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https://api.github.com/repos/huggingface/transformers/issues/22594 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22594/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22594/comments | https://api.github.com/repos/huggingface/transformers/issues/22594/events | https://github.com/huggingface/transformers/issues/22594 | 1,656,001,656 | I_kwDOCUB6oc5itJR4 | 22,594 | Minimum set of requirements | {
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"Transformers also makes use of `extras` and the base requirements are limited to what's strictly necessary (see [here](https://github.com/huggingface/transformers/blob/176ceff91f5e5ff15922715e5a4a4d9f66b92d14/setup.py#L412)).",
"Thank you. I shouldn't have assumed that the presence of `requirements.txt` meant th... | 1,680 | 1,680 | 1,680 | NONE | null | ### Feature request
Separate base requirements from development dependencies, as the existing `requirements.txt` file conflates them.
For example, `accelerate` already does this via setuptools' "extras" [[link](https://github.com/huggingface/accelerate/blob/3cb9d5fd9c78c1da9fbc3127d6e63679a2475c6a/setup.py)]
### M... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | MEMBER | null | Stop using `from_pt` now that the checkpoints have native TF weights | {
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"Hi @xenova @alaradirik I would like to work on adding this model.",
"@xenova I just checked the model website and I don't have the hardware resources to perform the model inference. ",
"> @xenova I just checked the model website and I don't have the hardware resources to perform the model inference.\r\n\r\nHa... | 1,680 | 1,681 | 1,681 | CONTRIBUTOR | null | ### Model description
Meta Research recently open-sourced their "SegmentAnything Model" (SAM) for image segmentation. It would be great to have it working with this library's `ImageSegmentationPipeline`.
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Pro... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot for your PR! Could you apply `make fix-copies` so that the models copied from BART or GPT-2 are auto-updated?",
"> Thanks a lot for your PR! Could you apply `make fix-copies` so that the models copied from BART or GPT-... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
As suggested in the #22561 moving the labels to the same device as the logits they are compared to for `bart` and `gpt-2` models
This action has been referred to from #22535
```
lm_logits = self.lm_head(outputs[0])
lm_logits = lm_logits + self.final_logits_bias.to(lm_logits.device)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22590 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22590/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22590/comments | https://api.github.com/repos/huggingface/transformers/issues/22590/events | https://github.com/huggingface/transformers/issues/22590 | 1,655,753,527 | I_kwDOCUB6oc5isMs3 | 22,590 | Support whisper-timestamped | {
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"We've been thinking about how to add word-level timestamps to Whisper. I still have to look at whisper-timestamped to see exactly what they're doing, but for now I'll reference https://github.com/huggingface/transformers/issues/21412 as the main issue for tracking this.",
"This issue has been automatically marke... | 1,680 | 1,687 | 1,687 | NONE | null | ### Feature request
It would be great if [whisper-timestamped](https://github.com/linto-ai/whisper-timestamped) could be added into Transformers.
### Motivation
whisper-timestamped is an extension of [openai-whisper](https://pypi.org/project/whisper-openai/) python package and is meant to be compatible with any vers... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"There is a problem with the storage stream, so I will PR it again.. 😢 "
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Translated the `tasks/sequence_classification.mdx` file of the documentation to Korean.
- The file name is `sequence_classification.mdx`, but the document name is `text classification`.
Thank you in advance for your review:)
Part of https://github.com/huggingface/transformers/issues/20... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22588). All of your documentation changes will be reflected on that endpoint."
] | 1,680 | 1,680 | 1,680 | MEMBER | null | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22587). All of your documentation changes will be reflected on that endpoint."
] | 1,680 | 1,680 | 1,680 | COLLABORATOR | null | # What does this PR do?
As a result of #22539, the options we have for the doctests are now all ignored. This PR reverts the change for those and puts them back in `setup.cfg`. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I may have tagged you slightly too early, please be slower to get to your notifications",
"I will do my best to take 72 hours to get to your PR next time you ask for a review ;-)",
":handshake: "
] | 1,680 | 1,680 | 1,680 | MEMBER | null | This PR fixes the hidden states output from `TFOpenAIGPTDoubleHeadsModel` to have the same shapes as the PT version, and re-enables the relevant test. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | MEMBER | null | # What does this PR do?
Adds the `accelerate_tests` mark to `conftest.py`, so we don't get related warnings at test time.
Here's a print screen before the fix:
<img width="1512" alt="Screenshot 2023-04-05 at 11 27 32" src="https://user-images.githubusercontent.com/12240844/230054803-cc95b93d-aab4-4133-baa8-7115... | {
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"@stas00 I do not have quick access to a multi-GPU setup. Would you be so kind as to double-check whether this fix solves the issue? 🙏 ",
"_The documentation is not available anymore as the PR was closed or merged._",
"I confirm that it fixes the first crash with 2+ gpus, the 2nd crash in eval remains.\r\n\r\n... | 1,680 | 1,680 | 1,680 | MEMBER | null | # What does this PR do?
Addresses one of the issues in #22571
As the title indicates, changes the source of the generation config from `model` (wrapped model) to `self.model` (unwrapped model). | {
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https://api.github.com/repos/huggingface/transformers/issues/22583 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22583/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22583/comments | https://api.github.com/repos/huggingface/transformers/issues/22583/events | https://github.com/huggingface/transformers/pull/22583 | 1,655,236,729 | PR_kwDOCUB6oc5NqAy3 | 22,583 | Add thousands separator in training summary | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
The logger prints a summary at the beginning of training that displays some info such as number of examples, number of parameters, total number of steps, etc. Those numbers can be quite large and difficult to read. I added a thousand separator to improve readability for the following:
- num_... | {
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https://api.github.com/repos/huggingface/transformers/issues/22582 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22582/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22582/comments | https://api.github.com/repos/huggingface/transformers/issues/22582/events | https://github.com/huggingface/transformers/pull/22582 | 1,655,208,178 | PR_kwDOCUB6oc5Np6hR | 22,582 | Adding support for BPE merge creation from scores instead of ids. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/22581 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22581/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22581/comments | https://api.github.com/repos/huggingface/transformers/issues/22581/events | https://github.com/huggingface/transformers/pull/22581 | 1,655,145,882 | PR_kwDOCUB6oc5NptKu | 22,581 | docs: ko: complete `_toctree.yml` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Here's the preview screenshot:\n\n<img src=\"https://user-images.githubusercontent.com/29195190/230030526-fcdde977-3c46-4606-8700-daecba4bd99c.jpg\" width=\"200px\">\n\n\nYellow highlighted items are complete. Hence, they do not have... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
From our first week in localizing the documentation, we came across issues and git conflicts with `_toctree.yml`.
This PR updates the `_toctree.yml` file for translations, making it easier for translators to locate the correct files to translate without worrying about the yaml formatting. Ea... | {
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https://api.github.com/repos/huggingface/transformers/issues/22580 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22580/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22580/comments | https://api.github.com/repos/huggingface/transformers/issues/22580/events | https://github.com/huggingface/transformers/issues/22580 | 1,655,101,639 | I_kwDOCUB6oc5iptjH | 22,580 | resume train | {
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"Resuming training with a different setup than the one that begun it is at your own peril and is definitely not recommended or officially supported.",
"Ok, thank you for your reply. I will attempt to manually skip these already trained data."
] | 1,680 | 1,680 | 1,680 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: Linux-4.15.0-175-generic-x86_64-with-glibc2.31
- Python version: 3.10.10
- Huggingface_hub version: 0.13.3
- Safetensors version: not installed
- PyTorch version (GPU?): 1.12.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version... | {
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https://api.github.com/repos/huggingface/transformers/issues/22579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22579/comments | https://api.github.com/repos/huggingface/transformers/issues/22579/events | https://github.com/huggingface/transformers/issues/22579 | 1,655,067,428 | I_kwDOCUB6oc5iplMk | 22,579 | Hosted Files Compression | {
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"Answered in https://github.com/huggingface/huggingface_hub/issues/1446#issuecomment-1521893687 on why this will unfortunately not be supported anytime soon :confused: Since we have a generic issue in `huggingface_hub`, I think we can close this one."
] | 1,680 | 1,682 | 1,682 | NONE | null | ### Feature request
I am very new to hugging face, so I am not sure this is the right place to request, if not please guide me.
I was thinking, the hosted files (i.e. models) could use compression like brotli. Considering its all static files this could be done once instead on per request.
For example, [decod... | {
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https://api.github.com/repos/huggingface/transformers/issues/22578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22578/comments | https://api.github.com/repos/huggingface/transformers/issues/22578/events | https://github.com/huggingface/transformers/pull/22578 | 1,654,871,778 | PR_kwDOCUB6oc5NozDH | 22,578 | 🌐 [i18n-KO] Translated `tutorial/proprecssing.mdx` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sim-so keep it up 👍 :-)\r\n",
"Some updates!\r\n- Newly translated two parts of this documentation: `Build Tensors` and `Audio`\r\n- Revised the sentence with the feedback as below:\r\n`토크나이저가 두 개의 특수한 토큰(분류 토큰 CLS와 구분 토큰 SEP)을 문... | 1,680 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/22577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22577/comments | https://api.github.com/repos/huggingface/transformers/issues/22577/events | https://github.com/huggingface/transformers/issues/22577 | 1,654,848,556 | I_kwDOCUB6oc5iovws | 22,577 | BeitFeatureExtractor no longer works with grayscale images "unsupported number of image dimensions" | {
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"cc @amyeroberts ",
"Hi @grantdelozier, thanks for reporting this. \r\n\r\nUnfortunately for some of the image transformations, grayscale images aren't currently compatible. Handling the different input formats in a more robust way is something I'm currently working on. Having these issues reported is really usef... | 1,680 | 1,693 | 1,693 | NONE | null | ### System Info
```
Python 3.7.13 (default, Mar 29 2022, 02:18:16)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import transformers
>>> transformers.__version__
'4.27.4'
```
### Who can help?
_No response_
### Information
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https://api.github.com/repos/huggingface/transformers/issues/22576 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22576/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22576/comments | https://api.github.com/repos/huggingface/transformers/issues/22576/events | https://github.com/huggingface/transformers/pull/22576 | 1,654,558,700 | PR_kwDOCUB6oc5NnwMP | 22,576 | Generate: `TextIteratorStreamer` timeout | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | MEMBER | null | # What does this PR do?
Learning the hard way: exception in a thread that feeds an iterator = iterator hangs forever.
This PR adds a timeout to the queue so that we can protect ourselves from hanging streaming generation. | {
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"@lvwerra @harm-devries\r\n(Replaces #21253)",
"Code on the Hub is fine too and we are adding better support for it every day :-)",
"Hi @sgugger, the next generation of the model will also support this architecture so there should also be significantly more usage. Discussed this also with @LysandreJik previousl... | 1,680 | 1,689 | 1,681 | CONTRIBUTOR | null | The GPTBigcode model from BigCode. It is the same model as GPT2, with:
* Added support for Multi-Query Attention (https://arxiv.org/abs/1911.02150)
* A large number of optimizations, mostly targeting inference but also useful in training.
Other than MQA, it's the same model as GPT2, just a new implementation (thou... | {
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"Thanks for your PR, but we are not interested in this modification of this example.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22574). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale bec... | 1,680 | 1,685 | 1,685 | CONTRIBUTOR | null | aml vision benchmark | {
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"Hi @agemagician ,\r\n\r\nthanks for pinging! Could you confirm that the new umT5 checkpoints have this new scalable format:\r\n\r\nhttps://console.cloud.google.com/storage/browser/t5-data/pretrained_models/t5x/umt5_small/checkpoint_1000000?pageState=(%22StorageObjectListTable%22:(%22f%22:%22%255B%255D%22))&prefix=... | 1,680 | 1,688 | 1,683 | CONTRIBUTOR | null | ### Feature request
Google T5X library has a new model architecture called "scalable_t5" based on T5, the main difference is that it supports giant model training.
It supports Jax Scan and Rematerialization / Checkpointing, allowing it to load and train giant models on TPU or GPU.
Links:
https://github.com/go... | {
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https://api.github.com/repos/huggingface/transformers/issues/22572 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22572/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22572/comments | https://api.github.com/repos/huggingface/transformers/issues/22572/events | https://github.com/huggingface/transformers/issues/22572 | 1,654,248,719 | I_kwDOCUB6oc5imdUP | 22,572 | Informer not working on basic example | {
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"cc @kashif ",
"thanks @sgugger having a look!",
"@SlimakSlimak just to test: the model works if you comment out the `static_real_features` argument to the `model`?\r\n",
"Hi, yes that works, thank you!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think... | 1,680 | 1,683 | 1,683 | NONE | null | ### System Info
I am trying minimal example code of Informer specified on HuggingFace website: https://huggingface.co/docs/transformers/model_doc/informer
however I am getting this error while running that:
```
File "C:\Users\User\anaconda3\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22571 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22571/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22571/comments | https://api.github.com/repos/huggingface/transformers/issues/22571/events | https://github.com/huggingface/transformers/issues/22571 | 1,654,209,185 | I_kwDOCUB6oc5imTqh | 22,571 | seq2seq examples can't handle DataParallel | {
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"No, it is a wrapping problem.\r\n@gante The Seq2SeqTrainer might need to do something to use the unwrapped model (which is the `self.model` attribute) instead of the model. I think just changing line 280 to use `self.model.config` instead of `model.config` will be enough.",
"and a new test please! Thank you!",
... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | ### System Info
main
### Who can help?
@sgugger
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22570/comments | https://api.github.com/repos/huggingface/transformers/issues/22570/events | https://github.com/huggingface/transformers/issues/22570 | 1,654,195,076 | I_kwDOCUB6oc5imQOE | 22,570 | Add MobileViT v2 | {
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"Hi @SunHaozhe , I would like to work on implementing this model."
] | 1,680 | 1,681 | null | CONTRIBUTOR | null | ### Model description
[MobileViT](https://openreview.net/forum?id=vh-0sUt8HlG) is a computer vision model that combines CNNs with transformers that has already been added to Transformers.
[MobileViT v2](https://arxiv.org/abs/2206.02680) is the second version; it is constructed by replacing multi-headed self-attent... | {
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https://api.github.com/repos/huggingface/transformers/issues/22569 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22569/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22569/comments | https://api.github.com/repos/huggingface/transformers/issues/22569/events | https://github.com/huggingface/transformers/issues/22569 | 1,654,189,111 | I_kwDOCUB6oc5imOw3 | 22,569 | AttributeError: 'GPTJModel' object has no attribute 'first_device' | {
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"This comes from your hack of setting the attributes of the model in cell 6. This then makes the model want to try to use the old model parallel API which crashes since you didn't really use it ;-)",
"Ah, I see. Sorry, it was bit confusing. As mentioned, model `fb/opt` worked. Also `abeja/gpt-neox-japanese-2.7b` ... | 1,680 | 1,683 | 1,683 | NONE | null | ### System Info
```
transformers.__version__ # 4.28.0.dev0
torch.__version__ # 2.0.0+cu117
python # Python 3.7.12
```
### Who can help?
@sgugger @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folde... | {
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https://api.github.com/repos/huggingface/transformers/issues/22568 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22568/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22568/comments | https://api.github.com/repos/huggingface/transformers/issues/22568/events | https://github.com/huggingface/transformers/issues/22568 | 1,654,182,898 | I_kwDOCUB6oc5imNPy | 22,568 | junk results for int8 for Flan-xl/xxl | {
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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/main/CONTRIBUTING.md) a... | 1,680 | 1,687 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.27.4
- Platform: Linux-5.10.147+-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 2.0.0+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6.8 (gpu)
- Jax version: 0.4.... | {
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https://api.github.com/repos/huggingface/transformers/issues/22567 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22567/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22567/comments | https://api.github.com/repos/huggingface/transformers/issues/22567/events | https://github.com/huggingface/transformers/issues/22567 | 1,654,115,824 | I_kwDOCUB6oc5il83w | 22,567 | Unable to import VGG16 model transformers | {
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"That code sample is plain wrong, there is no VGG16 in Transformers.",
"@sgugger Hi, can you please suggest me how to use my vgg16 model using transformers?Also i am new to transformers model i am sorry if i made any mistake in uploading my model.Could please redirect me to some helpful resources for vgg16 with t... | 1,680 | 1,680 | null | NONE | null | ### Model description
i have recently upload my trained vgg16 model to hugging face.After uploading i have a prompt of instructions to use my model.
Although i have followed the prompt i got errors.
[https://huggingface.co/Nvsai/DeviceClassification](url)
>>> from transformers import VGG16
Traceback (most recent c... | {
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https://api.github.com/repos/huggingface/transformers/issues/22566 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22566/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22566/comments | https://api.github.com/repos/huggingface/transformers/issues/22566/events | https://github.com/huggingface/transformers/issues/22566 | 1,654,108,574 | I_kwDOCUB6oc5il7Ge | 22,566 | Support Streaming to Other Locations Besides STDOUT | {
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"cc @gante ",
"@sam-h-bean an iterator class was merged yesterday, but I haven't communicated about it :)\r\n\r\nYou can check its implementation [here](https://github.com/huggingface/transformers/blob/fc5b7419d4c8121d8f1fa915504bcc353422559e/src/transformers/generation/streamers.py#L125). This would be what you ... | 1,680 | 1,684 | 1,684 | CONTRIBUTOR | null | ### Feature request
I would like to build a token streaming model that sends the tokens to a web socket or SSE connection. Today I would need to put a redirect from stdout to the other location which is a pain. Instead I would like to receive a raw python generator from the TextStreamer object that I can iterate over ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22565 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22565/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22565/comments | https://api.github.com/repos/huggingface/transformers/issues/22565/events | https://github.com/huggingface/transformers/issues/22565 | 1,654,074,074 | I_kwDOCUB6oc5ilyra | 22,565 | VisionEncoderDecoderModel ONNX Conversion - TrOCR | {
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"cc @Rocketknight1 maybe?",
"@sgugger pinging since there's no response",
"It looks like this bug is arising in ONNX export of a PyTorch model, which I don't know too much about!",
"I'm quite confused on this one. Any other workarounds on this? I did read some ways like JIT or using the export function of To... | 1,680 | 1,693 | 1,686 | NONE | null | I want to convert my TrOCR model into TFLite version. To do that, based on my understanding, I need to convert it first to ONNX, then to TF, and lastly to TFLite. I stumbled upon [#19604](https://github.com/huggingface/transformers/pull/19254). However, it's a bit different. In my case, I used the `trainer.save` functi... | {
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https://api.github.com/repos/huggingface/transformers/issues/22564 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22564/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22564/comments | https://api.github.com/repos/huggingface/transformers/issues/22564/events | https://github.com/huggingface/transformers/pull/22564 | 1,654,047,179 | PR_kwDOCUB6oc5NmBZY | 22,564 | a possible bug in function find_mismatched_keys | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22564). All of your documentation changes will be reflected on that endpoint.",
"cc @younesbelkada \r\nThis is not the right fix as `loaded_keys` should only contain keys that are in the `state_dict` and we are looping othe... | 1,680 | 1,683 | 1,683 | NONE | 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/22563 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22563/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22563/comments | https://api.github.com/repos/huggingface/transformers/issues/22563/events | https://github.com/huggingface/transformers/issues/22563 | 1,654,044,354 | I_kwDOCUB6oc5ilrbC | 22,563 | KeyError when setting ignore_mismatched_sizes=True in Blip2ForConditionalGeneration | {
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"I fixed this possible issue in #22564, and I would like to know whether there are any other reasons.",
"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 fol... | 1,680 | 1,683 | 1,683 | NONE | null | ### System Info
### Issue
When setting ```ignore_mismatched_sizes=True``` in ```Blip2ForConditionalGeneration```, a KeyError is raised.
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `exam... | {
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https://api.github.com/repos/huggingface/transformers/issues/22562 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22562/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22562/comments | https://api.github.com/repos/huggingface/transformers/issues/22562/events | https://github.com/huggingface/transformers/issues/22562 | 1,654,001,518 | I_kwDOCUB6oc5ilg9u | 22,562 | A potential bug in get_class_in_module by using subprocess to copy files among temp dir. | {
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"This has been fixed by #22537 ",
"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/trans... | 1,680 | 1,683 | 1,683 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: macOS-10.15.7-x86_64-i386-64bit
- Python version: 3.8.16
- Huggingface_hub version: 0.13.3
- Safetensors version: not installed
- PyTorch version (GPU?): 1.13.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/T... | {
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https://api.github.com/repos/huggingface/transformers/issues/22561 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22561/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22561/comments | https://api.github.com/repos/huggingface/transformers/issues/22561/events | https://github.com/huggingface/transformers/issues/22561 | 1,653,950,092 | I_kwDOCUB6oc5ilUaM | 22,561 | Make all Transformer models compatible with model parallelism | {
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"I think I can help with this Issue :) ",
"I would like to work on this issue - BART model :)",
"Hi, I can take this up 🙌🏻\r\n",
"Indeed, this fix is required for BLOOM. https://github.com/huggingface/transformers/compare/main...zsc:transformers:main (my fix is hacky and not PR-ready. Just FYI)",
"Just to... | 1,680 | 1,682 | 1,682 | COLLABORATOR | null | Accelerate makes it easy to load a model on multiple GPUs with `device_map="auto"`. This in turn allows users to train model with naive model parallelism if they have several GPUs.
A problem that happens in Transformers, with model with heads (so not XxxModel but for instance XxxModelForSequenceClassification) is th... | {
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https://api.github.com/repos/huggingface/transformers/issues/22560 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22560/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22560/comments | https://api.github.com/repos/huggingface/transformers/issues/22560/events | https://github.com/huggingface/transformers/pull/22560 | 1,653,931,978 | PR_kwDOCUB6oc5Nlofw | 22,560 | [WIP]🌐 [i18n-KO] Translated `tasks/translation.mdx` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Due to WSL compatibility issues causing unreachable commits, I have opened another PR on a different branch.",
"Closing in favor of https://github.com/huggingface/transformers/pull/22678"
] | 1,680 | 1,681 | 1,681 | CONTRIBUTOR | null | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `<your_file>.mdx` to Korean" 으로 부탁드립니당 -->
# What does this PR do?
Partially translated the `tasks/translation.mdx` file of the documentation to Korean. I will finish off the rest by Thursday if possible. PseudoLab team members will review the quality of the translation by then... | {
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https://api.github.com/repos/huggingface/transformers/issues/22559 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22559/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22559/comments | https://api.github.com/repos/huggingface/transformers/issues/22559/events | https://github.com/huggingface/transformers/pull/22559 | 1,653,749,415 | PR_kwDOCUB6oc5NlBAl | 22,559 | fixing a bug about gradient accumulation in codeparrot_training | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22559). All of your documentation changes will be reflected on that endpoint.",
"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... | 1,680 | 1,683 | 1,683 | NONE | null | # What does this PR do?
The gradient accumulation was not pausing. In order to fix this issue, I modified the training loop in order to incorporate a better use of `Accelerator` to handle gradient accumulation.
I also modified the declaration of accelerator in order to incorporate the argument `gradient_accumul... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/22557 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22557/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22557/comments | https://api.github.com/repos/huggingface/transformers/issues/22557/events | https://github.com/huggingface/transformers/pull/22557 | 1,653,670,726 | PR_kwDOCUB6oc5Nkv-h | 22,557 | corrected the code comment for the output of find_pruneable_heads_and_indices | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
This PR improves the doc (code comment), because the code comment of find_pruneable_heads_and_indices was not correct.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guidelin... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Fixes a small typo, in fact the correct argument name is `llm_int8_enable_fp32_cpu_offload`
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https://api.github.com/repos/huggingface/transformers/issues/22555 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22555/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22555/comments | https://api.github.com/repos/huggingface/transformers/issues/22555/events | https://github.com/huggingface/transformers/issues/22555 | 1,653,553,617 | I_kwDOCUB6oc5ijznR | 22,555 | get_class_from_dynamic_module may throw exception in multiple process | {
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"I will try to fix this bug and push a commit soon.",
"Awesome thanks for reporting this! ",
"This will be fixed by #22537",
"> This will be fixed by #22537\r\n\r\nOK~",
"\r\nI met the same `AttributeError` issue. But the problem still exist after I update the master branch code with this fix https://github... | 1,680 | 1,684 | 1,684 | NONE | null | ### System Info
- `transformers` version: 4.22.1
- Platform: macOS-10.15.7-x86_64-i386-64bit
- Python version: 3.8.16
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 1.13.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: no... | {
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https://api.github.com/repos/huggingface/transformers/issues/22554 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22554/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22554/comments | https://api.github.com/repos/huggingface/transformers/issues/22554/events | https://github.com/huggingface/transformers/pull/22554 | 1,653,546,635 | PR_kwDOCUB6oc5NkU_k | 22,554 | Add `torch_dtype` attribute | {
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"The `torch_dtype` in the config can't be used for that? ",
"I don't think so because sometimes (and very often) you load `fp32` models from the Hub, and not all models on the Hub have the `torch_dtype` attribute",
"Also there is this : \r\n```python \r\n @property\r\n def dtype(self) -> torch.dtype:\r\n ... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Disclaimer: Maybe there is a more canonical way to retrieve the `torch_dtype` of a loaded model !
I propose to add the attribute `torch_dtype` inside `PreTrainedModel` so that it can be conveniently retrieved. Useful for example for `peft` where I see this solution as one of the possible s... | {
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"You should use the [forums](https://discuss.huggingface.co/) to help debug your training code.",
"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 th... | 1,680 | 1,684 | 1,683 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.31
- Python version: 3.9.7
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 1.10.1+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22552 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22552/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22552/comments | https://api.github.com/repos/huggingface/transformers/issues/22552/events | https://github.com/huggingface/transformers/pull/22552 | 1,653,376,468 | PR_kwDOCUB6oc5NjwkT | 22,552 | fix bug because of implicit attention_mask argument in generation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @Soonhwan-Kwon 👋 \r\n\r\nI am unable to reproduce the issue you describe (see script below). Can you share a reproducer for the exception you're seeing?\r\n\r\n```py\r\nfrom transformers import AutoModelForCausalLM, AutoTokenize... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Fixes # (issue)
gpt2 prepares generation input with attention mask not in explicit way like beolw, and it conflicts with self._validate_model_kwargs which checks unused arguments and gets error.
```
/usr/local/lib/python3.9/site-packages/torch/utils/_contextlib.py in decorate_context(... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22551). All of your documentation changes will be reflected on that endpoint.",
"Thanks for your PR, but we are not going to rename core utils like this.",
"> Thanks for your PR, but we are not going to rename core utils ... | 1,680 | 1,688 | 1,684 | NONE | null | Rename GPU utils to CUDA
Add XPU backend
Doc on XPU backend
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https://api.github.com/repos/huggingface/transformers/issues/22550 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22550/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22550/comments | https://api.github.com/repos/huggingface/transformers/issues/22550/events | https://github.com/huggingface/transformers/issues/22550 | 1,653,242,036 | I_kwDOCUB6oc5iini0 | 22,550 | OverflowError with device="mps" using dedicated GPU | {
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"This looks similar to #22529 and this is not a bug in Transformers but in PyTorch, so you will have to wait for them to release a fix.",
"Thanks for the quick answer!\r\n\r\nNot holding my breath for a fix though. It's one out of 10K+ open issues in pytorch...",
"> Thanks for the quick answer!\r\n> \r\n> Not h... | 1,680 | 1,685 | 1,685 | NONE | null | ### System Info
- 2019 Mac Pro
- AMD Radeon Pro W5700X 16 GB
- macOS Ventura 13.3
`transformers-cli env`:
- `transformers` version: 4.27.4
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.9.16
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 2.1.0.dev20230403 (False)
- Tensorflow ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/22549 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22549/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22549/comments | https://api.github.com/repos/huggingface/transformers/issues/22549/events | https://github.com/huggingface/transformers/pull/22549 | 1,653,129,955 | PR_kwDOCUB6oc5Ni77u | 22,549 | [i18n-KO] fix: docs: ko: sagemaker anchors and `_toctree.yml` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<img src=\"https://user-images.githubusercontent.com/29195190/229707009-e1fca054-e464-4b98-af53-809e4c0778db.jpg\" width=\"200px\">\r\n\r\nWe are getting a 500 error (probably due to spacing issues in `_toctree.yml`). Please do not m... | 1,680 | 1,681 | 1,681 | CONTRIBUTOR | null | Co-authored-by: Wonhyeong Seo
<wonhseo@kakao.com>
# What does this PR do?
I fixed the anchors and `_toctree.yml`
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https://api.github.com/repos/huggingface/transformers/issues/22548 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22548/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22548/comments | https://api.github.com/repos/huggingface/transformers/issues/22548/events | https://github.com/huggingface/transformers/issues/22548 | 1,653,110,466 | I_kwDOCUB6oc5iiHbC | 22,548 | [HOW TO FINETUNE CLIP OPENAI LAION2B MODELS FOR IMAGE CLASSIFICATION] | {
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"There is no need to yell at us in all caps. No one can do anything without seeing the code you run."
] | 1,680 | 1,680 | null | NONE | null | I try to finetune CLIP model by using pretrained: https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K
But I met a bug:
Help me! Thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/22547 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22547/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22547/comments | https://api.github.com/repos/huggingface/transformers/issues/22547/events | https://github.com/huggingface/transformers/issues/22547 | 1,653,083,495 | I_kwDOCUB6oc5iiA1n | 22,547 | Compared OneFormer by transformers with original GitHub code, It's worked bad . Why ? | {
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"cc @alaradirik and @amyeroberts ",
"Hi @onefish51, thanks for reporting this issue! It's definitely not the desired behaviour, and I'm digging into it now. \r\n\r\nAs a first pass, it seems this is related to specific checkpoints and inputs. For example, for the checkpoint you provided, `shi-labs/oneformer_coco_... | 1,680 | 1,691 | 1,686 | NONE | null | ### System Info
transformers == 4.26.0
Python == 3.8.8
### Who can help?
@praeclarumjj3 @NielsRogge
### Reproduction
Thanks for your great Work !
I compared OneFormer in transformers with original [ original GitHub code](https://github.com/SHI-Labs/OneFormer), It sometimes worked bad .
OneForme... | {
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"This repo is not in sync with the model and tokenizer as implemented in the Transformers library. Sadly, we do not have permission to distribute the weights, so there is no official checkpoint you can use. After you get the official weights from Meta and run the conversion command as documented, you shouldn't have... | 1,680 | 1,706 | 1,683 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: Linux-3.10.0-1160.81.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.11.2
- Huggingface_hub version: 0.13.3
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0+cu118 (True)
- Tensorflow version (GPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22545 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22545/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22545/comments | https://api.github.com/repos/huggingface/transformers/issues/22545/events | https://github.com/huggingface/transformers/issues/22545 | 1,652,655,004 | I_kwDOCUB6oc5igYOc | 22,545 | Model.eval() always returns the same logits for SequenceClassfication models with binary labels | {
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"That's because your model training diverged. It has nothing to do with the Transformers library and is probably due to your very high learning rate. You should go on the [forums](https://discuss.huggingface.co/) if you need help debugging your trainings.",
"Yes thanks this was the reason"
] | 1,680 | 1,680 | 1,680 | NONE | null | ### System Info
On GoogleColab
- `transformers` version: 4.27.4
- Platform: Linux-5.10.147+-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 2.0.0+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6.8 (gpu)
- Jax... | {
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https://api.github.com/repos/huggingface/transformers/issues/22544 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22544/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22544/comments | https://api.github.com/repos/huggingface/transformers/issues/22544/events | https://github.com/huggingface/transformers/pull/22544 | 1,652,594,033 | PR_kwDOCUB6oc5NhI65 | 22,544 | Generate: Add text streamer decoding options | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | MEMBER | null | # What does this PR do?
In advance of communicating the iterator streamer with Gradio demos, adds two important options:
1. option to skip the prompt in the streamer (e.g. for chatbots)
2. option to receive `decode()` kwargs (e.g. to skip special tokens)
It also makes use of the changes in #22516 to make the it... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
This PR should fix the failing test on `main`.
The fix is to replace the previous image with the one I have uploaded on the Hub: https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/australia.jpg
cc @sgugger | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | COLLABORATOR | null | # What does this PR do?
Adds a set of tests specifically for the Backbone class
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIB... | {
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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/main/CONTRIBUTING.md) a... | 1,680 | 1,683 | 1,683 | MEMBER | null | There is a bug in the gradient accumulation that causes the [training script](https://github.com/huggingface/transformers/blob/main/examples/research_projects/codeparrot/scripts/codeparrot_training.py) to run slower than necessary. Currently we have the following:
```python
for step, batch in enumerate(train_datalo... | {
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https://api.github.com/repos/huggingface/transformers/issues/22540 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22540/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22540/comments | https://api.github.com/repos/huggingface/transformers/issues/22540/events | https://github.com/huggingface/transformers/pull/22540 | 1,652,353,984 | PR_kwDOCUB6oc5NgVHZ | 22,540 | Fix inverted conditional in TF common test! | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"As expected this has raised a few bugs in the cross-test that were silent before - I'll see what I can do in this PR",
"Most likely - I'll investigate them all soon!",
"Quick summary of the fixes needed:\r\n\r\nESM: `TFEsmForToke... | 1,680 | 1,680 | 1,680 | MEMBER | null | Noticed a rather alarming conditional being backwards in the `test_pt_tf_model_equivalence` common test. This probably resulted in a lot of tests being skipped! | {
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https://api.github.com/repos/huggingface/transformers/issues/22539 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22539/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22539/comments | https://api.github.com/repos/huggingface/transformers/issues/22539/events | https://github.com/huggingface/transformers/pull/22539 | 1,652,336,185 | PR_kwDOCUB6oc5NgRTN | 22,539 | [setup] migrate setup script to `pyproject.toml` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/22538 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22538/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22538/comments | https://api.github.com/repos/huggingface/transformers/issues/22538/events | https://github.com/huggingface/transformers/issues/22538 | 1,652,335,807 | I_kwDOCUB6oc5ifKS_ | 22,538 | Cross Attention of MarianMT translation model, inconsistent with paper! | {
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"Hey @42694647426 👋 \r\n\r\nAs per our [issues guidelines](https://github.com/huggingface/transformers/blob/main/ISSUES.md), we reserve GitHub issues for bugs in the repository and/or feature requests. For any other matters, we'd like to invite you to use our [forum](https://discuss.huggingface.co/) 🤗 \r\n\r\nIn ... | 1,680 | 1,683 | 1,683 | NONE | null | ### System Info
When I'm inspecting the cross-attention layers from the pretrained transformer translation model (MarianMT model), It is very strange that the cross attention from layer 0 and 1 provide best alignment between input and output. I used bertviz to visualize all heads from all 6 layers, and tried different... | {
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https://api.github.com/repos/huggingface/transformers/issues/22537 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22537/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22537/comments | https://api.github.com/repos/huggingface/transformers/issues/22537/events | https://github.com/huggingface/transformers/pull/22537 | 1,652,330,077 | PR_kwDOCUB6oc5NgP_c | 22,537 | Remove hack for dynamic modules and use Python functions instead | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I confirm that this fixes a race condition discovered today with:\r\n\r\n```\r\nfrom transformers import GPT2Config, GPT2LMHeadModel, AutoModelForCausalLM, AutoConfig\r\nmodel_name = \"bigcode/santacoder\"\r\nconfig = AutoConfig.from... | 1,680 | 1,680 | 1,680 | COLLABORATOR | null | # What does this PR do?
#21646 introduced a new way of dealing with dynamic modules locally to avoid a flaky failure in the CI, using a bit of hack with subprocess python commands. This seems to cause problem with distributed runs using this code (#22506 and was also reported internally as failing with big code expe... | {
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https://api.github.com/repos/huggingface/transformers/issues/22536 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22536/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22536/comments | https://api.github.com/repos/huggingface/transformers/issues/22536/events | https://github.com/huggingface/transformers/pull/22536 | 1,652,290,927 | PR_kwDOCUB6oc5NgHiZ | 22,536 | Fix missing metrics with multiple eval datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"It seems like the tests failed on an irrelevant \"File not found error\" in tokenizers, but I can not rerun the tests. \r\n@sgugger would you kindly trigger them again?",
":call_me_hand: "
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | Fixes #22530
[Issue](https://github.com/huggingface/transformers/issues/22530)
**tl;dr** - `Trainer` only keeps the last metric when using multiple eval datasets. This PR fixes that by merging metrics from all eval datasets into one dict.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you c... | {
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https://api.github.com/repos/huggingface/transformers/issues/22535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22535/comments | https://api.github.com/repos/huggingface/transformers/issues/22535/events | https://github.com/huggingface/transformers/pull/22535 | 1,652,277,930 | PR_kwDOCUB6oc5NgEva | 22,535 | [`T5`] Enable naive Pipeline Parallelism training for T5 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Similarly as https://github.com/huggingface/transformers/pull/22329 this PR enables training `T5` models in a "Naive Pipeline Parallelism" setup. What is termed as "Naive Pipeline Parallelism" is simply to spread the model across multiple GPUs and run naively the forward/backward pass by comm... | {
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https://api.github.com/repos/huggingface/transformers/issues/22534 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22534/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22534/comments | https://api.github.com/repos/huggingface/transformers/issues/22534/events | https://github.com/huggingface/transformers/pull/22534 | 1,652,274,506 | PR_kwDOCUB6oc5NgD_2 | 22,534 | 🌐 [i18n-KO] Translated `custom_models.mdx` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think we should discuss whether to translate `configuration` to 구성.\r\nSince the configuration is the name of the class, I think it will be misunderstood when translated into Korean to understand that it is a class.\r\n\r\n`configu... | 1,680 | 1,682 | 1,681 | CONTRIBUTOR | null | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `<your_file>.mdx` to Korean" 으로 부탁드립니당 -->
# What does this PR do?
Translated the `custom_models.mdx` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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https://api.github.com/repos/huggingface/transformers/issues/22533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22533/comments | https://api.github.com/repos/huggingface/transformers/issues/22533/events | https://github.com/huggingface/transformers/pull/22533 | 1,652,198,463 | PR_kwDOCUB6oc5NfzgG | 22,533 | 🌐[i18n-KO] Translate `autoclass_tutorial` to Korean and Fix the typo of `quicktour` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"- need to add the english link of `Load pretrained instances with an AutoClass`\r\n- keep the `AutoClass` as a english",
"squashed commit messages and check a final document result.\r\n",
"@0525hhgus, @KIHOON71, @sim-so, @gabriel... | 1,680 | 1,681 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Translated the `autoclass_tutorial.mdx` file of the documentation to Korean and fix the typo of `quicktour`
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before submitting
- [x] This PR fixes a typo or improves the docs (you... | {
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https://api.github.com/repos/huggingface/transformers/issues/22532 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22532/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22532/comments | https://api.github.com/repos/huggingface/transformers/issues/22532/events | https://github.com/huggingface/transformers/pull/22532 | 1,652,149,748 | PR_kwDOCUB6oc5Nfo_Q | 22,532 | [`Trainer`] Force `is_model_parallel` when model is loaded in multiple GPUs using `accelerate` | {
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"Could you elaborate why is such a patch needed and what is the goal of your PR? Cause all of this seems very hacky.",
"These hacks were needed because `self.place_model_on_device` [needs to be set to `True`](https://github.com/huggingface/transformers/blob/main/src/transformers/trainer.py#L461-L469) in order for... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
When using the Trainer on a multi-GPU environment, users currently apply a patch that leads to some bugs.
Before running a training they [need to call](https://github.com/huggingface/peft/issues/205#issuecomment-1491455711):
```python
setattr(model, 'model_parallel', True)
setattr(model, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22531 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22531/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22531/comments | https://api.github.com/repos/huggingface/transformers/issues/22531/events | https://github.com/huggingface/transformers/pull/22531 | 1,652,055,124 | PR_kwDOCUB6oc5NfUh5 | 22,531 | [setup] drop deprecated `distutils` usage | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> but we are very happy with the setup as it is.\r\n\r\nThanks for the clarification. The `pyprojct.toml` format is the recommended packaging method in [PEP 517 – A build-system independent format for source trees](https://peps.pytho... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/22530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22530/comments | https://api.github.com/repos/huggingface/transformers/issues/22530/events | https://github.com/huggingface/transformers/issues/22530 | 1,651,973,167 | I_kwDOCUB6oc5idxwv | 22,530 | Multiple eval datasets can only use last dataset for best checkpoint | {
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"It's possible there is a bug, so please open a PR if you think you have the right fix!"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | I have a setup where I evaluate the model on several datasets and only the metrics from the last dataset can be used. The [code from Trainer](https://github.com/huggingface/transformers/blob/559a45d1dc1f46d6e9942cdc9ff5eef5a811a59d/src/transformers/trainer.py#L2234) looks like:
```python
if self.control.should_eva... | {
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https://api.github.com/repos/huggingface/transformers/issues/22529 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22529/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22529/comments | https://api.github.com/repos/huggingface/transformers/issues/22529/events | https://github.com/huggingface/transformers/issues/22529 | 1,651,960,372 | I_kwDOCUB6oc5iduo0 | 22,529 | Intel macOS system with AMD 6900XT GPU, using MPS: cannot get any usable result back from any model | {
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"I just did some mores searching and realised that -9223372036854775808 is \"the smallest value that can be stored in a 64-bit signed integer\" and that this issue looks the same as the Pytorch MPS issue reported here: https://github.com/pytorch/pytorch/issues/92311\r\n\r\nIn that thread, someone reported this work... | 1,680 | 1,680 | 1,680 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.10.10
- Huggingface_hub version: 0.13.3
- Safetensors version: not installed
- PyTorch version (GPU?): 2.1.0.dev20230402 (False) says false but I am using PyTorch on GPU via `mps`
- Tensorflow ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/22528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22528/comments | https://api.github.com/repos/huggingface/transformers/issues/22528/events | https://github.com/huggingface/transformers/pull/22528 | 1,651,867,215 | PR_kwDOCUB6oc5Nerz9 | 22,528 | Add DePlot + MatCha on `transformers` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"All models have been moved to Google org and model cards updated correctly! This PR is ready for review cc @sgugger "
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Adds [MatCha](https://arxiv.org/pdf/2303.18223.pdf) and [DePlot](https://arxiv.org/pdf/2212.10505.pdf) on `transformers`.
Those are two different papers from Google AI but fully based on `Pix2Struct`.
Model weights:
- https://huggingface.co/ybelkada/deplot
- https://huggingface.co/... | {
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https://api.github.com/repos/huggingface/transformers/issues/22527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22527/comments | https://api.github.com/repos/huggingface/transformers/issues/22527/events | https://github.com/huggingface/transformers/pull/22527 | 1,651,707,843 | PR_kwDOCUB6oc5NeJFy | 22,527 | [Pix2struct] Simplify generation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"PR is ready for review, however checkpoints on the hub will need to be updated (`is_encoder_decoder` = True) for this PR to be merged",
"PR is ready, models on the hub don't need to be updated since they don't have `is_encoder_deco... | 1,680 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to fix the warning that is currently printed out when generating text with Pix2Struct:
```
A decoder-only architecture is being used, but right-padding was detected! For correct generation results, please set `padding_side='left'` when initializing the tokenizer.
```
I see ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22526/comments | https://api.github.com/repos/huggingface/transformers/issues/22526/events | https://github.com/huggingface/transformers/pull/22526 | 1,651,628,848 | PR_kwDOCUB6oc5Nd4KW | 22,526 | Fix convert_opt_original_pytorch_checkpoint_to_pytorch.py typo | {
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`load_checkpoint()` silently fails because `".qkj_proj." in key` is always `False`, but will eventually cause an error at `model.load_state_dict(state_dict)`. This PR fixes the typo that causes this issue.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismi... | {
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https://api.github.com/repos/huggingface/transformers/issues/22525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22525/comments | https://api.github.com/repos/huggingface/transformers/issues/22525/events | https://github.com/huggingface/transformers/pull/22525 | 1,651,583,605 | PR_kwDOCUB6oc5NdunS | 22,525 | Update convert_llama_weights_to_hf.py | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Well this was bound to disappear with #22402 😅"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Fix problem mentioned in https://github.com/huggingface/transformers/issues/22287
## 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/tran... | {
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https://api.github.com/repos/huggingface/transformers/issues/22524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22524/comments | https://api.github.com/repos/huggingface/transformers/issues/22524/events | https://github.com/huggingface/transformers/issues/22524 | 1,651,518,628 | I_kwDOCUB6oc5icCyk | 22,524 | I want the 4.28.0.dev0 version of transformers | {
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"you can pip install with source code"
] | 1,680 | 1,680 | 1,680 | NONE | null | ### Feature request
I want the 4.28.0.dev0 version of transformers
### Motivation
I want the 4.28.0.dev0 version of transformers
### Your contribution
I want the 4.28.0.dev0 version of transformers | {
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https://api.github.com/repos/huggingface/transformers/issues/22523 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22523/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22523/comments | https://api.github.com/repos/huggingface/transformers/issues/22523/events | https://github.com/huggingface/transformers/issues/22523 | 1,651,491,183 | I_kwDOCUB6oc5ib8Fv | 22,523 | Each list in `nested_token_ids` can't be a complete subset of another list, but is | {
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"cc @gante",
"Hey @lovodkin93 👋 the constraints feature in beam search is experimental, so our efforts are currently limited to fixing bugs. \r\n\r\nIf you'd like to add the feature yourself, go for it :) ",
"This issue has been automatically marked as stale because it has not had recent activity. If you thin... | 1,680 | 1,683 | 1,683 | NONE | null | ### Feature request
Enable passing disjunctive constraints (https://github.com/huggingface/transformers/blob/main/src/transformers/generation/beam_constraints.py#L261)
where one is a subset of the other
### Motivation
in the constrainted beam decoding feature, specifically in the case of disjunctive constraints, c... | {
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https://api.github.com/repos/huggingface/transformers/issues/22522 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22522/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22522/comments | https://api.github.com/repos/huggingface/transformers/issues/22522/events | https://github.com/huggingface/transformers/pull/22522 | 1,651,376,457 | PR_kwDOCUB6oc5NdCQC | 22,522 | Update docs for assigning path to all_video_file_paths | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22522). All of your documentation changes will be reflected on that endpoint.",
"@amyeroberts yes you're right, the dataset is downloaded to the .cache directory and extracted into local directory. I have updated accordingl... | 1,680 | 1,683 | 1,683 | NONE | null | # What does this PR do?
Updating a few lines in the video classification tasks guide as the way its written it seems like we are not actually iterating over the file paths, but rather the string.
Fixes # (issue)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other... | {
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https://api.github.com/repos/huggingface/transformers/issues/22521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22521/comments | https://api.github.com/repos/huggingface/transformers/issues/22521/events | https://github.com/huggingface/transformers/issues/22521 | 1,651,341,518 | I_kwDOCUB6oc5ibXjO | 22,521 | Codeparrot Humaneval metric error? | {
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"cc @lvwerra ",
"Hi @Keysmis can you report the arguments you used for the script? And what results did you get? We updated some models and maybe we didn't update the reported metrics everywhere. cc @loubnabnl ",
"This issue has been automatically marked as stale because it has not had recent activity. If you t... | 1,680 | 1,684 | 1,684 | NONE | null | Hi~, I tried to reproduce the metrics you reported by running transformers/examples/research_projects/codeparrot/scripts/human_eval.py, and the model is codeparrot-small, but the results have significant deviations. Does anyone could reproduce the results? | {
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https://api.github.com/repos/huggingface/transformers/issues/22520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22520/comments | https://api.github.com/repos/huggingface/transformers/issues/22520/events | https://github.com/huggingface/transformers/issues/22520 | 1,651,143,479 | I_kwDOCUB6oc5ianM3 | 22,520 | Llama Tokenizer uses incorrect indices for PAD | {
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"cc @ArthurZucker -- is this fixed in #22402 ?",
"This is probably not gonna be fixed with regard to the `configuration_llama`. \r\nHowever note that having the `sp_model` sending `-1` as a pad token means that it does not have any indices. Llama does not use a padding token. \r\nThe fix that we provide is that i... | 1,680 | 1,684 | 1,684 | NONE | null | ### System Info
latest transformer main
### Who can help?
@gante
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/22519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22519/comments | https://api.github.com/repos/huggingface/transformers/issues/22519/events | https://github.com/huggingface/transformers/issues/22519 | 1,651,107,794 | I_kwDOCUB6oc5iaefS | 22,519 | Grabbing the output for all Convolution layers in Wav2VecForCTC Model | {
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"cc @sanchit-gandhi and @ArthurZucker ",
"Hey @priyammaz - you can append the hidden-states for each layer to a tuple in the same way that we do for the Wav2Vec2Encoder.\r\n\r\nIn the forward call of `Wav2Vec2FeatureEncoder`:\r\n```python\r\n def forward(self, input_values, output_hidden_states=False):\r\n ... | 1,680 | 1,681 | 1,681 | NONE | null | ### Feature request
I want to be able to grab the output of all 7 convolution blocks from the Wav2VecForCTC model but I cant think of a way to do it. I tried to update the forward function of the Wav2Vec2FeatureEncoder with a new attribute that stores each hidden state of the convolution to a list but the moment I loa... | {
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https://api.github.com/repos/huggingface/transformers/issues/22518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22518/comments | https://api.github.com/repos/huggingface/transformers/issues/22518/events | https://github.com/huggingface/transformers/pull/22518 | 1,650,989,416 | PR_kwDOCUB6oc5NbzTd | 22,518 | Add ViViT | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts thank you for your comments in the previous PR! I have addressed your suggestions and also added the image processor test. \r\n\r\nHowever, I ran `make style`, however the pipeline was failing at check_code_quality. Ther... | 1,680 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Fixes #15666. Reopening #20441, as I have missed the comments provided by @amyeroberts so the issue was closed by the bot.
Add Video Vision Transformer to transformers. This PR implements a spacetime version of the Video Vision Transformer from the original paper.
I have provided the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22517 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22517/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22517/comments | https://api.github.com/repos/huggingface/transformers/issues/22517/events | https://github.com/huggingface/transformers/issues/22517 | 1,650,984,294 | I_kwDOCUB6oc5iaAVm | 22,517 | LLaMA tokenizer seems to be broken | {
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- huggingface_hub version: 0.13.3
- Platform: Linux-5.19.0-32-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Running in iPython ?: No
- Running in notebook ?: No
- Running in Google Colab ?: No
- Token path ?: /root/.cache/huggingface/token
- Has saved token ?: True
- Who am I ?: su... | {
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https://api.github.com/repos/huggingface/transformers/issues/22516 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22516/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22516/comments | https://api.github.com/repos/huggingface/transformers/issues/22516/events | https://github.com/huggingface/transformers/pull/22516 | 1,650,965,176 | PR_kwDOCUB6oc5Nbupe | 22,516 | Generate: Enable easier TextStreamer customization | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> I like the structure, but I dislike the name `on_new_token`. It's actually a callback on \"new print-ready text\". Perhaps `on_finalized_text`? WDYT?\r\n\r\n@gante I am completely indifferent regarding the name. Please adjust the n... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Minimally adapts recently integrated (https://github.com/huggingface/transformers/pull/22449) by adding a more obvious API hook for streaming tokens yet retains all the current semantics.
I am excited to use TextStreamer but I found the hook-in API not as intuitive as it could be if one ne... | {
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https://api.github.com/repos/huggingface/transformers/issues/22515 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22515/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22515/comments | https://api.github.com/repos/huggingface/transformers/issues/22515/events | https://github.com/huggingface/transformers/pull/22515 | 1,650,940,207 | PR_kwDOCUB6oc5NbpvQ | 22,515 | [BLIP] fix cross attentions for BlipTextEncoder | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @ArthurZucker and @younesbelkada ",
"Sure, happy to provide more details. This bug is caused by the all_cross_attentions variable not properly storing the cross-attention produced by each BlipTextLayer. The variable is initializ... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/22514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22514/comments | https://api.github.com/repos/huggingface/transformers/issues/22514/events | https://github.com/huggingface/transformers/pull/22514 | 1,650,925,577 | PR_kwDOCUB6oc5Nbm5d | 22,514 | llama docs: fix conversion script url | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"hmm, probably should work now",
"Could you try pushing an empty commit?",
"Thanks again!"
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | Fixes the link on this page:
https://huggingface.co/docs/transformers/main/model_doc/llama
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https://api.github.com/repos/huggingface/transformers/issues/22513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22513/comments | https://api.github.com/repos/huggingface/transformers/issues/22513/events | https://github.com/huggingface/transformers/issues/22513 | 1,650,866,874 | I_kwDOCUB6oc5iZjq6 | 22,513 | Generate a pre-training model for GAP Computational Discrete Algebra System. | {
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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/main/CONTRIBUTING.md) a... | 1,680 | 1,683 | 1,683 | NONE | null | ### Feature request
I can't find any fine-tuned pre-training models for [GAP Computational Discrete Algebra](https://www.gap-system.org/).
### Motivation
I'm a scholar who conducts research in related fields of mathematical physics based on group theory methods. So, I would like to have a fine-tuned pre-training mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/22512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22512/comments | https://api.github.com/repos/huggingface/transformers/issues/22512/events | https://github.com/huggingface/transformers/issues/22512 | 1,650,649,561 | I_kwDOCUB6oc5iYunZ | 22,512 | PyTorch ViTMAEModel output is not deterministic | {
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"Hi,\r\n\r\nYes that's expected behaviour, see https://github.com/huggingface/transformers/issues/20431",
"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 f... | 1,680 | 1,683 | 1,683 | NONE | null | ### System Info
- `transformers` version: 4.27.4
- Platform: Linux-5.13.0-1023-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 2.0.0+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.6.8 (tpu)
- Jax ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/22511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22511/comments | https://api.github.com/repos/huggingface/transformers/issues/22511/events | https://github.com/huggingface/transformers/issues/22511 | 1,650,593,128 | I_kwDOCUB6oc5iYg1o | 22,511 | Inconsistent issue in multi gpu training single machine | {
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"Could you confirm if the issue persists with the latest release?",
"Hi @sgugger -- just updated to the latest version `4.27.4`. I received this error message last time about the FSDP config not being updated correctly from the command line, slipped my mind. This is why I originally rolled back to `4.26.0` based ... | 1,680 | 1,689 | 1,689 | NONE | null | ### System Info
Environment from `transformers-cli env`:
```
- `transformers` version: 4.26.0
- Platform: Linux-5.15.0-1033-aws-x86_64-with-glibc2.31
- Python version: 3.10.10
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 2.0.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version... | {
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https://api.github.com/repos/huggingface/transformers/issues/22510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22510/comments | https://api.github.com/repos/huggingface/transformers/issues/22510/events | https://github.com/huggingface/transformers/pull/22510 | 1,650,572,073 | PR_kwDOCUB6oc5NafAu | 22,510 | [WIP]🌐[i18n-KO] Translate `autoclass_tutorial` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"To update PR commit comment rule, I closed this PR and will update new PR with new template.\r\nThank you."
] | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/22509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22509/comments | https://api.github.com/repos/huggingface/transformers/issues/22509/events | https://github.com/huggingface/transformers/pull/22509 | 1,650,491,514 | PR_kwDOCUB6oc5NaPJW | 22,509 | docs: ko: sagemaker.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Also please mention @HanNayeoniee instead of your id(@jungnerd) for requesting review on the last 2 lines of your main PR message. Thank you.\r\n\r\nEdit: or just add her 😄 your choice really. Thank you so much for participating on ... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/22508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22508/comments | https://api.github.com/repos/huggingface/transformers/issues/22508/events | https://github.com/huggingface/transformers/pull/22508 | 1,650,473,632 | PR_kwDOCUB6oc5NaLiG | 22,508 | 🌐 [i18n-KO] Translated `pipeline_tutorial.mdx` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hello Mr. @sgugger , thank you for your patience! May you please review & merge this PR?\n\nThe internal review time frame (7 days) has passed since I requested feedback from my colleagues at PseudoLab."
] | 1,680 | 1,682 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/22507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22507/comments | https://api.github.com/repos/huggingface/transformers/issues/22507/events | https://github.com/huggingface/transformers/pull/22507 | 1,650,289,306 | PR_kwDOCUB6oc5NZng1 | 22,507 | Fix NameError `init_empty_weights` when importing Blip2Processor | {
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"@pacman100 Is this something you'd be able to review for me? This my first contribution in this repo but I'm pretty sure it fixes a real issue in loading BLIP2.",
"_The documentation is not available anymore as the PR was closed or merged._",
"Perhaps @NielsRogge, since this is your implementation of BLIP2, yo... | 1,680 | 1,680 | 1,680 | NONE | null | ## Context
Was trying to run [https://huggingface.co/Salesforce/blip2-flan-t5-xl](https://huggingface.co/Salesforce/blip-image-captioning-base) in a colab notebook (after installing `accelerate`) and was getting an error when importing Blip2Processor:
```
NameError `init_empty_weights` is not defined
```
<img wid... | {
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https://api.github.com/repos/huggingface/transformers/issues/22506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22506/comments | https://api.github.com/repos/huggingface/transformers/issues/22506/events | https://github.com/huggingface/transformers/issues/22506 | 1,650,283,109 | I_kwDOCUB6oc5iXVJl | 22,506 | Dynamic module import error when using ddp | {
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"Thanks for raising this issue. I think this is linked to #21646, I will push a fix shortly."
] | 1,680 | 1,680 | 1,680 | NONE | null | ### System Info
- `transformers` version: 4.27.3
- Platform: Linux-5.4.0-72-generic-x86_64-with-glibc2.10
- Python version: 3.8.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22505/comments | https://api.github.com/repos/huggingface/transformers/issues/22505/events | https://github.com/huggingface/transformers/issues/22505 | 1,650,267,741 | I_kwDOCUB6oc5iXRZd | 22,505 | HF CLIP image features different from OpenAI CLIP image features | {
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"Hi @junwang-wish, thanks for reporting this issue and the detailed reproduction script. I'll dig into this to find where the differences are coming from. ",
"Thanks @amyeroberts , due to the significant difference would u recommend me to use HF clip or OpenAI clip based on your domain expertise?",
"@junwang-wi... | 1,680 | 1,702 | 1,702 | NONE | null | ### System Info
python3.8, CUDA 12.1, Ubuntu20.02, latest clip, transformers==4.26.1
### Who can help?
@amyeroberts
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or... | {
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https://api.github.com/repos/huggingface/transformers/issues/22504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22504/comments | https://api.github.com/repos/huggingface/transformers/issues/22504/events | https://github.com/huggingface/transformers/issues/22504 | 1,650,105,658 | I_kwDOCUB6oc5iWp06 | 22,504 | Expose callback for download progress | {
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"This looks like a feature that would need to be implemented in `huggingface_hub` first, then we would use it here and pass along the proper argument.\r\n\r\ncc @Wauplin and @LysandreJik ",
"Hey @tristanMatthias :wave: This is a tricky feature request as I don't want to complexify too much the current API/impleme... | 1,680 | 1,683 | 1,683 | NONE | null | ### Feature request
When using `AutoTokenizer` and `AutoModelForCausalLM`, I would like be able to pass a callback function (or some other solution) that will allow me to report on the status of the download if it's not cached.
```
AutoTokenizer.from_pretrained(
model_name,
download_progress_callback=lambda ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22503 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22503/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22503/comments | https://api.github.com/repos/huggingface/transformers/issues/22503/events | https://github.com/huggingface/transformers/pull/22503 | 1,649,909,389 | PR_kwDOCUB6oc5NYYN5 | 22,503 | Add copied from statements for image processors | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22503). All of your documentation changes will be reflected on that endpoint.",
"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... | 1,680 | 1,683 | 1,683 | COLLABORATOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/22502 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22502/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22502/comments | https://api.github.com/repos/huggingface/transformers/issues/22502/events | https://github.com/huggingface/transformers/issues/22502 | 1,649,893,242 | I_kwDOCUB6oc5iV196 | 22,502 | Running LlamaForCausalLM with MPS provokes "RuntimeError: MPS does not support cumsum op with int64 input" | {
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"Relevant stack trace (can provide more if needed):\r\n\r\n> File [~/Developer/python39_env/lib/python3.9/site-packages/transformers/generation/utils.py:2245](https://file+.vscode-resource.vscode-cdn.net/Users/kechan/Library/CloudStorage/GoogleDrive-kelvin%40jumptools.com/My%20Drive/LLaMA/notebooks/~/Developer/pyth... | 1,680 | 1,700 | 1,680 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: macOS-13.2.1-arm64-arm-64bit
- Python version: 3.9.6
- Huggingface_hub version: 0.13.3
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/22501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22501/comments | https://api.github.com/repos/huggingface/transformers/issues/22501/events | https://github.com/huggingface/transformers/pull/22501 | 1,649,864,442 | PR_kwDOCUB6oc5NYO7w | 22,501 | Generate: `TextIteratorStreamer` (streamer for gradio) | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | MEMBER | null | # What does this PR do?
Following the previous streamer PR (#22449), this PR adds a streamer that can be used as an iterator. If we want to use the iterator while generate is running, they must be on separate threads (naturally).
The interface looks quite simple, as can be seen in the documentation 🤗 The only ki... | {
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https://api.github.com/repos/huggingface/transformers/issues/22500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22500/comments | https://api.github.com/repos/huggingface/transformers/issues/22500/events | https://github.com/huggingface/transformers/pull/22500 | 1,649,830,599 | PR_kwDOCUB6oc5NYH1D | 22,500 | Make tiny model creation + pipeline testing more robust | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,680 | 1,680 | 1,680 | COLLABORATOR | null | (After this, we/I can start to look the current skipped failing pipeline tests. I will also start to write the documentation on how some CIs are performed on Notion)
# What does this PR do?
- make pipeline testing **could also** work against **local** tiny models
- make tiny model creation script work with multi... | {
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https://api.github.com/repos/huggingface/transformers/issues/22499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22499/comments | https://api.github.com/repos/huggingface/transformers/issues/22499/events | https://github.com/huggingface/transformers/issues/22499 | 1,649,735,711 | I_kwDOCUB6oc5iVPgf | 22,499 | Make FlaxPreTrainedModel a Flax Module | {
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"One additional note, in the current state of #22479 `dataclasses.replace` still doesn't work, which is why the `test_clone` test is not passing:\r\n\r\nhttps://github.com/huggingface/transformers/pull/22479/files#diff-abf3849ef52688f44671a0752d5a74bf08c861db1eaaab7a4827e52b17cc9dcbR166-R169",
"> One thing to not... | 1,680 | 1,690 | 1,690 | NONE | null | ### Feature request
Issue for discussing #22627
As stated the idea is to make `FlaxPreTrainedModel` a `nn.Module` so Flax users can easily integrate it into other Flax networks or systems that expect Flax Modules.
## Requirements
1. Be backward compatible, it is desirable not to brake any existing `transfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/22498 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22498/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22498/comments | https://api.github.com/repos/huggingface/transformers/issues/22498/events | https://github.com/huggingface/transformers/pull/22498 | 1,649,726,862 | PR_kwDOCUB6oc5NXyxW | 22,498 | Implemented safetensors checkpoints save/load for Trainer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Should be fine now. @sgugger can you have a look?",
"One test failed:\r\n```\r\n=================================== FAILURES ===================================\r\n_________________ WhisperModelTest.test_equivalence_pt_to_flax ____... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/22497 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22497/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22497/comments | https://api.github.com/repos/huggingface/transformers/issues/22497/events | https://github.com/huggingface/transformers/pull/22497 | 1,649,662,666 | PR_kwDOCUB6oc5NXlIp | 22,497 | Update Neptune callback docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR! For the formatting, could you apply `make style` on your branch (after a `pip install -e .[\"quality\"]`) so that it's auto-fixed? In particular multi-line argument descriptions need to be all in the indented bloc... | 1,680 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Updates to the `NeptuneCallback` docstring:
- Update links to Neptune docs following migration
- Formatting
## Before submitting
- [x] 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/22496 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22496/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22496/comments | https://api.github.com/repos/huggingface/transformers/issues/22496/events | https://github.com/huggingface/transformers/pull/22496 | 1,649,622,770 | PR_kwDOCUB6oc5NXcuu | 22,496 | feat: Whisper prompting | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey this PR looks really good (although I'll leave the actual review to Sanchit or Arthur). \r\n\r\nI was just wondering whether it also makes sense to support the `condition_on_previous_text` option that the OpenAI repo has, since t... | 1,680 | 1,706 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Closes #22395, thank you @sanchit-gandhi for the descriptive ask!
Note: due to initial scope expansion the commit history includes initial work towards `condition_on_previous_text`, `always_use_initial_prompt`, and pipeline integration, but these efforts have been pushed to a later PR
Thi... | {
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https://api.github.com/repos/huggingface/transformers/issues/22495 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22495/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22495/comments | https://api.github.com/repos/huggingface/transformers/issues/22495/events | https://github.com/huggingface/transformers/issues/22495 | 1,649,533,416 | I_kwDOCUB6oc5iUeHo | 22,495 | Unable to pre-train Roberta from scratch using example/run_mlm.py script | {
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"roberta is coded in a hacky way which requires you to set its `max_position_embeddings` to the len of the tokenizer +2 (for instance its 514 for `roberta-base`).",
"How can I set that in the script?",
"By changing the line creating the config for instance.",
"This issue has been automatically marked as stale... | 1,680 | 1,701 | 1,683 | NONE | null | ### System Info
- `transformers` version: 4.27.0.dev0
- Platform: Linux-4.19.0-23-cloud-amd64-x86_64-with-debian-10.13
- Python version: 3.7.12
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not ins... | {
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