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https://api.github.com/repos/huggingface/transformers/issues/9730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9730/comments | https://api.github.com/repos/huggingface/transformers/issues/9730/events | https://github.com/huggingface/transformers/issues/9730 | 791,108,250 | MDU6SXNzdWU3OTExMDgyNTA= | 9,730 | Docs suggest to use discriminator weights for ElectraForMaskedLM instead of generator | {
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"Hello! Indeed, this is a mistake! Do you want to update the docs to show the generator instead?",
"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this th... | 1,611 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-5.3.0-64-generic-x86_64-with-Ubuntu-19.10-eoan
- Python version: 3.7.5
- 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
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9729 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9729/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9729/comments | https://api.github.com/repos/huggingface/transformers/issues/9729/events | https://github.com/huggingface/transformers/pull/9729 | 791,065,551 | MDExOlB1bGxSZXF1ZXN0NTU5MTgxMDcy | 9,729 | Changing model default for TableQuestionAnsweringPipeline. | {
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Niels removed his tapas model from the Hub, so we need to update the default to `google` organization
- Discussion: https://discuss.huggingface.co/t/table-question-answering-is-not-an-available-task-under-pipeline/3284/6
- Had to update the slow test that was out-of-sync I think, @Lysandr... | {
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https://api.github.com/repos/huggingface/transformers/issues/9728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9728/comments | https://api.github.com/repos/huggingface/transformers/issues/9728/events | https://github.com/huggingface/transformers/pull/9728 | 791,010,477 | MDExOlB1bGxSZXF1ZXN0NTU5MTM3MDU4 | 9,728 | Fix some TF slow tests | {
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This PR fixes several slow tests related to saved model creation.
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https://api.github.com/repos/huggingface/transformers/issues/9727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9727/comments | https://api.github.com/repos/huggingface/transformers/issues/9727/events | https://github.com/huggingface/transformers/issues/9727 | 790,968,872 | MDU6SXNzdWU3OTA5Njg4NzI= | 9,727 | ERROR about using layer_past and use_cache in Attention Layer of GPT2 | {
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"Hey @ouwenjie03,\r\n\r\nyou should not do this steps:\r\n\r\n```python\r\ninput_ids = torch.cat([input_ids, added_input_ids], dim=1)\r\n```\r\n\r\nIt should just be \r\n\r\n```pyhton \r\ninput_ids = added_input_ids\r\n```\r\n\r\nWhen passing `past_key_values` the input_ids should correspond **only** to the last to... | 1,611 | 1,611 | 1,611 | NONE | null | Hi,
I am trying to use "use_cache" and "past_key_values" to speed up the decode steps.
But I have some questions about the Attention Layer, here are some codes in forward function:
[layer_past code](https://github.com/huggingface/transformers/blob/master/src/transformers/models/gpt2/modeling_gpt2.py#L230)
``` pytho... | {
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https://api.github.com/repos/huggingface/transformers/issues/9726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9726/comments | https://api.github.com/repos/huggingface/transformers/issues/9726/events | https://github.com/huggingface/transformers/pull/9726 | 790,937,321 | MDExOlB1bGxSZXF1ZXN0NTU5MDcyNTcz | 9,726 | fix T5 head mask in model_parallel | {
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"That's a better solution actually! Thanks @patil-suraj ",
"Also, there is a whole bunch of issues including this one I believe fixed in this PR: https://github.com/huggingface/transformers/pull/9323 where we no longer do it one by one."
] | 1,611 | 1,611 | 1,611 | MEMBER | null | # What does this PR do?
`head_mask` in T5 is not parallelized correctly in model parallel, each layer's head mask should be put on that layer's device if it's not `None`.
Fixes #9718 | {
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https://api.github.com/repos/huggingface/transformers/issues/9725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9725/comments | https://api.github.com/repos/huggingface/transformers/issues/9725/events | https://github.com/huggingface/transformers/issues/9725 | 790,928,729 | MDU6SXNzdWU3OTA5Mjg3Mjk= | 9,725 | AutoModel doesn't work with DPRContextEncoder | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread.",
"I ran into this recently and posted a question about it [on the forum](https://discuss.hug... | 1,611 | 1,635 | 1,614 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.7.9
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
### Who can help
@lh... | {
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https://api.github.com/repos/huggingface/transformers/issues/9724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9724/comments | https://api.github.com/repos/huggingface/transformers/issues/9724/events | https://github.com/huggingface/transformers/issues/9724 | 790,900,093 | MDU6SXNzdWU3OTA5MDAwOTM= | 9,724 | Run_ner.py falsely aligns prediction list | {
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"You can check https://github.com/uf-hobi-informatics-lab/ClinicalTransformerNER\r\nWe essentially wrap the models in transformers with our NER implementation that can handle sentences longer than the max_len.",
"Hi @Stimmot ,\r\n\r\ndid you run the `scripts/preprocess.py` to make sure that there are no sentence... | 1,611 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 3.5.1
- Platform: Linux-5.9.1-kd-cluster-x86_64-with-glibc2.10
- Python version: 3.8.0
- PyTorch version (GPU?): 1.7.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
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https://api.github.com/repos/huggingface/transformers/issues/9723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9723/comments | https://api.github.com/repos/huggingface/transformers/issues/9723/events | https://github.com/huggingface/transformers/pull/9723 | 790,870,691 | MDExOlB1bGxSZXF1ZXN0NTU5MDE1NDM3 | 9,723 | [LED] Reduce Slow Test required GPU RAM from 16GB to 8GB | {
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https://api.github.com/repos/huggingface/transformers/issues/9722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9722/comments | https://api.github.com/repos/huggingface/transformers/issues/9722/events | https://github.com/huggingface/transformers/issues/9722 | 790,860,854 | MDU6SXNzdWU3OTA4NjA4NTQ= | 9,722 | convert_graph_to_onnx.convert broken for translation model facebook/wmt19-en-de | {
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"Thank you for this excellent report, @oborchers - I'll investigate and report back.",
"Fixed in https://github.com/huggingface/transformers/pull/9736 \r\n\r\nBut found another problem: https://github.com/huggingface/transformers/issues/9737. Fixed in https://github.com/huggingface/transformers/pull/9738\r\n\r\nS... | 1,611 | 1,613 | 1,611 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-4.15.0-132-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): 2.5.0 (True)
- Using GPU in script?: True
- Using distributed or parallel set-up in script?: False
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/9720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9720/comments | https://api.github.com/repos/huggingface/transformers/issues/9720/events | https://github.com/huggingface/transformers/pull/9720 | 790,851,821 | MDExOlB1bGxSZXF1ZXN0NTU4OTk5MTkx | 9,720 | Temporarily deactivate TPU tests while we work on fixing them | {
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https://api.github.com/repos/huggingface/transformers/issues/9719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9719/comments | https://api.github.com/repos/huggingface/transformers/issues/9719/events | https://github.com/huggingface/transformers/pull/9719 | 790,832,792 | MDExOlB1bGxSZXF1ZXN0NTU4OTgzMTE4 | 9,719 | [PretrainedModel] add tie_weights to init | {
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"Actually the init takes care of this so no need for this PR"
] | 1,611 | 1,611 | 1,611 | MEMBER | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/9718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9718/comments | https://api.github.com/repos/huggingface/transformers/issues/9718/events | https://github.com/huggingface/transformers/issues/9718 | 790,825,593 | MDU6SXNzdWU3OTA4MjU1OTM= | 9,718 | T5 Model Parallelism in 4.3.0 | {
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"If you run into other issues please try this PR: https://github.com/huggingface/transformers/pull/9323\r\nwhich has lots of improvements. It just hasn't been merged since we are waiting for me I think to sort the whole MP/PP out before moving forward."
] | 1,611 | 1,611 | 1,611 | NONE | null | ## Environment info
- `transformers` version: 4.3.0.dev0
- Platform: Linux-5.4.0-62-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.9
- PyTorch version (GPU?): 1.8.0.dev20210120 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes -- 4x A100-SXM4-40GB
- Using distrib... | {
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https://api.github.com/repos/huggingface/transformers/issues/9717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9717/comments | https://api.github.com/repos/huggingface/transformers/issues/9717/events | https://github.com/huggingface/transformers/pull/9717 | 790,815,118 | MDExOlB1bGxSZXF1ZXN0NTU4OTY4MjQ0 | 9,717 | ConvBERT Model | {
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"> Also, I think you forgot to add the model to the README.md (I'll forget it all the time as well :D)\r\n\r\nOh and while you are at it, a short entry in the `model_summary` would be great too!"
] | 1,611 | 1,612 | 1,611 | MEMBER | null | {
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https://api.github.com/repos/huggingface/transformers/issues/9716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9716/comments | https://api.github.com/repos/huggingface/transformers/issues/9716/events | https://github.com/huggingface/transformers/issues/9716 | 790,674,583 | MDU6SXNzdWU3OTA2NzQ1ODM= | 9,716 | CUDA out of memory error on Trainer hyperparameter_search | {
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"There's not enough information here to help you. Please provide env info, the model/tasks you are using, and a short text code snippet to reproduce the error. ",
"@patil-suraj I have edited the comment. Please help me out. Thanks.",
"@patil-suraj Same issue here\r\n",
"This issue has been automatically mark... | 1,611 | 1,619 | 1,619 | CONTRIBUTOR | null | Hi,
I am using Colab to GridSearch on a dataset. The dataset has 7000 samples. I use 1/5 shard and batch_size is 1. No matter what I do, I get this error.
Env Related Info
-----------
tranformers (4.2.1)
datasets (1.2.1)
Model Used
----------------
[SpanBERT Large](https://huggingface.co/SpanBERT/spanber... | {
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https://api.github.com/repos/huggingface/transformers/issues/9715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9715/comments | https://api.github.com/repos/huggingface/transformers/issues/9715/events | https://github.com/huggingface/transformers/issues/9715 | 790,571,779 | MDU6SXNzdWU3OTA1NzE3Nzk= | 9,715 | Error when passing --line_by_line to run_mlm.py | {
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"Update: this error was present when using Python 3.6.9, it disappeared when using Python 3.7.5\r\nI found the hint at: https://github.com/huggingface/transformers/issues/8212 ",
"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contribut... | 1,611 | 1,614 | 1,614 | NONE | null | I am trying to run the `run_mlm.py` examples/language-modeling using my own data file. It works fine if I don't pass the `--line_by_line` parameter, but if I do, it breaks.
I can't figure this out using the error trace, can anyone give me a hand?
```
python3 run_mlm.py --model_name_or_path bert-base-uncased --t... | {
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https://api.github.com/repos/huggingface/transformers/issues/9714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9714/comments | https://api.github.com/repos/huggingface/transformers/issues/9714/events | https://github.com/huggingface/transformers/issues/9714 | 790,492,391 | MDU6SXNzdWU3OTA0OTIzOTE= | 9,714 | Slow BERT Tokenizer adds UNK when calling tokenize() | {
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"I wonder why the docstring says that, I believe both the slow and fast tokenizers replace with the unknown token. @thomwolf do you remember if that wasn't the case when you wrote the docstring?",
"Hi @thomwolf, any thoughts on this?\r\n\r\nAlso @LysandreJik, do you know if there's a way to prevent the replacemen... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | Hi! I've run into an inconsistency between the base tokenizer docstring and the slow BERT tokenizer. Specifically, when calling `tokenizer.encode()`, the `[UNK]` token is inserted for unknown tokens, even though the [docstring](https://github.com/huggingface/transformers/blob/v4.0.1/src/transformers/tokenization_util... | {
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https://api.github.com/repos/huggingface/transformers/issues/9713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9713/comments | https://api.github.com/repos/huggingface/transformers/issues/9713/events | https://github.com/huggingface/transformers/pull/9713 | 790,483,134 | MDExOlB1bGxSZXF1ZXN0NTU4NjczNTg5 | 9,713 | Fix memory regression in Seq2Seq example | {
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"I agree with Patrick here, the collator was added to encode the text and to prepare the `decoder_input_ids` and `labels`, replace pad with 100 etc. Now we could encode and prepare `labels` in datasets.map(...) so collator won't be needed anymore. \r\n\r\nThe only thing we need IMO is to be able to prepare `decoder... | 1,611 | 1,611 | 1,611 | COLLABORATOR | null | # What does this PR do?
This PR fixes the memory regression introduced when putting the `Seq2SeqTrainer` inside the main library. The root of the memory regression comes from the fact that when doing label smoothing, we ended up computing the log softmax of the logits twice, once in the cross entropy loss, and a sec... | {
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https://api.github.com/repos/huggingface/transformers/issues/9712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9712/comments | https://api.github.com/repos/huggingface/transformers/issues/9712/events | https://github.com/huggingface/transformers/pull/9712 | 790,445,971 | MDExOlB1bGxSZXF1ZXN0NTU4NjM5NDcy | 9,712 | [trainer] no --deepspeed and --sharded_ddp together | {
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"Thanks for fixing!"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | This PR fixes an invalid if branch, which fails to detect a concurrent use of `--deepspeed` and `--sharded_ddp`, which should never be used together.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/9711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9711/comments | https://api.github.com/repos/huggingface/transformers/issues/9711/events | https://github.com/huggingface/transformers/issues/9711 | 790,437,584 | MDU6SXNzdWU3OTA0Mzc1ODQ= | 9,711 | Add support for RemBERT | {
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"Decided it would be easier for us to take care of this since we plan to directly release the model checkpoint in huggingface.\r\n\r\nStarted working on it over the week-end, will share PR once it is more polished. ",
"This is great news @Iwontbecreative! Let us know if you need help."
] | 1,611 | 1,627 | 1,627 | COLLABORATOR | null | # 🌟 New model addition
## Model description
Hi,
I just found this really interesting upcoming ICLR 2021 paper: "Rethinking Embedding Coupling in Pre-trained Language Models":
> We re-evaluate the standard practice of sharing weights between input and output embeddings in state-of-the-art pre-trained langu... | {
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https://api.github.com/repos/huggingface/transformers/issues/9710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9710/comments | https://api.github.com/repos/huggingface/transformers/issues/9710/events | https://github.com/huggingface/transformers/issues/9710 | 790,355,407 | MDU6SXNzdWU3OTAzNTU0MDc= | 9,710 | Let Trainer provide the device to perform training | {
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Training_args object [chooses](https://github.com/huggingface/transformers/blob/7acfa95afb8194f8f9c1f4d2c6028224dbed35a2/src/transformers/training_args.py#L477) the training device by itself(cuda:0 by default). I request a possibility for a user to be able to choose it :)
## Motivation
I... | {
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https://api.github.com/repos/huggingface/transformers/issues/9709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9709/comments | https://api.github.com/repos/huggingface/transformers/issues/9709/events | https://github.com/huggingface/transformers/issues/9709 | 790,320,177 | MDU6SXNzdWU3OTAzMjAxNzc= | 9,709 | DeepSpeed: Exits with CUDA runtime error on A100 (requires recompiling DeepSpeed for NVIDIA 8.0 Arch) | {
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"Pinging @stas00",
"Heh, actually I wrote this section: https://www.deepspeed.ai/tutorials/advanced-install/#building-for-the-correct-architectures and the autodetector, since I originally had the same issue.\r\n\r\nThis problem is also partially in pytorch - which is now fixed too in pytorch-nightly.\r\n\r\n `TO... | 1,611 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.3.0 (unofficial, off current main branch)
- Platform: Linux
- Python version: 3.7
- PyTorch version (GPU?): 1.7.1
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: Yes
## Information
Model I am using (Bert, XLNet ...): T-5
The... | {
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https://api.github.com/repos/huggingface/transformers/issues/9708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9708/comments | https://api.github.com/repos/huggingface/transformers/issues/9708/events | https://github.com/huggingface/transformers/pull/9708 | 790,264,576 | MDExOlB1bGxSZXF1ZXN0NTU4NDc5MDIx | 9,708 | fix typo | {
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fix typo
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/9707 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9707/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9707/comments | https://api.github.com/repos/huggingface/transformers/issues/9707/events | https://github.com/huggingface/transformers/pull/9707 | 790,232,980 | MDExOlB1bGxSZXF1ZXN0NTU4NDUyNDc5 | 9,707 | Allow text generation for ProphetNetForCausalLM | {
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"Thanks a lot for fixing it @guillaume-be "
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
The configuration for ProphetNetForCausalLM is overwritten at initialization to ensure that it is used as a decoder (and not as an encoder_decoder) for text generation.
The initialization of the parent class for ProphetNetForCausalLM is done before this overwrite, causing the `model.config... | {
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https://api.github.com/repos/huggingface/transformers/issues/9706 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9706/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9706/comments | https://api.github.com/repos/huggingface/transformers/issues/9706/events | https://github.com/huggingface/transformers/pull/9706 | 790,163,401 | MDExOlB1bGxSZXF1ZXN0NTU4Mzk0NjUz | 9,706 | [PR/Issue templates] normalize, group, sort + add myself for deepspeed | {
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"Once the PR template is complete and everybody is happy I will sync with the Issue template. So please only review the former if you're just joining in.",
"should we add bullets? As in:\r\n\r\n```\r\n\r\nModels:\r\n\r\n- albert, bert, xlm: @LysandreJik\r\n- blenderbot, bart, marian, pegasus, encoderdecoder, long... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | This PR:
* case-normalizes, groups and sorts the tagging entries
* removes one duplicate
* adds myself for deepspeed
* adds/removes/moves others based on their suggestions through this PR
@LysandreJik, @sgugger, @patrickvonplaten
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https://api.github.com/repos/huggingface/transformers/issues/9705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9705/comments | https://api.github.com/repos/huggingface/transformers/issues/9705/events | https://github.com/huggingface/transformers/pull/9705 | 790,153,146 | MDExOlB1bGxSZXF1ZXN0NTU4Mzg2MDg2 | 9,705 | [deepspeed] fix the backward for deepspeed | {
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"Thanks for fixing!"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | This PR fixes a bug in my deepspeed integration - `backward` needs to be called on the deepspeed object.
@sgugger
Fixes: https://github.com/huggingface/transformers/issues/9694
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https://api.github.com/repos/huggingface/transformers/issues/9704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9704/comments | https://api.github.com/repos/huggingface/transformers/issues/9704/events | https://github.com/huggingface/transformers/issues/9704 | 790,152,367 | MDU6SXNzdWU3OTAxNTIzNjc= | 9,704 | ValueError("The training dataset must have an asserted cardinality") when running run_tf_ner.py | {
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"Maybe @jplu has an idea!",
"Hello!\r\n\r\nThis error is always raised by the TFTrainer when your dataset has not a cardinality attached.\r\n\r\nCan you give me the version of the `run_tf_ner.py` you are using please?",
"The run_tf_ner.py I used was downloaded from this https://github.com/huggingface/transforme... | 1,611 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.2.0
- Platform: linux
- Python version: python3.6
- PyTorch version (GPU?): 1.7.1 gpu
- Tensorflow version (GPU?):2.4.0
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?:no
### Who can help
@stefan-it
## Information
Model I a... | {
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https://api.github.com/repos/huggingface/transformers/issues/9703 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9703/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9703/comments | https://api.github.com/repos/huggingface/transformers/issues/9703/events | https://github.com/huggingface/transformers/pull/9703 | 790,148,629 | MDExOlB1bGxSZXF1ZXN0NTU4MzgyMjg1 | 9,703 | Fix WAND_DISABLED test | {
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As reported in #9699, the test for the WAND_DISABLED environment variable is not working right now. This PR fixes that.
Fixes #9699
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https://api.github.com/repos/huggingface/transformers/issues/9702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9702/comments | https://api.github.com/repos/huggingface/transformers/issues/9702/events | https://github.com/huggingface/transformers/issues/9702 | 790,099,554 | MDU6SXNzdWU3OTAwOTk1NTQ= | 9,702 | ProphetNetForCausalLM text generation fails | {
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"You're totally right @gui11aume! Thanks for posting this issue - it would be great if you could open a PR to fix it. The checkpoint I uploaded won't work well because I just took the decoder part of the encoder-decoder model and removed all cross-attention layer. The model would have to be fine-tuned to work corre... | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: latest master (4.3.0.dev0)
- Platform: win64
- Python version: 3.7
- PyTorch version (GPU?): 1.7
- Tensorfl... | {
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https://api.github.com/repos/huggingface/transformers/issues/9701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9701/comments | https://api.github.com/repos/huggingface/transformers/issues/9701/events | https://github.com/huggingface/transformers/issues/9701 | 789,993,047 | MDU6SXNzdWU3ODk5OTMwNDc= | 9,701 | how to run pegasus finetune on multiple gpus | {
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"Please use the [forums](https://discuss.huggingface.co/) to ask questions like this. Also note that there is no `finetune` script in the example folder anymore, so you should probably be using `finetune_trainer` or `run_seq2seq`."
] | 1,611 | 1,611 | 1,611 | NONE | null | ## Environment Information
- transformers version: 4.2.0dev0
- Platform: Linux-3.10.0-1062.18.1.el7.x86_64-x86_64-with-centos-7.7.1908-Core
- Python version: 3.7.3
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?): 2.4.0 (False)
- Using GPU in script?:
- Using distributed or parallel set-up in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9700 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9700/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9700/comments | https://api.github.com/repos/huggingface/transformers/issues/9700/events | https://github.com/huggingface/transformers/issues/9700 | 789,978,878 | MDU6SXNzdWU3ODk5Nzg4Nzg= | 9,700 | NAN return from F.softmax function in pytorch implementation of BART self-attention | {
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"It may cause similar issues in other models and other versions of the same model as well.",
"HI @KaiQiangSong \r\n\r\nWe haven't yet observed `NaN`s with BART specifically, could you post a code snippet where the model returns `NaN` so we could take a look ?",
"> HI @KaiQiangSong\r\n> \r\n> We haven't yet obse... | 1,611 | 1,619 | 1,619 | NONE | null | Pytorch 1.7.1 with GPU
transformers 3.0.2
Filling all masked positions with "-inf" may cause a NAN issue for softmax function returns. | {
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https://api.github.com/repos/huggingface/transformers/issues/9699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9699/comments | https://api.github.com/repos/huggingface/transformers/issues/9699/events | https://github.com/huggingface/transformers/issues/9699 | 789,973,748 | MDU6SXNzdWU3ODk5NzM3NDg= | 9,699 | WANDB_DISABLED env variable not working as expected | {
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"You're right, thanks for reporting! The PR mentioned above should fix that."
] | 1,611 | 1,611 | 1,611 | 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: 4.2.1
- Platform: Linux-5.4.34-1-pve-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?):... | {
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"Hello! It's currently not implemented for DeBERTa, unfortunately. Following the document you linked, it should be pretty easy to do it in a script!",
"Hi @LysandreJik ,\r\n\r\nWill DeBERTa (or any of RoBERTa, ALBERT) work if I separate these layers as two or three parts and connect them sequentially?\r\nBecause ... | 1,611 | 1,619 | 1,619 | NONE | null |
Hi,
Is there any way to apply [Model Parallelism](https://pytorch.org/tutorials/intermediate/model_parallel_tutorial.html#apply-model-parallel-to-existing-modules) for DeBERTa ?
I want to run 'microsoft/deberta-large' on 2 GPU's (32 GB each) using [PyTorch's Model Parallelism](https://pytorch.org/tutorials/inte... | {
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"Thanks for fixing!"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
Fix a template issue for TF. | {
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https://api.github.com/repos/huggingface/transformers/issues/9696 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9696/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9696/comments | https://api.github.com/repos/huggingface/transformers/issues/9696/events | https://github.com/huggingface/transformers/pull/9696 | 789,883,305 | MDExOlB1bGxSZXF1ZXN0NTU4MTYwOTc1 | 9,696 | Add notebook | {
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Add a notebook to the list of community notebooks, illustrating how you can fine-tune `LayoutLMForSequenceClassification` for classifying scanned documents, just as invoices or resumes.
## Who can review?
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/9695 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9695/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9695/comments | https://api.github.com/repos/huggingface/transformers/issues/9695/events | https://github.com/huggingface/transformers/issues/9695 | 789,872,170 | MDU6SXNzdWU3ODk4NzIxNzA= | 9,695 | The model learns nothing after 3 epochs of training | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead? You'll get more answers over there.\r\n\r\nThanks!"
] | 1,611 | 1,611 | 1,611 | NONE | null | I have trained a multilingual Bert model on 3 different input data configurations ( imbalanced, partial balanced, and full balanced) for the sentiment classification task. Everything works fine so far, except the zero-shot model being trainined on the full balanced dataset (training data: label balanced data; val/test ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9694 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9694/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9694/comments | https://api.github.com/repos/huggingface/transformers/issues/9694/events | https://github.com/huggingface/transformers/issues/9694 | 789,835,800 | MDU6SXNzdWU3ODk4MzU4MDA= | 9,694 | ModuleAttributeError: 'GPT2LMHeadModel' object has no attribute 'backward' | {
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"> It would appear that line 1286 in trainer.py actually calls the backward method on the model, not the loss object. I will try rebuilding after fixing that line and seeing if it helps.\r\n\r\nThis is incorrect. It appears that the ``model_wrapped.module`` in the aforementioned trainer.py actually resolves to GPT2... | 1,611 | 1,611 | 1,611 | 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: 4.2.1
- Platform: Linux-4.19.0-12-cloud-amd64-x86_64-with-debian-10.6
- Python version: 3.7.8
- PyTorch vers... | {
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] | 1,611 | 1,611 | 1,611 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform:
- Python version: 3.7
- PyTorch version (GPU?):
- Tensorflow version (GPU?): None
- Using GPU... | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead? You'll get more answers there!\r\n\r\nThanks!"
] | 1,611 | 1,611 | 1,611 | NONE | null | Hello,
I want to create a model which generates text and the generated text is input to other model. So basically two models are trained together. How can i achieve this using hugging face?
Thanks | {
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"Thanks for the review @LysandreJik, the test did fail because of the pooler. Is fixed now!"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | This PR adds 3 head models on top of the DeBERTa base model: `DebertaForMaskedLM`, `DebertaForTokenClassification`, `DebertaForQuestionAnswering`. These are mostly copied from `modeling_bert.py` with bert->deberta.
## Who can review?
@LysandreJik
Also tagging original DeBERTa author: @BigBird01
Fixes #968... | {
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https://api.github.com/repos/huggingface/transformers/issues/9690 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9690/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9690/comments | https://api.github.com/repos/huggingface/transformers/issues/9690/events | https://github.com/huggingface/transformers/issues/9690 | 789,754,626 | MDU6SXNzdWU3ODk3NTQ2MjY= | 9,690 | Is there a C++ interface? | {
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"No, only Python.",
"> No, only Python.\r\n\r\nthx.\r\nIt means that using torch cannot call bert with c++, right?"
] | 1,611 | 1,611 | 1,611 | NONE | null |
Is there a C++ interface? transformers | {
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"Looking at the [docs](https://huggingface.co/transformers/model_doc/deberta.html), it seems like there's currently no `DeBERTaForMaskedLM` defined. I will make a PR that adds this."
] | 1,611 | 1,611 | 1,611 | NONE | null | When I ran the example script run_mlm.py to fine tune the pretrained deberta model on a customized dataset, I got the following error. The same command worked for roberta-base.
The command:
python run_mlm.py --model_name_or_path 'microsoft/deberta-base' --train_file slogans/train.txt --validation_file slogans/test.... | {
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https://api.github.com/repos/huggingface/transformers/issues/9688 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9688/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9688/comments | https://api.github.com/repos/huggingface/transformers/issues/9688/events | https://github.com/huggingface/transformers/issues/9688 | 789,612,309 | MDU6SXNzdWU3ODk2MTIzMDk= | 9,688 | [Open in Colab] links not working in examples/README.md | {
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"Hi @wilcoln \r\n\r\nYes, the links point to Github, feel free to open a PR to replace the GitHub links with colab :). Thanks!"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | For the following tasks below, the  button contains github links instead of colab links.
- question-answering
- text-classification
- token-classification
@sgugger
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"Hello! To make sure I understand your issue, you're doing the following:\r\n\r\n```py\r\nAutoTokenizer.from_pretrained('facebook/blenderbot-400M-distill')\r\n```\r\n\r\non a node which has internet access, and then you're doing the same once you have no internet access. You want the library to rely on the cache th... | 1,611 | 1,619 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.2.1
- Platform: Linux-3.10.0-957.5.1.el7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/9686 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9686/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9686/comments | https://api.github.com/repos/huggingface/transformers/issues/9686/events | https://github.com/huggingface/transformers/issues/9686 | 789,493,552 | MDU6SXNzdWU3ODk0OTM1NTI= | 9,686 | BertGenerationDecoder .generate() issue during inference with PyTorch Lightning | {
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"Hi @anicolson ,\r\n\r\nWe would love to help, but sadly when you post such a long script it will be very hard and time-consuming for us to take a look at. We're happy to assist if you could provide a short, precise, and complete code snippet that is based on Transformers Seq2SeqTrainer only. Here's our guide on [... | 1,611 | 1,689 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.2.1
- Platform: Ubuntu 20.04.1 LTS
- Python version: 3.8.5
- PyTorch version: 1.7.1
- Using GPU in script... | {
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https://api.github.com/repos/huggingface/transformers/issues/9685 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9685/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9685/comments | https://api.github.com/repos/huggingface/transformers/issues/9685/events | https://github.com/huggingface/transformers/pull/9685 | 789,459,489 | MDExOlB1bGxSZXF1ZXN0NTU3ODAxMDUw | 9,685 | Fix Trainer and Args to mention AdamW, not Adam. | {
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"Thanks for opening the PR. As it stands this would break every existing script leveraging the parameters defined, so renaming the parameters is probably not the way to go.\r\n\r\n@sgugger, your insight on this would be very welcome.\r\n\r\n",
"There is no reason to change all the names of the parameters indeed, ... | 1,611 | 1,612 | 1,611 | CONTRIBUTOR | null | This PR fixed the issue with Docs and labels in Trainer and TrainingArguments Class for AdamW, current version mentions adam in several places.
Fixes #9628
The Trainer class in `trainer.py` uses AdamW as the default optimizer. The TrainingArguments class mentions it as Adam in the documentation, which was confu... | {
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https://api.github.com/repos/huggingface/transformers/issues/9684 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9684/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9684/comments | https://api.github.com/repos/huggingface/transformers/issues/9684/events | https://github.com/huggingface/transformers/pull/9684 | 789,391,040 | MDExOlB1bGxSZXF1ZXN0NTU3NzQxMDU3 | 9,684 | Fix model templates and use less than 119 chars | {
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This PR fixes the model templates that were broken by #9596 (copies not inline with the original anymore). In passing since I'm a dictator, I've rewritten the warning to take less than 119 chars.
Will merge as soon as CI is green. | {
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https://api.github.com/repos/huggingface/transformers/issues/9683 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9683/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9683/comments | https://api.github.com/repos/huggingface/transformers/issues/9683/events | https://github.com/huggingface/transformers/pull/9683 | 789,366,584 | MDExOlB1bGxSZXF1ZXN0NTU3NzE5ODEx | 9,683 | Fix Funnel Transformer conversion script | {
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"Do not miss ```transformers/cammand/convert.py``` for ```transformer-cli``` user.\r\nNeed ```base_model``` arg for ```convert_tf_checkpoint_to_pytorch(self._tf_checkpoint, self._config, self._pytorch_dump_output)```."
] | 1,611 | 1,611 | 1,611 | COLLABORATOR | null | # What does this PR do?
The conversion script was using the wrong kind of model, so wasn't working. I've also added the option to convert the base models.
Fixes #9644
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https://api.github.com/repos/huggingface/transformers/issues/9682 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9682/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9682/comments | https://api.github.com/repos/huggingface/transformers/issues/9682/events | https://github.com/huggingface/transformers/pull/9682 | 789,348,988 | MDExOlB1bGxSZXF1ZXN0NTU3NzA0Mzg4 | 9,682 | Add a community page to the docs | {
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This PR adds a new "community" page in the documentation that aims to gather information about all resources developed by the community. I copied all the community notebooks there, and we have an open PR that will also populate it. | {
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https://api.github.com/repos/huggingface/transformers/issues/9681 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9681/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9681/comments | https://api.github.com/repos/huggingface/transformers/issues/9681/events | https://github.com/huggingface/transformers/pull/9681 | 789,335,134 | MDExOlB1bGxSZXF1ZXN0NTU3NjkyNDAy | 9,681 | Restrain tokenizer.model_max_length default | {
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Apply the same fix to `run_mlm` (when line_by_line is not selected) as we did previously in `run_clm`. Since the tokenizer model_max_length can be excessively large, we should restrain it when no `max_seq_length` is passed.
Fixes #9665 | {
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https://api.github.com/repos/huggingface/transformers/issues/9680 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9680/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9680/comments | https://api.github.com/repos/huggingface/transformers/issues/9680/events | https://github.com/huggingface/transformers/issues/9680 | 789,329,278 | MDU6SXNzdWU3ODkzMjkyNzg= | 9,680 | Generating sentence embeddings from pretrained transformers model | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,611 | 1,611 | 1,611 | NONE | null | Hi, I have a pretrained BERT based model hosted on huggingface.
https://huggingface.co/microsoft/SportsBERT
How do I generate sentence vectors using this model? I have explored sentence bert but it doesn't allow you to use custom trained models. I have also seen Bert as a client. It works but for my current scenar... | {
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https://api.github.com/repos/huggingface/transformers/issues/9679 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9679/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9679/comments | https://api.github.com/repos/huggingface/transformers/issues/9679/events | https://github.com/huggingface/transformers/issues/9679 | 789,317,237 | MDU6SXNzdWU3ODkzMTcyMzc= | 9,679 | Visualize self-attention for GLUE task | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,611 | 1,611 | 1,611 | NONE | null | Is there a way to visualize the self-attention weights for different spans in a sentence, for instance, a sequence classification task inside [`run_glue.py`](https://github.com/huggingface/transformers/blob/master/examples/text-classification/run_glue.py)?
[See here for a sample](https://imgur.com/a/7gAJvCJ) | {
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https://api.github.com/repos/huggingface/transformers/issues/9678 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9678/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9678/comments | https://api.github.com/repos/huggingface/transformers/issues/9678/events | https://github.com/huggingface/transformers/issues/9678 | 789,226,541 | MDU6SXNzdWU3ODkyMjY1NDE= | 9,678 | bert-base-cased predicts tokens instead of whole words after fine-tuning on fill-mask task | {
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"The pipeline for masked filling can only be used to fill one token, so you should be using different code for your evaluation if you want to be able to predict more than one masked token.",
"> The pipeline for masked filling can only be used to fill one token, so you should be using different code for your evalu... | 1,611 | 1,611 | 1,611 | 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: 4.2.1
- Platform: Linux-4.15.0-126-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch... | {
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https://api.github.com/repos/huggingface/transformers/issues/9677 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9677/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9677/comments | https://api.github.com/repos/huggingface/transformers/issues/9677/events | https://github.com/huggingface/transformers/pull/9677 | 789,210,908 | MDExOlB1bGxSZXF1ZXN0NTU3NTg3MjIw | 9,677 | Use datasets squad_v2 metric in run_qa | {
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The `run_qa` example script was using a copied and fixed version of the "squad_v2" version while waiting for the fix to be merged and released in datasets. That is now the case, so removing the band-aid and adjusting the version of datasets in requirements.
Fixes #9620
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https://api.github.com/repos/huggingface/transformers/issues/9676 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9676/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9676/comments | https://api.github.com/repos/huggingface/transformers/issues/9676/events | https://github.com/huggingface/transformers/pull/9676 | 789,082,442 | MDExOlB1bGxSZXF1ZXN0NTU3NDgwMTM2 | 9,676 | Fix GPT conversion script | {
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One forgotten file in #9674, sorry about that! | {
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https://api.github.com/repos/huggingface/transformers/issues/9675 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9675/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9675/comments | https://api.github.com/repos/huggingface/transformers/issues/9675/events | https://github.com/huggingface/transformers/pull/9675 | 789,078,351 | MDExOlB1bGxSZXF1ZXN0NTU3NDc2Njg4 | 9,675 | Fix old Seq2SeqTrainer | {
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Removes the reference to the `_actual_model` method that was removed recently in the old `Seq2SeqTrainer`. | {
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https://api.github.com/repos/huggingface/transformers/issues/9674 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9674/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9674/comments | https://api.github.com/repos/huggingface/transformers/issues/9674/events | https://github.com/huggingface/transformers/pull/9674 | 789,072,044 | MDExOlB1bGxSZXF1ZXN0NTU3NDcxNDEz | 9,674 | Fix imports in conversion scripts | {
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During the rework of the new init for fast imports, all absolute imports were switched to relative ones indiscriminately (because they usually don't work anymore for the core of the lib). However, the conversion scripts are supposed to be executed as scripts and relative imports can't work th... | {
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https://api.github.com/repos/huggingface/transformers/issues/9673 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9673/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9673/comments | https://api.github.com/repos/huggingface/transformers/issues/9673/events | https://github.com/huggingface/transformers/pull/9673 | 789,047,964 | MDExOlB1bGxSZXF1ZXN0NTU3NDUxMTI0 | 9,673 | add mbart to automodel for masked lm | {
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https://api.github.com/repos/huggingface/transformers/issues/9672 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9672/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9672/comments | https://api.github.com/repos/huggingface/transformers/issues/9672/events | https://github.com/huggingface/transformers/issues/9672 | 788,913,441 | MDU6SXNzdWU3ODg5MTM0NDE= | 9,672 | AttributeError: 'Seq2SeqTrainer' object has no attribute '_actual_model' | {
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"Hi @caralen \r\n\r\nthe `Seq2SeqTrainer` is now integrated with the main lib, now it's under `src/trainer_seq2seq.py`, and the seq2seq_trainer in examples is about to be deprecated, this bug is fixed in the new version, so I would recommend you to use the new`Seq2SeqTrainer` from the lib rather than examples folde... | 1,611 | 1,611 | 1,611 | NONE | null | _actual_model method is not defined in the Seq2SeqTrainer class, nor in the Trainer class from which is derived
https://github.com/huggingface/transformers/blob/12c1b5b8f448d652f5e1fa0f069b9569f4540948/examples/seq2seq/seq2seq_trainer.py#L63 | {
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https://api.github.com/repos/huggingface/transformers/issues/9671 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9671/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9671/comments | https://api.github.com/repos/huggingface/transformers/issues/9671/events | https://github.com/huggingface/transformers/issues/9671 | 788,896,093 | MDU6SXNzdWU3ODg4OTYwOTM= | 9,671 | How to enable tokenizer padding option in feature extraction pipeline? | {
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"Hi! I think you're looking for `padding=\"longest\"`?",
"Your result if of length 512 because you asked `padding=\"max_length\"`, and the tokenizer max length is 512. If you ask for `\"longest\"`, it will pad up to the longest value in your batch:\r\n\r\n```py\r\n>>> text = \"After stealing money from the bank v... | 1,611 | 1,619 | 1,619 | NONE | null | I am trying to use our pipeline() to extract features of sentence tokens.
Because the lengths of my sentences are not same, and I am then going to feed the token features to RNN-based models, I want to padding sentences to a fixed length to get the same size features.
Before knowing our convenient pipeline() method, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9670 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9670/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9670/comments | https://api.github.com/repos/huggingface/transformers/issues/9670/events | https://github.com/huggingface/transformers/issues/9670 | 788,843,889 | MDU6SXNzdWU3ODg4NDM4ODk= | 9,670 | bert_tokenizer.decode(bert_tokenizer.encode(sentence))!=sentence | {
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"Hi! This is a normal behavior of the BERT tokenizer. You can add the tokens you do not wish to see split to the vocabulary:\r\n```py\r\n>>> tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')\r\n... tokenizer.add_tokens([\"no_passages_used\"]) # <--------------------------------- Here\r\n... paragraph =... | 1,611 | 1,611 | 1,611 | NONE | null | from transformers import AutoTokenizer # transformers==4.2.1
tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
paragraph = "no_passages_used __knowledge__ no_passages_used"
print(tokenizer.encode(paragraph))
print(tokenizer.decode(tokenizer.encode(paragraph)))
"""
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https://api.github.com/repos/huggingface/transformers/issues/9669 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9669/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9669/comments | https://api.github.com/repos/huggingface/transformers/issues/9669/events | https://github.com/huggingface/transformers/pull/9669 | 788,794,997 | MDExOlB1bGxSZXF1ZXN0NTU3MjQwNDgw | 9,669 | [Bart-like tests] Fix torch device for bart tests | {
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https://api.github.com/repos/huggingface/transformers/issues/9668 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9668/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9668/comments | https://api.github.com/repos/huggingface/transformers/issues/9668/events | https://github.com/huggingface/transformers/issues/9668 | 788,675,954 | MDU6SXNzdWU3ODg2NzU5NTQ= | 9,668 | Cannot compile tokenizers on PowerPC 9 while installing transformers | {
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"Hello! Could you open an issue on the [tokenizers](https://github.com/huggingface/tokenizers) repository instead? @n1t0 will probably know what's up!",
"Done! https://github.com/huggingface/tokenizers/issues/604",
"This is actually a transformers problem I think. It's the old versions of tokenizers imported us... | 1,611 | 1,611 | 1,611 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.4.0
- Platform: PowerPC 9
- Python version: 3.7.7
- PyTorch version (GPU?): 1.5 w/ GPU
- Tensorflow versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/9667 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9667/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9667/comments | https://api.github.com/repos/huggingface/transformers/issues/9667/events | https://github.com/huggingface/transformers/pull/9667 | 788,576,398 | MDExOlB1bGxSZXF1ZXN0NTU3MDYyMjM0 | 9,667 | Add new model docs | {
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https://api.github.com/repos/huggingface/transformers/issues/9666 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9666/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9666/comments | https://api.github.com/repos/huggingface/transformers/issues/9666/events | https://github.com/huggingface/transformers/issues/9666 | 788,564,570 | MDU6SXNzdWU3ODg1NjQ1NzA= | 9,666 | Fine-tuning LM with NSP | {
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"Hi @ahmedkotb98 \r\n\r\nWe would love to help, but it would be better if you could only post the relevant minimal code snippet to reproduce the issue, rather than a bunch of scripts.\r\n\r\nAlso, it's better to ask such type of questions on the [forum](https://discuss.huggingface.co/) first. Here's our guide on [h... | 1,611 | 1,619 | 1,619 | NONE | null | Environment info
transformers-4.2.1
PyTorch
tokenizers-0.9.4
sentencepiece-0.1.95
when finetuning bert my script run as well but not complete the running and because of this error Traceback (most recent call last):
File "/content/run.py", line 757, in <module>
main()
File "/content/run.py", line 656, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9665 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9665/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9665/comments | https://api.github.com/repos/huggingface/transformers/issues/9665/events | https://github.com/huggingface/transformers/issues/9665 | 788,559,996 | MDU6SXNzdWU3ODg1NTk5OTY= | 9,665 | IndexError: index out of bounds when running run_mlm.py | {
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"@sgugger ",
"It's very hard to help you without being able to reproduce the bug. Could you share a small version of your csv file that reproduces it?",
"Yes, no problem. I just tried with a sample created from the `head`of my `full_corpus.csv` file and got the same error. This is the head:\r\n\r\n```\r\nA toma... | 1,611 | 1,611 | 1,611 | 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: 4.3.0.dev0
- Platform: Linux-4.15.0-46-generic-x86_64-with-Ubuntu-16.04-xenial
- Python version: 3.6.7
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"Hello! Are you sure you checked in v4.2.1? I just checked on both `master` and v4.2.1 and the code executes (as it should!).\r\n\r\nThe `return_dict` was set to be `True` by default in v4.0.0.",
"My bad, I was in the wrong pyenv. Closing the PR."
] | 1,611 | 1,611 | 1,611 | NONE | null | # What does this PR do?
Fixes a crash in [Summary of the tasks](https://huggingface.co/transformers/task_summary.html) documentation, by adding `return_dict=True` to the model() function, as we need `start_logits` and `end_logits` afterwards.
## Fixes
[Issue 9043](https://github.com/huggingface/transformers/issues... | {
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https://api.github.com/repos/huggingface/transformers/issues/9663 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9663/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9663/comments | https://api.github.com/repos/huggingface/transformers/issues/9663/events | https://github.com/huggingface/transformers/pull/9663 | 788,536,778 | MDExOlB1bGxSZXF1ZXN0NTU3MDMwMTA5 | 9,663 | Fix DPRReaderTokenizer's attention_mask | {
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"Thank you both. Should I close the corresponding issue?",
"Just did! Thanks!"
] | 1,611 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes an issue with the `attention_mask` not being properly generated by the DPRReaderTokenizer. Please see issue #9555 for more details.
I added an integration test that checks the DPRReader following a similar example in the test file.
I have some test failures due to
```
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https://api.github.com/repos/huggingface/transformers/issues/9662 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9662/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9662/comments | https://api.github.com/repos/huggingface/transformers/issues/9662/events | https://github.com/huggingface/transformers/pull/9662 | 788,380,819 | MDExOlB1bGxSZXF1ZXN0NTU2OTAyMzUx | 9,662 | Fix TFTrainer prediction output | {
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"Sorry for the confusion. Here is a detailed description of the first issue:\r\n\r\nIf the number of examples is divisible by eval_batch_size, the first batch is predicted twice. Say we have the following examples (n=8): A, B, C, D, E, F, G, H and eval_batch_size = 4. This will create 2 batches: (A,B,C,D) and (E,F,... | 1,610 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"I'm checking what is going wrong as the tests of equivalence should not fail.",
"Ok, now it works 👍 "
] | 1,610 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
By doing some experiments on Flaubert and XLM I realized that building a model with a `None` argument forces this value to be `None` when served. Then to fix this issue, the build takes a proper input without a `None` value.
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https://api.github.com/repos/huggingface/transformers/issues/9660 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9660/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9660/comments | https://api.github.com/repos/huggingface/transformers/issues/9660/events | https://github.com/huggingface/transformers/issues/9660 | 788,319,662 | MDU6SXNzdWU3ODgzMTk2NjI= | 9,660 | run_ner.py crashes when dev or test contain previously unseen labels | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,610 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.2.0dev0
- Platform: Linux-3.10.0-1127.19.1.el7.x86_64-x86_64-with-centos-7.8.2003-Core
- Python version: 3.6.8
- PyTorch version (GPU?): 1.7.1+cu110 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or paralle... | {
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https://api.github.com/repos/huggingface/transformers/issues/9659 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9659/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9659/comments | https://api.github.com/repos/huggingface/transformers/issues/9659/events | https://github.com/huggingface/transformers/pull/9659 | 788,270,999 | MDExOlB1bGxSZXF1ZXN0NTU2ODEwOTQ3 | 9,659 | Wav2Vec2 | {
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"hi @patrickvonplaten thank you for creating this PR and converting some model from original to test it\r\n\r\ni want to test by convert XLSR [model](https://github.com/pytorch/fairseq/tree/master/examples/wav2vec ) using your `convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.py`\r\n\r\nby following command ... | 1,610 | 1,614 | 1,612 | MEMBER | null | # What does this PR do?
Adds Wav2Vec2 from https://github.com/pytorch/fairseq/blob/master/examples/wav2vec/README.md
This PR adds the wav2vec2 Acoustic model to Transformers. The model is different from "conventional" transformer
models since it classifies a raw waveform input (float array) into logits. Therefor... | {
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https://api.github.com/repos/huggingface/transformers/issues/9658 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9658/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9658/comments | https://api.github.com/repos/huggingface/transformers/issues/9658/events | https://github.com/huggingface/transformers/issues/9658 | 788,243,617 | MDU6SXNzdWU3ODgyNDM2MTc= | 9,658 | Tokenizstion | {
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"So in short:\r\n- in public open-source projects like this you can say \"Hi all\" or \"Hi folks\", this way you'll address contributors of all genders\r\n- also, do you mind closing this issue and opening a thread on the forum at https://discuss.huggingface.co? We keep the issues for bug reports and feature reques... | 1,610 | 1,610 | 1,610 | NONE | null | Hi all, help me please. I'm trying to solve multilingual WiC problem using XLM-R.
I have a word and a sentence, that has this word, but may be in different form. So I want to find the position of its token ids in an encoded sentence.
There problems with Chinese, cause they don't have space between many symbols and ... | {
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"Hi, how did you obtain your TensorFlow checkpoint? Was it trained with http://github.com/google-research/bert?",
"Hi @LysandreJik,\r\n\r\nThank you for giving me the comment.\r\n\r\nThe TensorFlow checkpoint is not my own but is provided by a researcher. There may be my misreading about the related paper, but in... | 1,610 | 1,619 | 1,619 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.1.1
- Platform: Linux-4.15.0-129-generic-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyTorch version (GPU?): 1.7.0 (True)
- Tensorflow version (GPU?): 2.3.1 (True)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>
... | {
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"Hi! Indeed this link needs to be updated. Do you want to open a PR to fix it?",
"@LysandreJik \r\nThank you for your comment! I'd love to open a PR to fix it.\r\nI would like to open a PR by the end of this week.\r\n\r\nShould I devise a way to change the link destination from the document before and after the c... | 1,610 | 1,611 | 1,611 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: v4.2.0+
### Who can help
documentation: @sgugger
## Information
I'd like to convert BERT ckpt to PyTorch, and read [Converting Tensorflow Checkpoints](https://huggingface.co/transformers/converting_tensorflow_models.html) document.
It seems that the link to... | {
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"No it’s still there and still identical. It’s just that you made a typo and typed `encoder_plus` instead of `encode_plus` for what I can tell.\r\n\r\nThough we recommand using just the `__call__` method now which is a shortcut wrapping all the encode method in a single API. You can read more details on the additio... | 1,610 | 1,685 | 1,611 | NONE | null | I see that from version 2.4.0 I was able to use `encode_plus()` with `BertTokenizer`
However it seems like that is not the case anymore.
`AttributeError: 'BertTokenizer' object has no attribute 'encoder_plus'`
Is there a replacement to `encode_plus`? | {
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https://api.github.com/repos/huggingface/transformers/issues/9654 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9654/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9654/comments | https://api.github.com/repos/huggingface/transformers/issues/9654/events | https://github.com/huggingface/transformers/pull/9654 | 788,206,634 | MDExOlB1bGxSZXF1ZXN0NTU2NzU2NzM1 | 9,654 | Add t5 convert to transformers-cli | {
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"Can we trigger the CI again to make sure all tests are passing? Think you can add an empty git commit with \r\n\r\n```\r\ngit commit --allow-empty -m \"Trigger notification\"\r\n```",
"@patrickvonplaten done it!..it seems failing 1 check only",
"@patrickvonplaten all seems good now...kindly check"
] | 1,610 | 1,611 | 1,611 | CONTRIBUTOR | null | # What does this PR do?
add t5 model convert to transformers-cli
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#star... | {
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https://api.github.com/repos/huggingface/transformers/issues/9653 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9653/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9653/comments | https://api.github.com/repos/huggingface/transformers/issues/9653/events | https://github.com/huggingface/transformers/issues/9653 | 788,159,869 | MDU6SXNzdWU3ODgxNTk4Njk= | 9,653 | AutoModelForMaskedLM not working when using MBartForConditionalGeneration architecture. | {
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"Hey @moussaKam, \r\n\r\nThanks for your issue! My opinion here is the following:\r\n\r\n- `MBartForConditionalGeneration` should not work with `AutoModelForMaskedLM`, but only with `AutoModelForSeq2SeqLM` -> it's not a Bert-like autoencoding model, but an encoder-decoder model.\r\n- You are completely right in tha... | 1,610 | 1,611 | 1,611 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.2.1
- Platform: Linux-4.4.0-197-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9652 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9652/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9652/comments | https://api.github.com/repos/huggingface/transformers/issues/9652/events | https://github.com/huggingface/transformers/pull/9652 | 788,137,431 | MDExOlB1bGxSZXF1ZXN0NTU2Njk4MzM2 | 9,652 | Update integrations.py | {
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self._SummaryWriter = SummaryWriter
UnboundLocalError: local variable 'SummaryWriter' referenced before assignment
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/9651 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9651/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9651/comments | https://api.github.com/repos/huggingface/transformers/issues/9651/events | https://github.com/huggingface/transformers/issues/9651 | 788,125,505 | MDU6SXNzdWU3ODgxMjU1MDU= | 9,651 | RAG Fine Tuning | {
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"It is already [here](https://github.com/huggingface/transformers/tree/master/examples/research_projects/rag) .",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that ... | 1,610 | 1,619 | 1,619 | NONE | null | How do we train RAG mode with custom data set.
Can we have detailed document on this.
Thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/9650 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9650/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9650/comments | https://api.github.com/repos/huggingface/transformers/issues/9650/events | https://github.com/huggingface/transformers/issues/9650 | 787,909,993 | MDU6SXNzdWU3ODc5MDk5OTM= | 9,650 | Error w/Transformers 4.2.0 and TF Nightly | {
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"Hello!\r\n\r\nPlease update to v4.2.1",
"This worked, thanks!"
] | 1,610 | 1,611 | 1,611 | NONE | null | @jplu I am running into issues when running transformers w/tf-nightly.
I get the error when I am trying to load the TFDistilBERT model:
`model = TFDistilBertModel.from_pretrained('distilbert-base-uncased')`
this is the error message:
```
ImportError:
TFDistilBertModel requires the TensorFlow library but i... | {
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https://api.github.com/repos/huggingface/transformers/issues/9649 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9649/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9649/comments | https://api.github.com/repos/huggingface/transformers/issues/9649/events | https://github.com/huggingface/transformers/issues/9649 | 787,856,954 | MDU6SXNzdWU3ODc4NTY5NTQ= | 9,649 | Does the latest huggingface-transformers version work with tokenizers==0.10.0? | {
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"Hello! We're [still pinned to 0.9.4](https://github.com/huggingface/transformers/blob/master/setup.py#L134). We'll pass to `0.10.0` soon.",
"@LysandreJik , if possible, could you provide your best guess as to when this requirement will be updated? I'm currently need to train a WordLevel Tokenizer, as well as use... | 1,610 | 1,612 | 1,612 | NONE | null | ## Environment info
- `transformers` version: 4.3.0.dev0
- `tokenizers` version: 0.10.0
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https://api.github.com/repos/huggingface/transformers/issues/9648 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9648/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9648/comments | https://api.github.com/repos/huggingface/transformers/issues/9648/events | https://github.com/huggingface/transformers/issues/9648 | 787,822,136 | MDU6SXNzdWU3ODc4MjIxMzY= | 9,648 | Easier perplexity computation | {
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"Hi @uditarora! That would be a nice addition, do you want to open a PR to add a batched computation to the documentation?",
"Sure! I can try to create one.\r\n\r\nMight take me a couple of weeks before I can get started on it though, due to prior commitments.",
"Hi all. Is this issue still open? I like to cont... | 1,610 | 1,699 | null | NONE | null | # 🚀 Feature request
The docs provide a method to evaluate perplexity for a GPT-2 model, one example at a time (https://huggingface.co/transformers/perplexity.html). However this can potentially be included in the library with the computation being done in a batched manner.
## Motivation
This would make it ea... | {
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https://api.github.com/repos/huggingface/transformers/issues/9647 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9647/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9647/comments | https://api.github.com/repos/huggingface/transformers/issues/9647/events | https://github.com/huggingface/transformers/issues/9647 | 787,810,215 | MDU6SXNzdWU3ODc4MTAyMTU= | 9,647 | Training Bert2Bert with EncoderDecoderModel and Seq2SeqTrainer results with Cuda OOM | {
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"Hello! What is your machine? When you run the script, at which point does it fail? Right off the bat, or after a few sequences have been processed?",
"I have tried it on my local GTX1650 and also on a 16gb T100. They both fail during processing the first sequence. It is not always at the same line but mostly dur... | 1,610 | 1,611 | 1,611 | NONE | null | Hi,
I am trying to train a Bert2Bert model for text summarization. I followed the exact steps in [BERT2BERT for CNN/Dailymail](https://colab.research.google.com/drive/1Ekd5pUeCX7VOrMx94_czTkwNtLN32Uyu?usp=sharing#scrollTo=7zdm50ZotZqb). Only things that I changed are the training arguments and metrics. Additionally I... | {
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https://api.github.com/repos/huggingface/transformers/issues/9646 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9646/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9646/comments | https://api.github.com/repos/huggingface/transformers/issues/9646/events | https://github.com/huggingface/transformers/issues/9646 | 787,800,660 | MDU6SXNzdWU3ODc4MDA2NjA= | 9,646 | RAG : Adding end to end training for the retriever (both question encoder and doc encoder) | {
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" @lhoestq\r\n",
"Interesting :) I don't think I'll be able to work on this in the short term but if anyone wants to give it a try maybe I can help with some indications",
"@lhoestq \r\n\r\nI kind of figured out a way to do this. I need a little clarification from you regarding the distributed retriever. As me... | 1,610 | 1,621 | 1,621 | CONTRIBUTOR | null | # 🚀 Feature request
As mentioned in this recent paper [End-to-End Training of Neural Retrievers for Open-Domain Question Answering](https://arxiv.org/abs/2101.00408), we can get better results for QA tasks if we fine-tune the retriever section in an end-to-end manner.
## Paper's method
Fine-tune both doc-e... | {
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"Hello @danyaljj,\r\n\r\nThis is expected actually. Could you change your code as follows to get the previous results:\r\n\r\n```python\r\nfrom transformers import AutoTokenizer, T5ForConditionalGeneration\r\n\r\nmodel_name = \"allenai/unifiedqa-t5-small\" # you can specify the model size here\r\ntokenizer = AutoTo... | 1,610 | 1,610 | 1,610 | CONTRIBUTOR | null | We are seeing odd predictions by T5 models ([UnifiedQA models](https://github.com/allenai/unifiedqa/)) when using the recent HF version (4.2.1). Here is the discussion: https://github.com/allenai/unifiedqa/issues/11
### Who can help
@TevenLeScao @patrickvonplaten
## To reproduce
Try running the following scri... | {
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"Hi! Could you explain the full procedure? Where did you obtain the Funnel transformer TensorFlow version? Is it a model you trained yourself using another framework? (like this one: https://github.com/laiguokun/Funnel-Transformer)",
"just use the official ones(like this one: https://github.com/laiguokun/Funnel-T... | 1,610 | 1,611 | 1,611 | 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:3.5.1
- Platform:Centos
- Python version:3.7
- PyTorch version (GPU?):1.6.0
- Tensorflow version (GPU?):2.3.... | {
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"Hello @yongyi-wu, \r\n\r\nyes you're right. T5 is not yet fully compatible with 3D attention_mask input. Currently, I won't find enough time to work on adding this feature, but I'll post it under \"Community projects\" in case someone from the community is interested in giving it a shot.\r\n\r\nAlso feel free to o... | 1,610 | 1,672 | 1,620 | NONE | null | ## Environment info
- `transformers` version: 4.2.1
- Platform: Linux
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7.0+cuda11.0
### Who can help
T5: @patrickvonplaten
## Information
The `get_extended_attention_mask()` does not sufficiently address the case with 3D attention mask. The problem emerge... | {
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https://api.github.com/repos/huggingface/transformers/issues/9642 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9642/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9642/comments | https://api.github.com/repos/huggingface/transformers/issues/9642/events | https://github.com/huggingface/transformers/issues/9642 | 787,716,988 | MDU6SXNzdWU3ODc3MTY5ODg= | 9,642 | Multi-GPU inference with Tensorflow backend | {
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"Hello!!\r\n\r\nCan you please share the code you are using as for me it works as expected:\r\n```python\r\nfrom transformers import TFBertModel, BertTokenizer\r\nimport tensorflow as tf\r\n\r\nfirst_strategy = tf.distribute.MirroredStrategy()\r\n\r\nwith first_strategy.scope():\r\n\tmodel = TFBertModel.from_pretra... | 1,610 | 1,620 | 1,620 | NONE | null | Is this already supported maybe? I know that multi-GPU TRAINING is supported with TF* models pretty well. But not inference. What is the recommended way when one wants to do inference for a large batch of text (tens of millions rows)? Currently only one of GPUs gets loaded. Tensorflow have a [guide ](https://www.tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/9641 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9641/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9641/comments | https://api.github.com/repos/huggingface/transformers/issues/9641/events | https://github.com/huggingface/transformers/issues/9641 | 787,596,565 | MDU6SXNzdWU3ODc1OTY1NjU= | 9,641 | Conditional branching logic in modeling_tf_flaubert.py causing errors with TF Graph | {
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"Hello,\r\n\r\nTo help you we need to have more information such as your environement info, and a standalone piece of code to let us reproduce your error. Thanks!",
"As a first guess, I can say that the issue you get might come from a misformed input, can you try with:\r\n```\r\n@tf.function\r\ndef train_step(inp... | 1,610 | 1,610 | 1,610 | NONE | null | Hi @jplu !
I am encountering an error when running the TFFlaubert model inside of a tensorflow graph.
Here is some code to reproduce the issue:
```
import FlaubertTokenizer, TFFlaubertModel, FlaubertConfig
import tensorflow as tf
config=FlaubertConfig.from_pretrained('jplu/tf-flaubert-small-cased', output_a... | {
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https://api.github.com/repos/huggingface/transformers/issues/9640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9640/comments | https://api.github.com/repos/huggingface/transformers/issues/9640/events | https://github.com/huggingface/transformers/pull/9640 | 787,587,683 | MDExOlB1bGxSZXF1ZXN0NTU2MjU2NTQw | 9,640 | Renamed `nlp` variables #9455 | {
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"I can change `unmask` to `unmasker`. And I'll go back and take care of the merge conflicts and `make style` . ",
"I think your rebase went wrong as the diff as suddenly become unreadable. Could you close this PR and open a new one from your branch? Don't hesitate to tag me on it.",
"Hi @terrenceedmonds I don't... | 1,610 | 1,619 | 1,619 | NONE | null | * Give better names to pipeline variables named nlp
* This was desired because nlp was not a descriptive variable name
Fixes # 9455
@Narsil , @sgugger
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https://api.github.com/repos/huggingface/transformers/issues/9639 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9639/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9639/comments | https://api.github.com/repos/huggingface/transformers/issues/9639/events | https://github.com/huggingface/transformers/pull/9639 | 787,569,678 | MDExOlB1bGxSZXF1ZXN0NTU2MjQ0ODQ5 | 9,639 | Add head_mask/decoder_head_mask for TF BART models | {
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"@stancld, thanks so much for tackling this! I think it would be a great addition if we could add a `test_headmasking` method for TF as well. \r\nI think it might be better if we don't try to have the exact test as in PyTorch. For now it should be enough to just leave out all gradient-related statements, like `.bac... | 1,610 | 1,611 | 1,611 | CONTRIBUTOR | null | This PR adds `head_mask` and `decoder_head_mask` input arguments for TF BART-based models. The full list of models is as follows:
* **TFBART**
* **TFMBart**
* **TFBlenderbot**
* **TFBlenderbotSmall**
* **TFMarian**
* **TFPegasus**
This PR can be deemed as a TF counterpart to the PR #9569.
<hr>
**Further... | {
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https://api.github.com/repos/huggingface/transformers/issues/9638 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9638/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9638/comments | https://api.github.com/repos/huggingface/transformers/issues/9638/events | https://github.com/huggingface/transformers/issues/9638 | 787,551,145 | MDU6SXNzdWU3ODc1NTExNDU= | 9,638 | ValueError: Expected floating point type, got <dtype: 'int32'> for TFGPT2LMHeadModel | {
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"@jplu do you have any experience with creating model environments on GCP with TensorFlow?",
"Hello!\r\n\r\nCan you first share your local env and the env you are using on your GCP machine? ",
"Hi @jplu \r\n\r\nThanks for the response. \r\n\r\nFor my local environment I'm on Python 3.6, tenensorflow 2.4, trans... | 1,610 | 1,621 | 1,621 | NONE | null | Hi,
I am trying to serve a gpt2 model online using Google cloud. But when creating model environment I get the error:
```
Create Version failed. Bad model detected with error: "Failed to load model: Unexpected error when loading the model: in user code:\n\n /tmp/custom_lib/transformers/modeling_tf_gpt2.py:551 cal... | {
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https://api.github.com/repos/huggingface/transformers/issues/9637 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9637/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9637/comments | https://api.github.com/repos/huggingface/transformers/issues/9637/events | https://github.com/huggingface/transformers/issues/9637 | 787,548,366 | MDU6SXNzdWU3ODc1NDgzNjY= | 9,637 | XLMRobertaTokenizerFast producing wrong tokenized output | {
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"There are two different subjects being discussed here:\r\n - The tokenization behavior: how punctuation is tokenized, or how the blank spaces are separated from the next token. This is expected behavior and just describes the way this tokenizer (XLMRoberta) works.\r\n - The offset mappings, which as described here... | 1,610 | 1,624 | 1,624 | NONE | null | ## Environment info
- transformers` version: 4.2.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7.0+cu101 (False)
- Tensorflow version (GPU?): 2.4.0 (False)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/9636 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9636/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9636/comments | https://api.github.com/repos/huggingface/transformers/issues/9636/events | https://github.com/huggingface/transformers/issues/9636 | 787,475,043 | MDU6SXNzdWU3ODc0NzUwNDM= | 9,636 | key error when use trainer to fine_tuning a dataset | {
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"I found this Jesus is caused by this description `Here we have the loss since we passed along labels`(url:https://huggingface.co/transformers/main_classes/output.html).so if the column dataset object do not have label(or if the column which represents label have other name ,like'entailment_judgment').the trainer ... | 1,610 | 1,666 | 1,610 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.1.1
- Platform: Linux-3.10.0-693.5.2.el7.x86_64-x86_64-with-centos-7.4.1708-Core
- Python version: 3.7.9
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/9635 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9635/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9635/comments | https://api.github.com/repos/huggingface/transformers/issues/9635/events | https://github.com/huggingface/transformers/issues/9635 | 787,456,819 | MDU6SXNzdWU3ODc0NTY4MTk= | 9,635 | Weights used for Masked LM predictions | {
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"The `cls/predictions/decoder` is the linear layer that is used to project the output of the transformer to the vocabulary logits. This layer is *tied* to the input embeddings: it has the same weights.\r\n\r\nI believe the original BERT codebase doesn't have this layer because it re-uses the input embedding layer, ... | 1,610 | 1,618 | 1,618 | NONE | null | I wanted to get masked word predictions for a few bert-base models. I am converting the pytorch models to the original bert tf format using [this](https://github.com/huggingface/transformers/blob/master/src/transformers/models/bert/convert_bert_pytorch_checkpoint_to_original_tf.py) by modifying the code to load BertFor... | {
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https://api.github.com/repos/huggingface/transformers/issues/9634 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9634/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9634/comments | https://api.github.com/repos/huggingface/transformers/issues/9634/events | https://github.com/huggingface/transformers/pull/9634 | 787,446,756 | MDExOlB1bGxSZXF1ZXN0NTU2MTYwODAy | 9,634 | Add separated decoder_head_mask for T5 Models | {
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"Great, that looks nice! Let's first merge https://github.com/huggingface/transformers/pull/9569 and then rebase this PR so that it passes all tests :-) ",
"Thanks for fixing this!\r\n\r\nI have one note/question: This seems to only apply to self-attention heads, not heads in the cross attention module, right? Is... | 1,610 | 1,611 | 1,611 | CONTRIBUTOR | null | ### Fix issue #9632
<hr>
This PR separates `head_mask` and `decoder_head_mask` for T5 models, and thus enables to specify different head masks for an encoder and decoder.
**Description:**
- Replace a single input argument `head_mask` with a separated couple `head_mask` and `decoder_head_mask` for the T5 mode... | {
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https://api.github.com/repos/huggingface/transformers/issues/9633 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9633/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9633/comments | https://api.github.com/repos/huggingface/transformers/issues/9633/events | https://github.com/huggingface/transformers/issues/9633 | 787,442,675 | MDU6SXNzdWU3ODc0NDI2NzU= | 9,633 | Wrong offsets_mapping in T5TokenizerFast | {
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"@patrickvonplaten @n1t0 do you have any advice on this? The T5 tokenizer tokenizes the sentence as follows:\r\n```\r\n['▁This', '▁is', '▁', 'a', '▁test', '▁sentence']\r\n```\r\n\r\nUnfortunately the offset mapping point to both '▁' and 'a' being at `(8, 9)`, as the following suggests:\r\n```\r\n'offset_mapping': ... | 1,610 | 1,638 | 1,621 | 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: 4.2.1
- Platform: Linux-4.9.0-14-amd64-x86_64-with-debian-9.13
- Python version: 3.6.10
- PyTorch version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/9632 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9632/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9632/comments | https://api.github.com/repos/huggingface/transformers/issues/9632/events | https://github.com/huggingface/transformers/issues/9632 | 787,430,124 | MDU6SXNzdWU3ODc0MzAxMjQ= | 9,632 | Missing argument: decoder_head_mask for T5 | {
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"Solved in #9634."
] | 1,610 | 1,611 | 1,611 | CONTRIBUTOR | null | # 🚀 Feature request
Despite the encoder-decoder architecture of T5, the models use a single `head_mask` argument instead of having separate `head_mask` and `decoder_head_mask` as it will be for BART-based models after merging the PR #9569.
## Your contribution
I'm going to send a PR soon. (I'll try to prepare... | {
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https://api.github.com/repos/huggingface/transformers/issues/9631 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9631/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9631/comments | https://api.github.com/repos/huggingface/transformers/issues/9631/events | https://github.com/huggingface/transformers/issues/9631 | 787,341,357 | MDU6SXNzdWU3ODczNDEzNTc= | 9,631 | ImportError: cannot import name 'Dataset' | {
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"How did you install Transformers and Datasets? Could you post your `pip list` here?",
"> How did you install Transformers and Datasets? Could you post your `pip list` here?\r\n\r\ntransformers (4.2.1)\r\ndatasets (1.2.1)\r\n\r\nSorry, for reply late.",
"Hmmm, I cannot seem to be able to reproduce your issue. W... | 1,610 | 1,656 | 1,611 | 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: 4.2.1, datasets : 1.2.1
- Platform: Linux AI-LAB 5.3.0-42-generic #34~18.04.1-Ubuntu SMP Fri Feb 28 13:42:26 U... | {
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