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https://api.github.com/repos/huggingface/transformers/issues/7521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7521/comments | https://api.github.com/repos/huggingface/transformers/issues/7521/events | https://github.com/huggingface/transformers/pull/7521 | 713,098,848 | MDExOlB1bGxSZXF1ZXN0NDk2NDc1MDUz | 7,521 | [s2s] trainer scripts: Remove --run_name, thanks sylvain! | {
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"You're welcome ;-)",
"cc @patil-suraj "
] | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this with a d... | {
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https://api.github.com/repos/huggingface/transformers/issues/7520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7520/comments | https://api.github.com/repos/huggingface/transformers/issues/7520/events | https://github.com/huggingface/transformers/issues/7520 | 713,095,105 | MDU6SXNzdWU3MTMwOTUxMDU= | 7,520 | MultiGPU Trainer: each processes uses more memory than 1 GPU job | {
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"This seems to be a duplicate of #7169, finishing something and will investigate now that I have a proper multi-GPU steup.",
"Yes, most likely a duplicate.\r\nOne clue might be the call to `DataParallel` right before the call to `DistributedDataParallel`. ",
"Investigation seems to lead to: this is normal to ha... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | I tried to run an 8 GPU training job, and it OOM'd, so I investigated whether it could run on 1 GPU. It could!
So here are two commands, the first one says that it is using 14814MiB on GPU 0.
The second says it is using
`15594MiB` on each.
This doesn't happen in PL, which leads me to believe that `distributed_... | {
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https://api.github.com/repos/huggingface/transformers/issues/7519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7519/comments | https://api.github.com/repos/huggingface/transformers/issues/7519/events | https://github.com/huggingface/transformers/issues/7519 | 713,052,762 | MDU6SXNzdWU3MTMwNTI3NjI= | 7,519 | XLNet finetuning | {
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"Hello! Could you run `transformers-cli env` in your environment and paste the result here? Thank you!",
"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"
] | 1,601 | 1,607 | 1,607 | NONE | null | I am trying to fine-tune XLNet model and it used work fine but I think huggingface update some classes and I ran through this error:
RuntimeError: Trying to create tensor with negative dimension -1: [-1, 768]
![xlnet](https://user-images.githubusercontent.com/55197626/94844162-d030f780-03eb-11eb-84e4-e72deaaa71ec... | {
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https://api.github.com/repos/huggingface/transformers/issues/7518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7518/comments | https://api.github.com/repos/huggingface/transformers/issues/7518/events | https://github.com/huggingface/transformers/pull/7518 | 713,036,706 | MDExOlB1bGxSZXF1ZXN0NDk2NDIxODg2 | 7,518 | Fix seq2seq example test | {
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#7490 removed the log_history save since it is now saved along inside the `TrainerState`. I didn't catch it was used in the seq2seq examples (must be due to a more recent PR because the tests were passing) so this PR adapts the part that loads `log_history` in those tests to fix them. | {
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https://api.github.com/repos/huggingface/transformers/issues/7517 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7517/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7517/comments | https://api.github.com/repos/huggingface/transformers/issues/7517/events | https://github.com/huggingface/transformers/issues/7517 | 713,018,736 | MDU6SXNzdWU3MTMwMTg3MzY= | 7,517 | Overflow error: Can't convert negative value to unsigned it [RAG Model] | {
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"Hey @sashank06 - could you please post a full code snippet so that we can reproduce your error? \r\n\r\nAlso @lhoestq - this looks like one of your favorite errors haha ",
"It's already fixed on `datasets` master branch, I'm going to do a release soon :) ",
"```\r\nimport ast\r\nimport logging\r\nimport os\r\... | 1,601 | 1,604 | 1,604 | NONE | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Linux-4.14.186-146.268.amzn2.x86_64-x86_64-with-glibc2.10
- Python version: 3.7.9
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7516 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7516/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7516/comments | https://api.github.com/repos/huggingface/transformers/issues/7516/events | https://github.com/huggingface/transformers/issues/7516 | 713,018,672 | MDU6SXNzdWU3MTMwMTg2NzI= | 7,516 | huggingface transformer running on CPU behind celery/redis doens't work (but works by itself) | {
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"Anwer is included in the main post. Thanks.",
"Another way that \"fixed\" the problem for me was setting the number of torch threads to 1: torch.set_num_threads(1) BEFORE loading the model in the worker.",
"Thanks, man, it took me a day to find your comment as well. 😆 "
] | 1,601 | 1,665 | 1,601 | NONE | null | Hello,
I am actually creating this for posterity because it took me a day to figure it out and if anybody else has this issue, hopefully this helps.
I am running a Bert2Bert EncoderDecoderModel inside a docker container, running behind celery that is getting jobs through redis. This is in a production test envir... | {
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https://api.github.com/repos/huggingface/transformers/issues/7515 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7515/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7515/comments | https://api.github.com/repos/huggingface/transformers/issues/7515/events | https://github.com/huggingface/transformers/pull/7515 | 713,002,883 | MDExOlB1bGxSZXF1ZXN0NDk2MzkzMzQ2 | 7,515 | [s2s] fix nltk pytest race condition with FileLock | {
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when `nltk.download('punkt')` is run in multiple processes, bad things happen. | {
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https://api.github.com/repos/huggingface/transformers/issues/7514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7514/comments | https://api.github.com/repos/huggingface/transformers/issues/7514/events | https://github.com/huggingface/transformers/issues/7514 | 713,002,167 | MDU6SXNzdWU3MTMwMDIxNjc= | 7,514 | [Longformer] Output both local attentions and global attentions when `output_attentions=True` -> Good Second Issue | {
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"I am working on a pull request to address this. I don't see any major challenge so far, but this made me realize how much `attentions` in Bert-like models and in Longformers are different. Why not replace `attentions` in the Longformer by `local_attentions`?\r\n\r\nThis means that the interface of Longformers woul... | 1,601 | 1,616 | 1,604 | MEMBER | null | # 🚀 Feature request
**Good Second Issue** - A more advanced issue for contributors who want to dive more into Longformer's attention mechanism.
Longformer currently only outputs global attentions, which is suboptimal because users might be interested in the local attentions as well. I propose to change the "outp... | {
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https://api.github.com/repos/huggingface/transformers/issues/7513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7513/comments | https://api.github.com/repos/huggingface/transformers/issues/7513/events | https://github.com/huggingface/transformers/pull/7513 | 712,987,292 | MDExOlB1bGxSZXF1ZXN0NDk2MzgwNDE0 | 7,513 | [Attention Mask] Fix data type | {
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Fix data type error introduced by PR #7474. My bad! | {
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"I agree! Deprecation until v4.0.0 seems like a reasonable solution,",
"(We'll need at least one release with it before 4.0.0 if we want to remove the deprecation at 4.0.0)",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occur... | 1,601 | 1,607 | 1,607 | MEMBER | null | For whatever reason XLNet accepts both an `attention_mask` and a `input_mask`. As far as I understand `attention_mask` = 1 - `input_mask`. I don't think having the same input twice (one is the inverse of the other) has any advantage. We should remove `input_mask` IMO (first depreciate, then remove). Also, `attention_ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/7511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7511/comments | https://api.github.com/repos/huggingface/transformers/issues/7511/events | https://github.com/huggingface/transformers/issues/7511 | 712,953,553 | MDU6SXNzdWU3MTI5NTM1NTM= | 7,511 | [Transfo-XL] Impossible to pass `attention_mask` to model | {
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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"
] | 1,601 | 1,607 | 1,607 | MEMBER | null | It is not possible to forward an `attention_mask` to transfo-xl because Transfo-XL's forward function does not accept an `attention_mask`. This makes it impossible to do batch generation with Transfo-XL for example.
IMO, this could be implemented quite easily. | {
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https://api.github.com/repos/huggingface/transformers/issues/7510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7510/comments | https://api.github.com/repos/huggingface/transformers/issues/7510/events | https://github.com/huggingface/transformers/issues/7510 | 712,952,126 | MDU6SXNzdWU3MTI5NTIxMjY= | 7,510 | [Reformer, Longformer, Roberta, GPT2, CTRL] attention_mask should be at second argument | {
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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"
] | 1,601 | 1,607 | 1,607 | MEMBER | null | Reformer, Longformer and Roberta have some models where the `attention_mask` is not at the second position. IMO, this was not done on purpose, but sloppy implementation. In order to use `torchscript` with `attention_mask`, the `forward()` args should be refactored. This is a breaking change however.
Additionally, GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/7509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7509/comments | https://api.github.com/repos/huggingface/transformers/issues/7509/events | https://github.com/huggingface/transformers/pull/7509 | 712,945,290 | MDExOlB1bGxSZXF1ZXN0NDk2MzQ1MTU3 | 7,509 | [examples/s2s] clean up finetune_trainer | {
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"Also \r\nhttps://github.com/huggingface/transformers/blob/a42f62d34f7b2acdb7298e586adbe9f0f28864ea/examples/seq2seq/seq2seq_trainer.py#L56\r\n\r\nwe are using `model.config` here, this breaks on multi-gpu, right ?\r\nand IMO we might not need this `assert` here ",
"```\r\nself.pad_token_id = self.model.config.pa... | 1,601 | 1,601 | 1,601 | MEMBER | null | This PR
1. moves the `build_compute_metrics_fn` to `utils.py` because we need to be able to import it for `hparam` search with `Seq2SeqTrainer`. Could have made it top level but since rest of the helpers are in `utils.py`, moved it there.
2. Also moves the `Seq2SeqDataCollator` to `utils` as the dataset is also ther... | {
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https://api.github.com/repos/huggingface/transformers/issues/7508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7508/comments | https://api.github.com/repos/huggingface/transformers/issues/7508/events | https://github.com/huggingface/transformers/pull/7508 | 712,876,140 | MDExOlB1bGxSZXF1ZXN0NDk2Mjg2ODQ1 | 7,508 | Fix Ray Tune progress_reporter kwarg | {
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"Sorry by the way for not catching these at the same time. This should be all for now though!",
"Oh I remembered seeing this last week and thinking: This is wrong, I should fix it... but forgot...\r\nThanks for following through!"
] | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | # What does this PR do?
There's a small error in the Ray Tune kwarg parsing: The expected argument name is `progress_reporter`, not `reporter`.
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https://api.github.com/repos/huggingface/transformers/issues/7507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7507/comments | https://api.github.com/repos/huggingface/transformers/issues/7507/events | https://github.com/huggingface/transformers/pull/7507 | 712,843,118 | MDExOlB1bGxSZXF1ZXN0NDk2MjU4ODEz | 7,507 | Report Tune metrics in final evaluation | {
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"Just to be sure, is it also backward compatible with older versions of Ray Tune?",
"Yes! Return values were never required, and in fact disregarded until recently.\n\nOn October 1, 2020 2:38:00 PM GMT+01:00, Sylvain Gugger <notifications@github.com> wrote:\n>Just to be sure, is it also backward compatible with o... | 1,601 | 1,702 | 1,601 | CONTRIBUTOR | null | # What does this PR do?
This PR makes Ray Tune's tuning objective function report all metrics, not just the objective, in the final evaluation step. It also gets rid of the (unnecessary) return value. With these changes the training objective is fully compatible with Ray Tune's recently introduced strict metric chec... | {
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https://api.github.com/repos/huggingface/transformers/issues/7506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7506/comments | https://api.github.com/repos/huggingface/transformers/issues/7506/events | https://github.com/huggingface/transformers/pull/7506 | 712,825,406 | MDExOlB1bGxSZXF1ZXN0NDk2MjQzODE4 | 7,506 | configuration_utils: fix handling of `id2labels` | {
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"Hi, as you can see in [this example NER configuration file](https://s3.amazonaws.com/models.huggingface.co/bert/dslim/bert-base-NER/config.json), the `id2label` and `label2id` are actually dictionaries. \r\n\r\nInstead of doing the change you propose, changing the documentation to reflect that would be better. Tha... | 1,601 | 1,602 | 1,602 | NONE | null | # What does this PR do?
The parameter `id2labels` of class `PretrainedConfig` is documented as `List[str]`, so enumerate() should be used rather
than dict.items() in the constructor.
Since a lot of code (including test code) passes `id2labels` as a dict, enumerate() is only used if it is a list indeed. | {
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https://api.github.com/repos/huggingface/transformers/issues/7505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7505/comments | https://api.github.com/repos/huggingface/transformers/issues/7505/events | https://github.com/huggingface/transformers/pull/7505 | 712,824,997 | MDExOlB1bGxSZXF1ZXN0NDk2MjQzNDg2 | 7,505 | added script for fine-tuning roberta for sentiment analysis task | {
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Added a script in community notebooks that fine-tune's Roberta for the sentiment analysis task.
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https://api.github.com/repos/huggingface/transformers/issues/7504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7504/comments | https://api.github.com/repos/huggingface/transformers/issues/7504/events | https://github.com/huggingface/transformers/pull/7504 | 712,822,625 | MDExOlB1bGxSZXF1ZXN0NDk2MjQxNTk1 | 7,504 | added script for fine-tuning roberta for sentiment analysis task | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/7503 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7503/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7503/comments | https://api.github.com/repos/huggingface/transformers/issues/7503/events | https://github.com/huggingface/transformers/issues/7503 | 712,794,608 | MDU6SXNzdWU3MTI3OTQ2MDg= | 7,503 | Turning the SQuAD dataset class into an iterator to save ram and redistribute time | {
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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"
] | 1,601 | 1,607 | 1,607 | NONE | null | # 🚀 Feature request
When I'm using the SquadDataset class I sometimes run out of RAM in my Colab session. It also takes a lot of time to process the data, so if we could just preprocess the data when using the __getitem__. I think we should turn the examples into an iterator rather than a list. And when using the __g... | {
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https://api.github.com/repos/huggingface/transformers/issues/7502 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7502/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7502/comments | https://api.github.com/repos/huggingface/transformers/issues/7502/events | https://github.com/huggingface/transformers/issues/7502 | 712,790,184 | MDU6SXNzdWU3MTI3OTAxODQ= | 7,502 | Functionality to pass first few tokens as input to the decoder in T5 model | {
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https://api.github.com/repos/huggingface/transformers/issues/7501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7501/comments | https://api.github.com/repos/huggingface/transformers/issues/7501/events | https://github.com/huggingface/transformers/pull/7501 | 712,773,557 | MDExOlB1bGxSZXF1ZXN0NDk2MjAxNDMz | 7,501 | Add GPT2ForSequenceClassification based on DialogRPT | {
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This PR implements `GPT2ForSequenceClassification` in order to support DialogRPT.
Closes https://github.com/huggingface/transformers/issues/7493.
`GPT2ForSequenceClassification` uses the last token in order to do the classification, as other causal models (e.g. GPT-1) do.
Since it does... | {
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https://api.github.com/repos/huggingface/transformers/issues/7500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7500/comments | https://api.github.com/repos/huggingface/transformers/issues/7500/events | https://github.com/huggingface/transformers/issues/7500 | 712,749,292 | MDU6SXNzdWU3MTI3NDkyOTI= | 7,500 | Trucated Outputs while finetuning 'bart-base' on XSUM [Summarization Task] | {
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"Try adding `decoder_start_token_id=2` to `best_tfmr/config.json` and let me know if that changes anything!",
"I just did the above-mentioned change and decoded (run_eval.py) without training any further. Still, the issue persists. ",
"Ok, you could try re-training/training more with new training code. We can't... | 1,601 | 1,602 | 1,602 | NONE | null | Hey!
I am trying to finetune bart-base model on the XSUM using standard commands. In the test-generations.txt file, the outputs I am getting after a few epochs (2-3) are truncated arbitrarily. Here is the exact command I am using:
`./finetune.sh --data_dir $XSUM_DIR --train_batch_size=8 --eval_batch_size=8 --output_d... | {
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https://api.github.com/repos/huggingface/transformers/issues/7499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7499/comments | https://api.github.com/repos/huggingface/transformers/issues/7499/events | https://github.com/huggingface/transformers/issues/7499 | 712,736,345 | MDU6SXNzdWU3MTI3MzYzNDU= | 7,499 | german distilbert not available? | {
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"Or is this model only available for pytorch and not TF?",
"https://huggingface.co/distilbert-base-german-cased\r\n\r\n^^ currently only the Pytorch weights, but you can load into TF pretty easily (follow the README/doc). If needed we can upload the converted TF weights (cc @stefan-it who I believe trained this m... | 1,601 | 1,601 | 1,601 | NONE | null | I try using the distilbert-base-german-cased
which is also listed here
https://huggingface.co/transformers/pretrained_models.html
but I get the message that this model is not avaiable. Seems also not here listed?
https://huggingface.co/models?filter=tf,de
Is this just currently the case? | {
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https://api.github.com/repos/huggingface/transformers/issues/7498 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7498/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7498/comments | https://api.github.com/repos/huggingface/transformers/issues/7498/events | https://github.com/huggingface/transformers/pull/7498 | 712,708,230 | MDExOlB1bGxSZXF1ZXN0NDk2MTQ1MjI2 | 7,498 | Update README.md | {
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# What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome c... | {
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https://api.github.com/repos/huggingface/transformers/issues/7497 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7497/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7497/comments | https://api.github.com/repos/huggingface/transformers/issues/7497/events | https://github.com/huggingface/transformers/issues/7497 | 712,545,062 | MDU6SXNzdWU3MTI1NDUwNjI= | 7,497 | How to generate data using beam search from a custom gpt2 model? | {
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"Here's an example using beam search with GPT-2:\r\n\r\n```py\r\nfrom transformers import GPT2LMHeadModel, GPT2Tokenizer\r\n\r\ntokenizer = GPT2Tokenizer.from_pretrained(\"gpt2\")\r\nmodel = GPT2LMHeadModel.from_pretrained(\"gpt2\")\r\n\r\ninput_ids = tokenizer(\"The day starts with\", return_tensors='pt')['input_i... | 1,601 | 1,655 | 1,607 | 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/7496 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7496/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7496/comments | https://api.github.com/repos/huggingface/transformers/issues/7496/events | https://github.com/huggingface/transformers/issues/7496 | 712,543,515 | MDU6SXNzdWU3MTI1NDM1MTU= | 7,496 | BertforSequenceClassification MSELoss() without normalizing using sigmoid/softmax | {
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"> * `transformers` version: 3.3.0\r\n> \r\n> * Platform: Darwin-18.7.0-x86_64-i386-64bit\r\n> \r\n> * Python version: 3.7.4\r\n> \r\n> * PyTorch version (GPU?): 1.6.0 (False)\r\n> \r\n> * Tensorflow version (GPU?): not installed (NA)\r\n> \r\n> * Using GPU in script?: No\r\n> \r\n> * Us... | 1,601 | 1,619 | 1,619 | NONE | null | - `transformers` version: 3.3.0
- Platform: Darwin-18.7.0-x86_64-i386-64bit
- Python version: 3.7.4
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
@LysandreJik @sshleifer
I'm trying to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7495 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7495/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7495/comments | https://api.github.com/repos/huggingface/transformers/issues/7495/events | https://github.com/huggingface/transformers/issues/7495 | 712,417,857 | MDU6SXNzdWU3MTI0MTc4NTc= | 7,495 | quick questions about the `BertModelLMHeadModel`. | {
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"Bert is a Masked Lanuage Model. ",
"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"
] | 1,601 | 1,607 | 1,607 | NONE | null | Hello,
I have a few questions about the `BertModelLMHeadModel`:
1. Is `BertModelLMHeadModel` used to conduct the causal language modeling (next token prediction), as it is the case for the `GPT2LMHeadModel`?
2. For `GPT2LMHeadModel`, I can just specify `labels = input_ids` for convenience. I just specify the `l... | {
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https://api.github.com/repos/huggingface/transformers/issues/7494 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7494/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7494/comments | https://api.github.com/repos/huggingface/transformers/issues/7494/events | https://github.com/huggingface/transformers/issues/7494 | 712,417,025 | MDU6SXNzdWU3MTI0MTcwMjU= | 7,494 | Is the multiple-choice head for the pre-trained `LongformerForMultipleChoice` model pre-trained? | {
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"Hi! This depends on the checkpoint. If you're using a checkpoint pre-trained on multiple-choice, then it's very possible that it is pre-trained. If you're using a checkpoint pre-trained on another task, it might not be pre-trained.\r\n\r\nYou should be wary of the task on which the model was trained when leveragin... | 1,601 | 1,601 | 1,601 | NONE | null | Hello,
Is the multiple-choice head for the pre-trained `LongformerForMultipleChoice` model pre-trained as well?
I am asking because like for the pre-trained `GPT2DoubleHeadsModel`, the main body of the model is trained but its multiple-choice head is not.
Is the multiple-choice head for the pre-trained `Longformer... | {
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https://api.github.com/repos/huggingface/transformers/issues/7493 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7493/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7493/comments | https://api.github.com/repos/huggingface/transformers/issues/7493/events | https://github.com/huggingface/transformers/issues/7493 | 712,375,714 | MDU6SXNzdWU3MTIzNzU3MTQ= | 7,493 | Sharing Microsoft's DialogRPT (new dialog ranking model) | {
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"Hi @golsun! Thanks a lot for opening an issue and offering to contribute it!\r\n\r\nIndeed, there is no `GPT2ForSequenceClassification` model in the library (yet!) I'm adding it right now with the goal of supporting DialogRPT. I'll get back to you in a bit.",
"Hi @golsun! `GPT2ForSequenceClassification` has been... | 1,601 | 1,602 | 1,602 | NONE | null | # 🌟 New model addition
## Model description
Thanks for the awesome work!
[DialogRPT](https://github.com/golsun/DialogRPT) (Dialog Ranking Pretrained Transformers) is a set of GPT-2 based dialogue ranking models recently released with an [EMNLP paper](https://arxiv.org/abs/2009.06978) by Microsoft Research. It... | {
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https://api.github.com/repos/huggingface/transformers/issues/7492 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7492/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7492/comments | https://api.github.com/repos/huggingface/transformers/issues/7492/events | https://github.com/huggingface/transformers/issues/7492 | 712,365,525 | MDU6SXNzdWU3MTIzNjU1MjU= | 7,492 | `run_squad_trainer` doesn't actually use a Rust tokenizer + errors in `squad_convert_example_to_features` when using a Rust tokenizer | {
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"Hello! Indeed, the Rust tokenizers are not handled by the SQuAD data processing. This is one item we would like to resolve when refactoring the data processing methods, which will soon be implemented directly in `datasets` rather than in `transformers`.\r\n\r\nThank you for your detailed issue!",
"For what it's ... | 1,601 | 1,608 | 1,608 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1
- Platform: Linux-4.14.35-1902.303.4.1.el7uek.x86_64-x86_64-with-oracle-7.8
- Python version: 3.6.... | {
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https://api.github.com/repos/huggingface/transformers/issues/7491 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7491/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7491/comments | https://api.github.com/repos/huggingface/transformers/issues/7491/events | https://github.com/huggingface/transformers/pull/7491 | 712,337,486 | MDExOlB1bGxSZXF1ZXN0NDk1ODM2MDg1 | 7,491 | Update README.md | {
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"Nice! FYI we'll have model versioning rolled out in ~1 month or so"
] | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | @julien-c
Model is now fine-tuned on Transformers 3.1.0. Previous model fine-tuned on Transformers 2.3.0 is out-of-date. | {
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https://api.github.com/repos/huggingface/transformers/issues/7490 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7490/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7490/comments | https://api.github.com/repos/huggingface/transformers/issues/7490/events | https://github.com/huggingface/transformers/pull/7490 | 712,288,413 | MDExOlB1bGxSZXF1ZXN0NDk1Nzk1MTkx | 7,490 | Clean the Trainer state | {
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"Tests pass in a multi-GPU environment and the specific `test_distributed_trainer` passes too. There is just one test that requires a batch size not too big so I manually skip it if there are more than 2 GPUs.",
"Nice PR!!!\r\n\r\nI think it is a nice addition. Only the `global_step` won't be necessary as it is a... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | # What does this PR do?
This PRs clean the fields used inside the `Trainer` to store state and gather them all in a clear class named `TrainerState` that is typed so the user knows exactly what they can access when subclassing and overriding methods (and for my next step, when writing callbacks).
As a result, the... | {
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https://api.github.com/repos/huggingface/transformers/issues/7489 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7489/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7489/comments | https://api.github.com/repos/huggingface/transformers/issues/7489/events | https://github.com/huggingface/transformers/issues/7489 | 712,280,644 | MDU6SXNzdWU3MTIyODA2NDQ= | 7,489 | Use of global attention of Longformer when generating | {
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"Hey @alexyalunin - you are completely right! I'm working on a bigger generation refactor at the moment to better handle cases like this. \r\n\r\nFor this case, I would propose to modify the code yourself and do a little hack, something along the lines \r\n\r\n```python \r\nif \"global_attention_mask\" in model_kwa... | 1,601 | 1,609 | 1,609 | NONE | null | I'm training Longformer2Roberta, the encoder part of this Seq2Seq model is Longformer. The one feature Longformer brings is global attention, I found the use of it during training, but it is never used at the point of generation. I guess it should be used somewhere here https://github.com/huggingface/transformers/blob/... | {
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https://api.github.com/repos/huggingface/transformers/issues/7488 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7488/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7488/comments | https://api.github.com/repos/huggingface/transformers/issues/7488/events | https://github.com/huggingface/transformers/pull/7488 | 712,276,643 | MDExOlB1bGxSZXF1ZXN0NDk1Nzg1MTkz | 7,488 | [s2s] fix kwargs style | {
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https://api.github.com/repos/huggingface/transformers/issues/7487 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7487/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7487/comments | https://api.github.com/repos/huggingface/transformers/issues/7487/events | https://github.com/huggingface/transformers/pull/7487 | 712,212,260 | MDExOlB1bGxSZXF1ZXN0NDk1NzMwNTMz | 7,487 | [s2s] Fix t5 warning for distributed eval | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/7486 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7486/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7486/comments | https://api.github.com/repos/huggingface/transformers/issues/7486/events | https://github.com/huggingface/transformers/issues/7486 | 712,205,021 | MDU6SXNzdWU3MTIyMDUwMjE= | 7,486 | Using BERT for spelling correction | {
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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"
] | 1,601 | 1,607 | 1,607 | NONE | null | I am currently working on the task of spelling correction. I used BERT by masking the misspelled word to get predictions with their probability score. However, the results are not so good. Hence, I want to fine-tune the BERT. For this spelling correction task, I would like to know which is the suitable method to fine-t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7485 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7485/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7485/comments | https://api.github.com/repos/huggingface/transformers/issues/7485/events | https://github.com/huggingface/transformers/issues/7485 | 712,140,918 | MDU6SXNzdWU3MTIxNDA5MTg= | 7,485 | Tenosrflow Loading the saved Model For GPT2 | {
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"~Hi! What's the problem?~ Edited your message so that we can read it.\r\n\r\n",
"Could you put the error you had, as well as the environment? i.e., everything asked in the issue template.",
"I am running it in colab CPU\r\n\r\n`TypeError` Traceback (most recent call last)\r\n<ip... | 1,601 | 1,613 | 1,607 | NONE | null | ```py
from time import time
from transformers import TFGPT2LMHeadModel, GPT2Tokenizer
import tensorflow as tf
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
model = TFGPT2LMHeadModel.from_pretrained('gpt2')
text = "What are you doing after you have finished working?"
generated = tokenizer.encode(text)
co... | {
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https://api.github.com/repos/huggingface/transformers/issues/7484 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7484/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7484/comments | https://api.github.com/repos/huggingface/transformers/issues/7484/events | https://github.com/huggingface/transformers/pull/7484 | 712,139,277 | MDExOlB1bGxSZXF1ZXN0NDk1NjY4NTA0 | 7,484 | Bump isort version. | {
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Had some problem on my local setup with isort wanting to change `test_modeling_deberta.py`. Updating to 5.5.4 (from 5.4.2) fixed the issue so I think we should pin our setup to it. | {
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https://api.github.com/repos/huggingface/transformers/issues/7483 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7483/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7483/comments | https://api.github.com/repos/huggingface/transformers/issues/7483/events | https://github.com/huggingface/transformers/pull/7483 | 712,136,077 | MDExOlB1bGxSZXF1ZXN0NDk1NjY1ODc4 | 7,483 | Add forgotten return_dict argument in the docs | {
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The documentation wasn't updated to `return_dict=True` not being the default for all models. This PR fixes that.
Fixes #7482 | {
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https://api.github.com/repos/huggingface/transformers/issues/7482 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7482/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7482/comments | https://api.github.com/repos/huggingface/transformers/issues/7482/events | https://github.com/huggingface/transformers/issues/7482 | 712,097,241 | MDU6SXNzdWU3MTIwOTcyNDE= | 7,482 | Issue with Summary of the tasks - Named Entity Recognition in Docs | {
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"Indeed, this example (and all the others) is missing a `return_dict=True` in the call to `from_pretrained`. Thanks for flagging, the PR mentioned above will fix this."
] | 1,601 | 1,601 | 1,601 | NONE | null | - `transformers` version: 3.3.1
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.7.3
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help
examples/token-classi... | {
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https://api.github.com/repos/huggingface/transformers/issues/7481 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7481/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7481/comments | https://api.github.com/repos/huggingface/transformers/issues/7481/events | https://github.com/huggingface/transformers/pull/7481 | 712,080,125 | MDExOlB1bGxSZXF1ZXN0NDk1NjIxMTQy | 7,481 | Minor dead code clean-up | {
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"Closing as it seems the changes were added in another PR"
] | 1,601 | 1,606 | 1,606 | CONTRIBUTOR | null | Hello,
I am not sure how sensitive you generally are about dead code in the repository. I have identified a few places with dead code, where I believe a clean-up would improve readability.
- removal of a couple of unused dropouts I came across in Albert and XLNet
- removal of an unused code block for relative at... | {
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"Yes this is a known issue with our current system that will be fixed in ~1 month.\r\n\r\nIn the meantime, if you can upload to a different S3 bucket I can cp the files to your account on ours. Would you be able to do this?",
"I don't have access to S3. However, I uploaded the model in my dropbox:\r\nhttps://www.... | 1,601 | 1,610 | 1,610 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.15.0-112-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version (GPU?): 2.3.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can... | {
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"What do you mean it's not working? Could you provide all the information required in the template? What is your environment? What code are you running? What is the error shown? How do you use `from_pretrained`?",
"What is meant is how do we utilize the “from_pretrained” functionality after saving the pipeline? I... | 1,601 | 1,607 | 1,607 | NONE | null | Do we know do to load the saved model pipeline back up and make predictions again locally? The from_pretrained()is not working.
Pls provide few instructions how to load the model using from pretrained | {
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https://api.github.com/repos/huggingface/transformers/issues/7478 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7478/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7478/comments | https://api.github.com/repos/huggingface/transformers/issues/7478/events | https://github.com/huggingface/transformers/pull/7478 | 712,003,723 | MDExOlB1bGxSZXF1ZXN0NDk1NTU3NjQz | 7,478 | Alphabetize model lists | {
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The model lists have grown a bit and so, like the doc navbar, I think we'll find our way better by alphabetizing them.
Adding new models will be easy in the README since Markdwon supports enumerated lists with 1. for all items. RestructuredText is more annoying but I'll make one script gener... | {
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https://api.github.com/repos/huggingface/transformers/issues/7477 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7477/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7477/comments | https://api.github.com/repos/huggingface/transformers/issues/7477/events | https://github.com/huggingface/transformers/pull/7477 | 712,001,071 | MDExOlB1bGxSZXF1ZXN0NDk1NTU1NDE4 | 7,477 | [s2strainer] fix eval dataset loading | {
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"tiny fix, might as well do this in #7467 and close this one"
] | 1,601 | 1,601 | 1,601 | MEMBER | null | `eval_dataset` should be loaded if either `--do_eval` or`EvaluationStrategy` is not `no`
@sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/7476 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7476/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7476/comments | https://api.github.com/repos/huggingface/transformers/issues/7476/events | https://github.com/huggingface/transformers/issues/7476 | 711,988,315 | MDU6SXNzdWU3MTE5ODgzMTU= | 7,476 | RAG: Can we have a document that explains the fine-tuning mechanism? | {
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"https://github.com/huggingface/transformers/tree/master/examples/rag#finetuning should help you :-) ",
"Thanks"
] | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | I want to fine-tune RUG with a custom dataset. Please help me. | {
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https://api.github.com/repos/huggingface/transformers/issues/7475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7475/comments | https://api.github.com/repos/huggingface/transformers/issues/7475/events | https://github.com/huggingface/transformers/pull/7475 | 711,968,208 | MDExOlB1bGxSZXF1ZXN0NDk1NTI3NjUz | 7,475 | Small QOL improvements to TrainingArguments | {
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"Thanks!"
] | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | # What does this PR do?
Some small QOL improvements as discussed on the [forum](https://discuss.huggingface.co/t/seq2seqtrainer-questions/1276/):
- make `do_eval` defaults to `evaluation_strategy != "no"` so there is no need to pass the two
- make `run_name` defaults to `output_dir`. | {
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https://api.github.com/repos/huggingface/transformers/issues/7474 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7474/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7474/comments | https://api.github.com/repos/huggingface/transformers/issues/7474/events | https://github.com/huggingface/transformers/pull/7474 | 711,952,294 | MDExOlB1bGxSZXF1ZXN0NDk1NTE0MzU3 | 7,474 | [Seq2Seq] Fix a couple of bugs and clean examples | {
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"You got a little zero-shot BLEU boost it seems!\r\n\r\nThis Branch: 34.433 (on en-de)\r\nMaster: 34.4052\r\n\r\n",
"@patrickvonplaten \r\n\r\nIs the docstring still wrong? [T5ForConditionalGeneration](https://huggingface.co/transformers/model_doc/t5.html?highlight=t5forconditional#transformers.T5ForConditionalGe... | 1,601 | 1,605 | 1,601 | MEMBER | null | # What does this PR do?
## **IMPORTANT** - BREAKING CHANGES
This PR changes the behavior of **T5** and **TFT5** due to 3 bugs and 1 small change in forward API to support onnx and torchscript.
It also slighlty changes the behavior of **Bart** and **EncoderDecoderModel**
## Description
_1st Bug_: Due to a s... | {
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https://api.github.com/repos/huggingface/transformers/issues/7473 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7473/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7473/comments | https://api.github.com/repos/huggingface/transformers/issues/7473/events | https://github.com/huggingface/transformers/pull/7473 | 711,867,573 | MDExOlB1bGxSZXF1ZXN0NDk1NDQyNzU4 | 7,473 | Make transformers install check positive | {
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When transformers is correctly installed, I feel you should get a positive message. It's called huggingface not angryface, after all ;-)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
## Who can review?
Any... | {
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https://api.github.com/repos/huggingface/transformers/issues/7472 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7472/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7472/comments | https://api.github.com/repos/huggingface/transformers/issues/7472/events | https://github.com/huggingface/transformers/pull/7472 | 711,843,346 | MDExOlB1bGxSZXF1ZXN0NDk1NDIyNjQx | 7,472 | Number of GPUs for multi-gpu | {
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https://api.github.com/repos/huggingface/transformers/issues/7470 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7470/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7470/comments | https://api.github.com/repos/huggingface/transformers/issues/7470/events | https://github.com/huggingface/transformers/pull/7470 | 711,692,798 | MDExOlB1bGxSZXF1ZXN0NDk1MzAxMDEw | 7,470 | Seq2SeqDataset: avoid passing src_lang everywhere | {
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eg. src and tgt lang to T5 tokenizer.
# What does this PR do?
tokenization_util.py was generating unnecessary warning statements continuously for tokenizer arguments for seq2seq batch processing t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7469 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7469/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7469/comments | https://api.github.com/repos/huggingface/transformers/issues/7469/events | https://github.com/huggingface/transformers/pull/7469 | 711,688,701 | MDExOlB1bGxSZXF1ZXN0NDk1Mjk4MTc3 | 7,469 | fix the first chunk's lower triangle | {
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"Sorry, I made a mistake, ignore this.",
"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"
] | 1,601 | 1,608 | 1,608 | CONTRIBUTOR | null | Correct the first chunk's lower triangle.
For details, please look at Page 4 in a google shared document.
Link is: https://docs.google.com/document/d/12rv879j2m5VkfTvk0F-WSOPFF5gqbE0kgk60PvY5nHc/edit?usp=sharing
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/7467 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7467/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7467/comments | https://api.github.com/repos/huggingface/transformers/issues/7467/events | https://github.com/huggingface/transformers/pull/7467 | 711,644,792 | MDExOlB1bGxSZXF1ZXN0NDk1MjYyMDgw | 7,467 | [s2sTrainer] test + code cleanup | {
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- general code cleanup
- pass `data_args` to Seq2SeqTrainer
@patil-suraj | {
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"I'll take it :)",
"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"
] | 1,601 | 1,607 | 1,607 | CONTRIBUTOR | null | @patil-suraj do you want to take this or should I?
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https://api.github.com/repos/huggingface/transformers/issues/7465 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7465/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7465/comments | https://api.github.com/repos/huggingface/transformers/issues/7465/events | https://github.com/huggingface/transformers/issues/7465 | 711,587,084 | MDU6SXNzdWU3MTE1ODcwODQ= | 7,465 | RAG - reproducing RAG-Sequence QA score | {
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"Gently pinging @ola13 here, she probably knows best which command to run to reproduce the eval results :-) ",
"Hi @acslk, thanks for your post!\r\n\r\nYou should be able to reproduce paper results for the RAG Token model (44.1 EM on NQ) by evaluating `facebook/rag-token-nq` with 20 docs.\r\n\r\nAs for the RAG Se... | 1,601 | 1,607 | 1,607 | NONE | null | I'm trying to reproduce RAG-Sequence NQ score of 44.5 presented in Table 1 of the paper at https://arxiv.org/abs/2005.11401.
I used the command in the examples/rag readme
```bash
python examples/rag/eval_rag.py \
--model_name_or_path facebook/rag-sequence-nq \
--model_type rag_sequence \
--evaluatio... | {
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https://api.github.com/repos/huggingface/transformers/issues/7464 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7464/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7464/comments | https://api.github.com/repos/huggingface/transformers/issues/7464/events | https://github.com/huggingface/transformers/pull/7464 | 711,528,345 | MDExOlB1bGxSZXF1ZXN0NDk1MTY4MTU2 | 7,464 | Remove config assumption in Trainer | {
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This PR tries to limit the access to `model.config` in `Trainer` to the minimum so that it works with regular PyTorch modules (as long as they accept dict inputs and return loss first like our models). The most challenging part was the storing/restoring of the `total_flos`, which I moved to t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7463 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7463/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7463/comments | https://api.github.com/repos/huggingface/transformers/issues/7463/events | https://github.com/huggingface/transformers/pull/7463 | 711,468,382 | MDExOlB1bGxSZXF1ZXN0NDk1MTE4MDEz | 7,463 | Trainer should not modify its TrainingArguments | {
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"Shouldn't we have a properly-typed self.state on the Trainer instance? I always find assigning instance properties within the code a bit messy",
"We can put everything in the new `TrainerState`. I just did the same as for `self.epoch` or `self.global_step` (and there are plenty more).",
"Yes I think that’d be ... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | # What does this PR do?
This fixes a bug that took me some time to track in a notebook with several trainings. The bottom line is that `Trainer` should not modify its `TrainingArguments` so this fixes that part by saving the number of `max_steps` desired in the state instead of in the args. Also storing the number o... | {
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https://api.github.com/repos/huggingface/transformers/issues/7462 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7462/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7462/comments | https://api.github.com/repos/huggingface/transformers/issues/7462/events | https://github.com/huggingface/transformers/issues/7462 | 711,463,321 | MDU6SXNzdWU3MTE0NjMzMjE= | 7,462 | RAG - how to precompute custom document index? | {
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"Second this. \r\n\r\nhttps://github.com/deepset-ai/haystack may be useful to you. They leverage huggingface and have an DPR implementation with an end-to-end example. Will not be surprised to see RAG implemented soon.\r\n",
"@Weilin37 Thanks. I'm also looking at the Faiss docs now (https://github.com/facebookres... | 1,601 | 1,611 | 1,608 | NONE | null | Was wondering if there was any code snippet / blog post showing how one could load their own documents and index them, so they can be used by the RAG retriever.
Cheers! | {
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https://api.github.com/repos/huggingface/transformers/issues/7461 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7461/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7461/comments | https://api.github.com/repos/huggingface/transformers/issues/7461/events | https://github.com/huggingface/transformers/pull/7461 | 711,457,731 | MDExOlB1bGxSZXF1ZXN0NDk1MTA5NjMx | 7,461 | Distributed Trainer: 2 little fixes | {
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"Can we see when the config is accessed (in your error message)? `model.config` should be accessed as sparsely as possible in `Trainer` to work with any kind of model and I'll probably remove the requirement entirely soon.",
"`Seq2SeqTrainer` uses model.config 8 times. Mostly `pad_token_id` to avoid counting padd... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | 1) fix DDP access to `model.config`. We could also set `self.config = model.config` earlier in `__init__`
2) switch torch.Tensor -> torch.tensor. The latter "infers the dtype automatically"
After which the command in #7460 works.
CC @patil-suraj , @TevenLeScao | {
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https://api.github.com/repos/huggingface/transformers/issues/7460 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7460/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7460/comments | https://api.github.com/repos/huggingface/transformers/issues/7460/events | https://github.com/huggingface/transformers/issues/7460 | 711,457,401 | MDU6SXNzdWU3MTE0NTc0MDE= | 7,460 | Seq2SeqTrainer Distributed: AttributeError and the RuntimeError | {
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"@sgugger After that bug fix, the next bug is:\r\n```\r\nRuntimeError: Precision loss when unpacking double\r\n tensorized_scalar = torch.Tensor(scalars).cuda()\r\nRuntimeError: Precision loss when unpacking double\r\nTraceback (most recent call last):\r\n File \"finetune_trainer.py\", line 442, in <module>\r\n... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | The following command (on 8 GPUS) fails with
```python
AttributeError: DistributedDataParallel has no attribute "config"
```
### Command
```bash
export WANDB_PROJECT=dmar
export BS=64
export GAS=1
export m=sshleifer/student_marian_en_ro_6_3
export MAX_LEN=128
python -m torch.distributed.launch --nproc_... | {
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https://api.github.com/repos/huggingface/transformers/issues/7459 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7459/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7459/comments | https://api.github.com/repos/huggingface/transformers/issues/7459/events | https://github.com/huggingface/transformers/pull/7459 | 711,410,481 | MDExOlB1bGxSZXF1ZXN0NDk1MDcwNjg5 | 7,459 | Update README.md | {
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"Thanks! FYI we'll have proper model versioning in ~1 month or so"
] | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | Update/reference v2 model | {
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Should fix the multiple GPU CI test (tests are passing locally). Will merge as soon as the CI passes to make the CI green. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7457?src=pr&el=h1) Report\n> Merging [#7457](https://codecov.io/gh/huggingface/transformers/pull/7457?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/52e8392b7ebd4ebc7b796e8f14b9dae271139f5f?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | # What does this PR do?
Prints a cleaner error message when `check_copies.py` encounters a bad copy. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7456?src=pr&el=h1) Report\n> Merging [#7456](https://codecov.io/gh/huggingface/transformers/pull/7456?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/52e8392b7ebd4ebc7b796e8f14b9dae271139f5f?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | # What does this PR do?
This PR adds more checks when trying to import datasets to check we actually are using the datasets library and not a local folder/module.
Fixes #7430
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This PR shares the code for the RAG demo running [here](https://huggingface.co/rag/) for future reference. The code is added in `examples/rag`
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"Yes, great PR! Send it and tag me!\r\nBonus points for adding a test that used to break but now doesn't maybe to seq2seq/test_datasets.py",
"Here you go! #7470 Added a simple test case as well to test the arguments that would be sent to collate() "
] | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | In the latest version from Master, on running finetune.sh for T5, was getting the following warning continuously:
**Keyword arguments {'src_lang':None,'tgt_lang':None,'add_prefix_space':False} not recognized.**
I found out this is because the translation and BART parameters are being passed to prepare_seq2seq_batch... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7453?src=pr&el=h1) Report\n> Merging [#7453](https://codecov.io/gh/huggingface/transformers/pull/7453?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/1fc4de69ed024e18b88cb6f040021630599de2f7?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | MEMBER | null | # What does this PR do?
This PR contributes a testing suite that runs on a multi-GPU machine.
The machine has two T4 GPUs (better than k80 in almost every way, and cheaper), and the testing suite is identical to the single-GPU machine testing suite. Two jobs are run:
- One job on each commit to the `master` branch... | {
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Fixes unhandled error when trying to use bbox balues greater than maximum allowed threshold 1000. To replicate error:
- In `test_modelling_layoutlm.py` set `range_bbox=1025`, i.e. greater 1024
- Run `pytest tests/test_modeling_layoutlm.py`
Requirement for bbox values to be within the r... | {
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"__UPDATE:__\r\n\r\nI'm trying to make my own masking_function for this task. According with the T5 original paper, if you have two consecutive tokens to masking you must mask them using only one sentinel token so I need a function that searches the consecutive tokens (\"rachas\" in my language) in the random indic... | 1,601 | 1,603 | 1,603 | NONE | null | I want to train T5 in a new language from scratch an I think the best way to do this is through the unsupervised denoising task (because you can have all text you want! no labels required! hurra!)
However I have some doubts, I've seen [the HuggingFace documentation about this](https://huggingface.co/transformers/m... | {
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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"
] | 1,601 | 1,607 | 1,607 | NONE | null | # ❓ Questions & Help
## Details
BertForSequenceClassification uses [CLS] token's representation to feed a linear classifier. I want to leverage another token (say [X] in the input sequence) rather than [CLS]. What's the most straightforward way to implement that in Transformers?
**A link to original question on ... | {
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"Indeed we'll fix this and release a patch soon.",
"The bug has been fixed in #7456 and v3.3.1 is out with this fix. The problem should be solved for now, let us know if that's not the case!",
"Great, thanks for the quick fix and release of a new version.\r\n\r\nIt is now working fine in my case :)",
"I had t... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | Version 3.3.0 tries to import the module [datasets](https://pypi.org/project/datasets/):
https://github.com/huggingface/transformers/blob/v3.3.0/src/transformers/file_utils.py#L69
However, this can cause some undesirable behavior if there is a "datasets" folder in the same folder.
An example to re-produce the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7447 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7447/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7447/comments | https://api.github.com/repos/huggingface/transformers/issues/7447/events | https://github.com/huggingface/transformers/issues/7447 | 710,916,689 | MDU6SXNzdWU3MTA5MTY2ODk= | 7,447 | Getting Bert Embeddings in Batch | {
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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"
] | 1,601 | 1,607 | 1,607 | NONE | null | Hi all
I have a list of sentences(a batch during training) and for every word in each sentence, I need an aligned bert embedding which should be the mean of every word-piece that word was split into.
Right now, I am doing it sentence by sentence and obtain the aligned embedding for every word by reiterating over ... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7446?src=pr&el=h1) Report\n> Merging [#7446](https://codecov.io/gh/huggingface/transformers/pull/7446?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7dfdf793bb5e3a865f33ed597b10fc4526364af9?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | This PR adds gradient checkpointing capabilities to GPT-2, imitating the Longformer and Bert checkpointing code. It also disables `find_unused_parameters` in Trainer if the model is using gradient checkpointing, as per #4659 they are incompatible. | {
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https://api.github.com/repos/huggingface/transformers/issues/7445 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7445/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7445/comments | https://api.github.com/repos/huggingface/transformers/issues/7445/events | https://github.com/huggingface/transformers/pull/7445 | 710,829,161 | MDExOlB1bGxSZXF1ZXN0NDk0NjEwMTE0 | 7,445 | Add is_split_into_words as an argument to tokenize | {
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"The failing test `FAILED tests/test_pipelines.py::MonoColumnInputTestCase::test_tf_text_generation` passes locally for me.",
"The `is_split_into_words` flag means that instead of passing a string defining a sequence: `This happened to me`, you're instead passing an array of words: `['This', 'happened', 'to', 'me... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | # What does this PR do?
Two calls to `self.tokenize` in `tokenization_utils.py` were missing the argument `is_split_into_words`. Since `is_split_into_words` is not present in the `kwargs`, `self.tokenize` resorts to the default behavior of not adding a space before every word.
This PR fixes this issue by adding the m... | {
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https://api.github.com/repos/huggingface/transformers/issues/7444 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7444/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7444/comments | https://api.github.com/repos/huggingface/transformers/issues/7444/events | https://github.com/huggingface/transformers/pull/7444 | 710,819,893 | MDExOlB1bGxSZXF1ZXN0NDk0NjAyNTQw | 7,444 | Update README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7444?src=pr&el=h1) Report\n> Merging [#7444](https://codecov.io/gh/huggingface/transformers/pull/7444?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/74d8d69bd42c253c255dc69904ee1fbd1eece0cf?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | Hi, just corrected the example code, add 2 links and fixed some typos
# What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflect... | {
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https://api.github.com/repos/huggingface/transformers/issues/7443 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7443/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7443/comments | https://api.github.com/repos/huggingface/transformers/issues/7443/events | https://github.com/huggingface/transformers/issues/7443 | 710,797,171 | MDU6SXNzdWU3MTA3OTcxNzE= | 7,443 | Error training GPT-2 from scratch on Hindi | {
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"You seem to have a `\"model_type\": \"albert\"` in your config.json which should be a `gpt2`.\r\n\r\nAlso, I would suggest using the Trainer directly instead of shelling out to `run_language_modeling.py`, as described in https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_trai... | 1,601 | 1,601 | 1,601 | NONE | null | I was trying to retrain GPT-2 from scratch. I was able able to train a tokenizer but was facing issues while running run_language_modeling.py.
```
2020-09-29 06:00:14.450718: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
/usr/local/lib/python3.6... | {
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https://api.github.com/repos/huggingface/transformers/issues/7442 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7442/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7442/comments | https://api.github.com/repos/huggingface/transformers/issues/7442/events | https://github.com/huggingface/transformers/issues/7442 | 710,778,943 | MDU6SXNzdWU3MTA3Nzg5NDM= | 7,442 | Setting up transformers/examples/seq2seq | {
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"You can install those libraries by doing `pip install -r requirements.txt` in the `transformers/examples` folder!",
"Aha, thank you! \r\n\r\nCould I submit a pull request with updates to the README as I go through and encounter these little snags?\r\n\r\nAlso, is there a reason that the README in the examples/se... | 1,601 | 1,607 | 1,607 | CONTRIBUTOR | null | @sshleifer
I'm following the instructions in the README for seq2seq. In particular, I forked, cloned, and then ran "pip install -e ."
But then when I tried to run finetune.sh, a number of libraries had not been installed. I had to just manually install them with pip (e.g. rouge_score, git, sacrebleu). Should th... | {
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https://api.github.com/repos/huggingface/transformers/issues/7441 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7441/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7441/comments | https://api.github.com/repos/huggingface/transformers/issues/7441/events | https://github.com/huggingface/transformers/issues/7441 | 710,739,386 | MDU6SXNzdWU3MTA3MzkzODY= | 7,441 | Faced the TypeError:forward() got an unexpected keyword argument 'output_all_encoded_layers' | {
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"I think you're using a script that's intended to be used with a different library. The argument `output_all_encoded_layers ` does not exist with `transformers`, it is named `output_hidden_states`.",
"Thanks a Lot, I will check it.",
"This issue has been automatically marked as stale because it has not had rece... | 1,601 | 1,607 | 1,607 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.7.3
- PyTorch version (GPU?): 1.1.0 (True)
- Tensorflow version (GPU?): 2.2.0 (False)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>
### Who can help
<... | {
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https://api.github.com/repos/huggingface/transformers/issues/7440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7440/comments | https://api.github.com/repos/huggingface/transformers/issues/7440/events | https://github.com/huggingface/transformers/pull/7440 | 710,722,053 | MDExOlB1bGxSZXF1ZXN0NDk0NTIwMTkw | 7,440 | creating readme for bert-base-mongolian-uncased | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7440?src=pr&el=h1) Report\n> Merging [#7440](https://codecov.io/gh/huggingface/transformers/pull/7440?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/74d8d69bd42c253c255dc69904ee1fbd1eece0cf?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | I am adding the model card for bert-base mongolian uncased.
Can you review this for me please! | {
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https://api.github.com/repos/huggingface/transformers/issues/7439 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7439/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7439/comments | https://api.github.com/repos/huggingface/transformers/issues/7439/events | https://github.com/huggingface/transformers/pull/7439 | 710,720,918 | MDExOlB1bGxSZXF1ZXN0NDk0NTE5MjQ5 | 7,439 | Creating readme for bert-base-mongolian-cased | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7439?src=pr&el=h1) Report\n> Merging [#7439](https://codecov.io/gh/huggingface/transformers/pull/7439?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/74d8d69bd42c253c255dc69904ee1fbd1eece0cf?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | I am adding pretrained BERT-base models to model hub.
Please review this for me
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"Do you get the same error when using a batch size of 1?",
"Thanks, with a batch size of 1 it works! \r\n\r\nI never thought that even the \"A light BERT\" models are so big. :)",
"The `large` \"light BERT\" model is quite large indeed ;) The `base` model is smaller if you want to use bigger batch sizes."
] | 1,601 | 1,601 | 1,601 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.0
- Platform: Colab Pro (P100) / Anaconda (Windows / 2080 Ti)
- Python version: 3.6
- PyTorch versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/7437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7437/comments | https://api.github.com/repos/huggingface/transformers/issues/7437/events | https://github.com/huggingface/transformers/issues/7437 | 710,603,700 | MDU6SXNzdWU3MTA2MDM3MDA= | 7,437 | RAG Retriever (NameError: name 'load_dataset' is not defined in retrieval_rag.py) | {
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"Try with `pip install transformers datasets faiss-cpu psutil` (or see the [requirements.txt](https://github.com/huggingface/transformers/blob/master/examples/rag/requirements.txt) file).\r\n\r\nHad the same issue and it fixed it for me.",
"This issue has been automatically marked as stale because it has not had ... | 1,601 | 1,607 | 1,607 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.0
- Platform: Linux-4.19.0-11-cloud-amd64-x86_64-with-debian-10.6
- Python version: 3.7.3
- PyTorch... | {
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https://api.github.com/repos/huggingface/transformers/issues/7436 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7436/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7436/comments | https://api.github.com/repos/huggingface/transformers/issues/7436/events | https://github.com/huggingface/transformers/pull/7436 | 710,578,064 | MDExOlB1bGxSZXF1ZXN0NDk0NDAyMTE4 | 7,436 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7436?src=pr&el=h1) Report\n> Merging [#7436](https://codecov.io/gh/huggingface/transformers/pull/7436?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a1a8ffa5126ced93c12dfb677cbe3a069f48dcf3?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | NONE | null | MagBERT-NER : Added widget (Text)
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https://api.github.com/repos/huggingface/transformers/issues/7435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7435/comments | https://api.github.com/repos/huggingface/transformers/issues/7435/events | https://github.com/huggingface/transformers/pull/7435 | 710,552,319 | MDExOlB1bGxSZXF1ZXN0NDk0MzgwNTc3 | 7,435 | [s2s] consistent output format across eval scripts | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7435?src=pr&el=h1) Report\n> Merging [#7435](https://codecov.io/gh/huggingface/transformers/pull/7435?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7f4115c0990b5121878e38069d386f168fac6b7b?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/7434 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7434/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7434/comments | https://api.github.com/repos/huggingface/transformers/issues/7434/events | https://github.com/huggingface/transformers/pull/7434 | 710,547,176 | MDExOlB1bGxSZXF1ZXN0NDk0Mzc2MzY0 | 7,434 | Document new features of make fixup | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7434?src=pr&el=h1) Report\n> Merging [#7434](https://codecov.io/gh/huggingface/transformers/pull/7434?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a1a8ffa5126ced93c12dfb677cbe3a069f48dcf3?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | # What does this PR do?
This is a small follow-up on #7403 documenting the behavior it introduced, as instructed by @stas00.
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https://api.github.com/repos/huggingface/transformers/issues/7433 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7433/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7433/comments | https://api.github.com/repos/huggingface/transformers/issues/7433/events | https://github.com/huggingface/transformers/pull/7433 | 710,545,471 | MDExOlB1bGxSZXF1ZXN0NDk0Mzc0OTcx | 7,433 | Add a code of conduct | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7433?src=pr&el=h1) Report\n> Merging [#7433](https://codecov.io/gh/huggingface/transformers/pull/7433?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a1a8ffa5126ced93c12dfb677cbe3a069f48dcf3?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | # What does this PR do?
This PR adds a code of conduct to the project, inspired by the [Contributor Covenant](https://www.contributor-covenant.org/). To make it clearly visible it also adds:
- a badge that displays under Transformers on the main README.
- a link in the contributing guide. | {
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https://api.github.com/repos/huggingface/transformers/issues/7432 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7432/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7432/comments | https://api.github.com/repos/huggingface/transformers/issues/7432/events | https://github.com/huggingface/transformers/issues/7432 | 710,529,305 | MDU6SXNzdWU3MTA1MjkzMDU= | 7,432 | Fine-tune BERTForMaskedLM | {
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"Can you try removing spaces between `--model_type`, `=` and `bert`? Same for `--model_name_or_path `, `=` and `bert-base-cased`",
"@LysandreJik Yes, it works now. Thank you :). \r\n\r\nI tried the [example ](https://github.com/huggingface/transformers/tree/master/examples/language-modeling) as it is with the sam... | 1,601 | 1,669 | 1,607 | NONE | null | Hello,
I am doing a project on spelling correction. I used pre-trained "bert-base-cased" model. However, the results are not that accurate. Therefore, I planned to fine-tune the BERT for Masked LM task. I couldn't find any examples for fine-tuning BERT model for Masked LM. I tried to use "run_language_modeling.py" f... | {
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https://api.github.com/repos/huggingface/transformers/issues/7431 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7431/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7431/comments | https://api.github.com/repos/huggingface/transformers/issues/7431/events | https://github.com/huggingface/transformers/pull/7431 | 710,528,036 | MDExOlB1bGxSZXF1ZXN0NDk0MzYwNTI2 | 7,431 | Add automatic best model loading to Trainer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7431?src=pr&el=h1) Report\n> Merging [#7431](https://codecov.io/gh/huggingface/transformers/pull/7431?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f62f2ffdcc2df75cf01438bebc7ae281d921d21d?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | # What does this PR do?
This PR cleans up a bit the part that saves the training state inside `Trainer` and adds an API that can track which was the best model during any of the evaluation phases to load it back at the end.
When fine-tuning a model on a dataset that can easily overfit the model, it's quite common... | {
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https://api.github.com/repos/huggingface/transformers/issues/7430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7430/comments | https://api.github.com/repos/huggingface/transformers/issues/7430/events | https://github.com/huggingface/transformers/issues/7430 | 710,467,782 | MDU6SXNzdWU3MTA0Njc3ODI= | 7,430 | import error in version 3.3.0, conflict with local directory "datasets" | {
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"Sadly that is how python works, it will try to import the datasets library from a local folder if you have a folder named like this in the path your are working in. However, this should only work if there is a `__init__.py` in your folder named datasets. Removing that file should then solve the bug.",
"This chan... | 1,601 | 1,601 | 1,601 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.0
- Platform: Google Colab
Model I am using ：Bert
## To reproduce
Steps to reproduce t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7429/comments | https://api.github.com/repos/huggingface/transformers/issues/7429/events | https://github.com/huggingface/transformers/pull/7429 | 710,441,241 | MDExOlB1bGxSZXF1ZXN0NDk0Mjg5NTM1 | 7,429 | Update README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7429?src=pr&el=h1) Report\n> Merging [#7429](https://codecov.io/gh/huggingface/transformers/pull/7429?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f62f2ffdcc2df75cf01438bebc7ae281d921d21d?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | Add links to models fine-tuned on a downstream task
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/7428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7428/comments | https://api.github.com/repos/huggingface/transformers/issues/7428/events | https://github.com/huggingface/transformers/pull/7428 | 710,426,530 | MDExOlB1bGxSZXF1ZXN0NDk0Mjc3MTE2 | 7,428 | Train T5 in Tensoflow 2 Community Notebook | {
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"Hello!\r\n\r\nThanks a lot for your awesome notebook! Just two tiny updates, can you clean your list of imports and use `datasets` instead of `tfds`?",
"@jplu much appreciated. i will clean up the imports. by datasets do you mean an alias for tensorflow datasets instead of tfds?",
"No, I mean using https://gi... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | # What does this PR do?
This adds a link to **Training T5 in Tensoflow 2 Community Notebook** under the notebooks/Readme.md community notebook section.
This notebook demonstrates how to train T5 for any task using Tensorflow 2. Trains a Question & Answer task implemented in Tensorflow 2 using SQUAD
## Before... | {
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https://api.github.com/repos/huggingface/transformers/issues/7427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7427/comments | https://api.github.com/repos/huggingface/transformers/issues/7427/events | https://github.com/huggingface/transformers/issues/7427 | 710,411,316 | MDU6SXNzdWU3MTA0MTEzMTY= | 7,427 | Problem while using tokenizer.encode_plus for sentence pairs | {
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"Could you provide some `seq0` and `seq1` values so that we may investigate further?",
"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"
] | 1,601 | 1,607 | 1,607 | 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/7426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7426/comments | https://api.github.com/repos/huggingface/transformers/issues/7426/events | https://github.com/huggingface/transformers/issues/7426 | 710,394,262 | MDU6SXNzdWU3MTAzOTQyNjI= | 7,426 | [T5] Automatic setting of decoder_input_ids is misleading and does not correspond to the expected behavior of T5 | {
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"follo... | [] | 1,601 | 1,601 | 1,601 | MEMBER | null | These lines: https://github.com/huggingface/transformers/blob/f62f2ffdcc2df75cf01438bebc7ae281d921d21d/src/transformers/modeling_t5.py#L1020 were added in this PR: https://github.com/huggingface/transformers/pull/5518 .
@mfuntowicz - do we need this hack to make onnx work? I would prefer to revert this change.
T... | {
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https://api.github.com/repos/huggingface/transformers/issues/7425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7425/comments | https://api.github.com/repos/huggingface/transformers/issues/7425/events | https://github.com/huggingface/transformers/issues/7425 | 710,367,950 | MDU6SXNzdWU3MTAzNjc5NTA= | 7,425 | Getting Import error ImportError: cannot import name 'quantize' from 'transformers.convert_graph_to_onnx' (/opt/conda/lib/python3.7/site-packages/transformers/convert_graph_to_onnx.py) | {
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"Any Updates on the above issue ?",
"@mfuntowicz any updates on this ?",
"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"
] | 1,601 | 1,608 | 1,608 | NONE | null | ---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-19-60bf04c6de64> in <module>
----> 1 from simpletransformers.classification import MultiLabelClassificationModel
2
3
4 model = ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7424/comments | https://api.github.com/repos/huggingface/transformers/issues/7424/events | https://github.com/huggingface/transformers/pull/7424 | 710,293,907 | MDExOlB1bGxSZXF1ZXN0NDk0MTY2NDQ5 | 7,424 | [draft] codecov no comment | {
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https://api.github.com/repos/huggingface/transformers/issues/7423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7423/comments | https://api.github.com/repos/huggingface/transformers/issues/7423/events | https://github.com/huggingface/transformers/pull/7423 | 710,285,440 | MDExOlB1bGxSZXF1ZXN0NDk0MTU5NDAz | 7,423 | Reorganize documentation navbar | {
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"Cool, thanks @sgugger"
] | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | With the library containing so many models now, the documentation navigation bar was started to get unreadable, especially if someone was looking for a specific model. To make this cleaner I:
- removed the PACKAGE REFENCE caption (not happy about this but there is no way to have a caption with empty content :-( )
- a... | {
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https://api.github.com/repos/huggingface/transformers/issues/7422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7422/comments | https://api.github.com/repos/huggingface/transformers/issues/7422/events | https://github.com/huggingface/transformers/pull/7422 | 710,113,170 | MDExOlB1bGxSZXF1ZXN0NDk0MDE5OTQy | 7,422 | Custom TF weights loading | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7422?src=pr&el=h1) Report\n> Merging [#7422](https://codecov.io/gh/huggingface/transformers/pull/7422?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/95f792afb0f0ce5a7b4f0e8df108b10157a69134?el=desc) will **decrease... | 1,601 | 1,686 | 1,601 | CONTRIBUTOR | null | This PR provides a custom weight loading function in order to take into account dynamic model architecture building. More precisely, the brand new loading function takes into account the `authorized_unexpected_keys` and `authorized_missing_keys` class attributes enabling the possibility to ignore some layers in the mod... | {
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