scripts: (give details below)
The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [x] my own task or dataset: (g... | {
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https://api.github.com/repos/huggingface/transformers/issues/5933 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5933/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5933/comments | https://api.github.com/repos/huggingface/transformers/issues/5933/events | https://github.com/huggingface/transformers/issues/5933 | 662,792,766 | MDU6SXNzdWU2NjI3OTI3NjY= | 5,933 | How to get a language model score in BertModel? | {
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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"
] | 1,595 | 1,601 | 1,601 | 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/5932 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5932/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5932/comments | https://api.github.com/repos/huggingface/transformers/issues/5932/events | https://github.com/huggingface/transformers/pull/5932 | 662,787,434 | MDExOlB1bGxSZXF1ZXN0NDU0MzAzMzQw | 5,932 | Expose padding_strategy on squad processor to fix QA pipeline performance regression | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5932?src=pr&el=h1) Report\n> Merging [#5932](https://codecov.io/gh/huggingface/transformers/pull/5932?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d32279438a73e71961f53baa4fb47d0f08c2984d&el=desc) will **increase... | 1,595 | 1,597 | 1,595 | MEMBER | null | **Before this PR**:
The squad processor was padding the sequence up to the provided `max_length` parameter which results in a tensor with 512 tokens, mostly padding, making the QA pipeline very slow.
- QA Pipeline (`model="distilbert-base-uncased-distilled-squad"`) = 4.8secs
**After this PR**:
The processor wil... | {
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https://api.github.com/repos/huggingface/transformers/issues/5931 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5931/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5931/comments | https://api.github.com/repos/huggingface/transformers/issues/5931/events | https://github.com/huggingface/transformers/issues/5931 | 662,665,311 | MDU6SXNzdWU2NjI2NjUzMTE= | 5,931 | ALBERT tokenizer is not callable | {
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"Hi there, you should upgrade your transformers library to v3. The version you have does not have callable tokenizers.\r\n\r\nAlternatively, the docs for v2.3.0 are [here](https://huggingface.co/transformers/v2.3.0/). You can use the dropdown menu on the left (just under the hugging face) to change the version of t... | 1,595 | 1,595 | 1,595 | NONE | null | # 🐛 Bug
## Information
when running the follwoing given example:
from transformers import AlbertTokenizer, AlbertModel
import torch
tokenizer = AlbertTokenizer.from_pretrained('albert-base-v2')
model = AlbertModel.from_pretrained('albert-base-v2')
inputs = tokenizer("Hello, my dog is cute", return_tensors="pt... | {
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https://api.github.com/repos/huggingface/transformers/issues/5930 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5930/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5930/comments | https://api.github.com/repos/huggingface/transformers/issues/5930/events | https://github.com/huggingface/transformers/issues/5930 | 662,586,183 | MDU6SXNzdWU2NjI1ODYxODM= | 5,930 | code copy button on the website doesn't copy `...` lines | {
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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 seems to have been fixed in sphinx - I re-checked and it works now."
] | 1,595 | 1,602 | 1,601 | CONTRIBUTOR | null | # 🐛 Bug
## Information
When the copy button is clicked on a code like [this](https://huggingface.co/transformers/quicktour.html#using-the-tokenizer):
```
>>> pt_batch = tokenizer(
... ["We are very happy to show you the 🤗 Transformers library.", "We hope you don't hate it."],
... padding=True,
..... | {
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https://api.github.com/repos/huggingface/transformers/issues/5929 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5929/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5929/comments | https://api.github.com/repos/huggingface/transformers/issues/5929/events | https://github.com/huggingface/transformers/pull/5929 | 662,582,143 | MDExOlB1bGxSZXF1ZXN0NDU0MTIzMTA0 | 5,929 | Add DeBERTa model | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5929?src=pr&el=h1) Report\n> Merging [#5929](https://codecov.io/gh/huggingface/transformers/pull/5929?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/1fc4de69ed024e18b88cb6f040021630599de2f7?el=desc) will **decrease... | 1,595 | 1,612 | 1,601 | CONTRIBUTOR | null | Add DeBERTa model to hf transformers. DeBERTa applies two techniques to improve RoBERTa, one is disentangled attention, the other is enhanced mask decoder. With 80GB training data, DeBERTa outperform RoBERTa on a majority of NLU tasks, e.g. SQUAD, MNLI and RACE. Paper link: https://arxiv.org/abs/2006.03654 | {
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https://api.github.com/repos/huggingface/transformers/issues/5928 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5928/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5928/comments | https://api.github.com/repos/huggingface/transformers/issues/5928/events | https://github.com/huggingface/transformers/issues/5928 | 662,451,121 | MDU6SXNzdWU2NjI0NTExMjE= | 5,928 | Feed forward chunking for all pretrained models | {
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"Any opinions here? I will create a PR if there is interest and would like to get your ideas and suggestions. @patrickvonplaten @sshleifer ",
"@patrickvonplaten would be the point person and he is on Vacation until August 3.\r\nIn the interim, if you want to start working on this go right ahead. Make sure it's ac... | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | Based on this card: [Feed forward chunking](https://github.com/huggingface/transformers/projects/9#card-39483681)
@patrickvonplaten
I'd like to help contribute and implement this for all the other models if this is still pending? | {
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https://api.github.com/repos/huggingface/transformers/issues/5927 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5927/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5927/comments | https://api.github.com/repos/huggingface/transformers/issues/5927/events | https://github.com/huggingface/transformers/pull/5927 | 662,428,082 | MDExOlB1bGxSZXF1ZXN0NDUzOTg1Mzgw | 5,927 | [CI] self-scheduled runner tests examples/ | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5927?src=pr&el=h1) Report\n> Merging [#5927](https://codecov.io/gh/huggingface/transformers/pull/5927?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4781afd045b4722e7f28347f1c4f42a56a4550e8&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5926/comments | https://api.github.com/repos/huggingface/transformers/issues/5926/events | https://github.com/huggingface/transformers/pull/5926 | 662,243,987 | MDExOlB1bGxSZXF1ZXN0NDUzODIwMzU2 | 5,926 | DataParallel fix: multi gpu evaluation | {
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"Yes, this was missing in #5733, thanks for adding it!"
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | The DataParallel training was fixed in https://github.com/huggingface/transformers/pull/5733, this commit also fixes the evaluation. It's more convenient when the user enables both `do_train` and `do_eval`. | {
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https://api.github.com/repos/huggingface/transformers/issues/5925 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5925/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5925/comments | https://api.github.com/repos/huggingface/transformers/issues/5925/events | https://github.com/huggingface/transformers/pull/5925 | 662,164,692 | MDExOlB1bGxSZXF1ZXN0NDUzNzQ5MjUw | 5,925 | Allow user to see actual error if a download has failed | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5925?src=pr&el=h1) Report\n> Merging [#5925](https://codecov.io/gh/huggingface/transformers/pull/5925?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/32883b310ba30d72e67bb2ebb5847888f03a90a8&el=desc) will **decrease... | 1,595 | 1,601 | 1,601 | NONE | null | Fixes #5869. Adds new logic of exception handling.
* If there was a caught exception in `cached_path` during download, and `force_download` is True, then raise it
* If `force_download` is False, save this exception and raise it later, it file is not in local cache
* If download exception in `cached_path` was raised,... | {
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https://api.github.com/repos/huggingface/transformers/issues/5924 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5924/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5924/comments | https://api.github.com/repos/huggingface/transformers/issues/5924/events | https://github.com/huggingface/transformers/pull/5924 | 662,133,341 | MDExOlB1bGxSZXF1ZXN0NDUzNzIxMzk1 | 5,924 | Create README.md | {
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https://api.github.com/repos/huggingface/transformers/issues/5923 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5923/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5923/comments | https://api.github.com/repos/huggingface/transformers/issues/5923/events | https://github.com/huggingface/transformers/issues/5923 | 662,124,693 | MDU6SXNzdWU2NjIxMjQ2OTM= | 5,923 | how (if at all) are those models related... | {
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"I think they are not related at all.\r\nWhich models are you talking about?",
"Hi! :)\n\nI am talking about the implementation that is used for the text summarization example under transformers/examples and a BERT-based implementation that is described here:\n\n\nhttps://paperswithcode.com/paper/text-summarizati... | 1,595 | 1,595 | 1,595 | NONE | null | https://github.com/huggingface/transformers/tree/master/examples/seq2seq
and...
https://github.com/nlpyang/PreSumm
are they the same? | {
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https://api.github.com/repos/huggingface/transformers/issues/5922 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5922/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5922/comments | https://api.github.com/repos/huggingface/transformers/issues/5922/events | https://github.com/huggingface/transformers/pull/5922 | 662,107,907 | MDExOlB1bGxSZXF1ZXN0NDUzNjk4OTQy | 5,922 | Avoid unnecessary warnings when loading pretrained model | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5922?src=pr&el=h1) Report\n> Merging [#5922](https://codecov.io/gh/huggingface/transformers/pull/5922?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/9827d666ebdf959aa9dfe3627ccb80592b378b77&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | COLLABORATOR | null | Currently, the following commands will produce a lot of warnings, because some weights are not saved with the model by design.
GPT-2 (see #5800, #5814)
```
from transformers import GPT2LMHeadModel
model = GPT2LMHeadModel.from_pretrained('gpt2')
```
T5 (see #3553, #5348)
```
from transformers import T5ForCon... | {
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https://api.github.com/repos/huggingface/transformers/issues/5921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5921/comments | https://api.github.com/repos/huggingface/transformers/issues/5921/events | https://github.com/huggingface/transformers/pull/5921 | 662,107,312 | MDExOlB1bGxSZXF1ZXN0NDUzNjk4NDEy | 5,921 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5921?src=pr&el=h1) Report\n> Merging [#5921](https://codecov.io/gh/huggingface/transformers/pull/5921?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/32883b310ba30d72e67bb2ebb5847888f03a90a8&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | - Maybe the result of this query answers the question You did some days ago @julien-c ;-) | {
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