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https://api.github.com/repos/huggingface/transformers/issues/26530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26530/comments | https://api.github.com/repos/huggingface/transformers/issues/26530/events | https://github.com/huggingface/transformers/pull/26530 | 1,921,441,147 | PR_kwDOCUB6oc5bpeKy | 26,530 | [Doctest] Add configuration_roformer.py | {
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"@ydshieh Please have a look at this π",
"@ydshieh Please Check this!!",
"Sorry, I forgot to check, but we should remove the entry `src/transformers/models/roformer/configuration_roformer.py` from the file `utils/not_doctested.txt`. Otherwise the doctest won't be triggered.",
"@ydshieh Sir, Please Check this... | 1,696 | 1,696 | 1,696 | CONTRIBUTOR | null | Adds configuration_roformer.py to utils/documentation_tests.txt
Based on https://github.com/huggingface/transformers/issues/19487
@ydshieh Please have a look at this π | {
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"cc @sanchit-gandhi ",
"I sadly won't have time to contribute the Flax UmT5 model myself, but would be more than happy to assist anyone who wants to give the integration a go themselves! We could largely leverage the Flax T5 modelling code, so it could be quite a fast addition: https://github.com/huggingface/tran... | 1,696 | 1,701 | null | NONE | null | ### Feature request
I'd like to have the UmT5 Flax modelling file, there was a PR for it https://github.com/huggingface/transformers/pull/22626 but was closed by https://github.com/huggingface/transformers/pull/24477 PR. The new one only has UmT5 PyTorch modelling file.
### Motivation
Since UmT5 is originally implem... | {
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https://api.github.com/repos/huggingface/transformers/issues/26528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26528/comments | https://api.github.com/repos/huggingface/transformers/issues/26528/events | https://github.com/huggingface/transformers/pull/26528 | 1,921,412,936 | PR_kwDOCUB6oc5bpYM7 | 26,528 | [Doctest] Add configuration_roformer.py | {
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<!--
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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/26527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26527/comments | https://api.github.com/repos/huggingface/transformers/issues/26527/events | https://github.com/huggingface/transformers/pull/26527 | 1,921,361,368 | PR_kwDOCUB6oc5bpNe4 | 26,527 | Warnings controlled by logger level | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,696 | 1,697 | 1,697 | MEMBER | null | This explicitely shows how to control `warnings` using the `logging` level setters in `transformers.
Fix https://github.com/huggingface/transformers/issues/26381 | {
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https://api.github.com/repos/huggingface/transformers/issues/26526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26526/comments | https://api.github.com/repos/huggingface/transformers/issues/26526/events | https://github.com/huggingface/transformers/issues/26526 | 1,921,309,575 | I_kwDOCUB6oc5yhNuH | 26,526 | Get different inference answers and short time usage when calling LLama the second time | {
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"cc @ArthurZucker @younesbelkada ",
"Hey @yixliu1, thanks for your report!\r\n\r\nCould you share the details of your environment so that we may investigate? \r\n\r\nYou can do so by pasting the result of `transformers-cli env` to this report.\r\n\r\nYou need specific hardware to run 8 bit models, and it's import... | 1,696 | 1,699 | 1,699 | NONE | null | So when I first time load in and generate result, the load in time and inference time is longer (about 70s), it gives me a much sensible result. But when I reexecute the same code, I get a different result that it's non-sensible at all. (for ex: I ask it to generate 10 Q&A, the first time it will gives me the Q&A pairs... | {
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https://api.github.com/repos/huggingface/transformers/issues/26525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26525/comments | https://api.github.com/repos/huggingface/transformers/issues/26525/events | https://github.com/huggingface/transformers/pull/26525 | 1,921,272,952 | PR_kwDOCUB6oc5bo6zc | 26,525 | Updated deepspeed.py,test_optimization.py | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/26524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26524/comments | https://api.github.com/repos/huggingface/transformers/issues/26524/events | https://github.com/huggingface/transformers/pull/26524 | 1,921,142,562 | PR_kwDOCUB6oc5bofCE | 26,524 | Fix `JumanppTokenizer` to deal with half-width spaces properly | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26524). 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... | 1,696 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
This PR addresses the issue with the `JumanppTokenizer` that incorrectly handled half-width spaces by replacing them with full-width spaces. This problem originated from a bug in the dependent library, `rhoknp`. This PR resolves this bug by updating `rhoknp` to the latest version.
Before t... | {
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https://api.github.com/repos/huggingface/transformers/issues/26523 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26523/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26523/comments | https://api.github.com/repos/huggingface/transformers/issues/26523/events | https://github.com/huggingface/transformers/issues/26523 | 1,921,027,814 | I_kwDOCUB6oc5ygI7m | 26,523 | Wrong translation of the Helsinki-NLP/opus-mt-es-en encoder and decoder in ONNX | {
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"Hey! Thanks for reporting, this is a duplicate of #26271 and #26216 π I'll try to adresse this asap",
"I opened PRs for the models that were affected online, mostly big and base models. Now the conversion script just needs to be updated to reflect this change! ",
"I don't consider it done yet since I since t... | 1,696 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.28.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.9.7
- Huggingface_hub version: 0.14.1
- Safetensors version: not installed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26522 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26522/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26522/comments | https://api.github.com/repos/huggingface/transformers/issues/26522/events | https://github.com/huggingface/transformers/pull/26522 | 1,920,887,429 | PR_kwDOCUB6oc5bnqE5 | 26,522 | Add SigLIP | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26522). 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... | 1,696 | 1,706 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
This PR adds Google's new SigLIP model (CLIP with a better loss function). It's based on the [Google Colab](https://colab.research.google.com/github/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/SigLIP_demo.ipynb) provided by the authors.
cc @patil-suraj feel free... | {
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https://api.github.com/repos/huggingface/transformers/issues/26521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26521/comments | https://api.github.com/repos/huggingface/transformers/issues/26521/events | https://github.com/huggingface/transformers/issues/26521 | 1,920,884,515 | I_kwDOCUB6oc5yfl8j | 26,521 | [Feature Request] LLaMA task implementation for TokenClassification | {
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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... | 1,696 | 1,703 | 1,701 | NONE | null | ### Feature request
Hi,
I was trying to compare LLaMA 2 to the Roberta based model I used in a (soon to be published) study.
For Roberta, I implemented a version of token classification that outputs the one hot encodings.
However, it doesn't work with LLaMA because of optimisations done elsewhere in the code.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/26520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26520/comments | https://api.github.com/repos/huggingface/transformers/issues/26520/events | https://github.com/huggingface/transformers/pull/26520 | 1,920,851,643 | PR_kwDOCUB6oc5bniuK | 26,520 | [WIP] Add Support for masking output using a Context-Free-Grammar | {
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"Thanks for your PR! I'm prompting @gante for review once he's back from leave :)\r\n\r\nI appreciate your effort and patience @jvhoffbauer!",
"> Thanks for your PR! I'm prompting @gante for review once he's back from leave :)\r\n> \r\n> I appreciate your effort and patience @jvhoffbauer!\r\n\r\nHey @LysandreJik,... | 1,696 | 1,704 | null | NONE | null | # What does this PR do?
Fixes #25778
# Review
@gante @LysandreJik as discussed. Also, @oobabooga @ArthurZucker @jorgemcgomes feel free to look at this.
This is in large parts inspired by [rellm](https://github.com/r2d4/rellm/tree/main) and [parserllm](https://github.com/r2d4/parserllm) by @r2d4 so I am tagging... | {
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https://api.github.com/repos/huggingface/transformers/issues/26519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26519/comments | https://api.github.com/repos/huggingface/transformers/issues/26519/events | https://github.com/huggingface/transformers/pull/26519 | 1,920,845,395 | PR_kwDOCUB6oc5bnhcY | 26,519 | [Doctest] Add `configuration_encoder_decoder.py` | {
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"@ydshieh please look into this. I'm to this.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26519). All of your documentation changes will be reflected on that endpoint."
] | 1,696 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/26518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26518/comments | https://api.github.com/repos/huggingface/transformers/issues/26518/events | https://github.com/huggingface/transformers/pull/26518 | 1,920,770,572 | PR_kwDOCUB6oc5bnSEh | 26,518 | Fix requests connection error during modelcard creation | {
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Fixes #26517
## Who can review?
@muellerzr @pacman100 | {
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- `transformers` version: 4.34.0.dev0
- Platform: Linux-5.15.0-84-generic-x86_64-with-glibc2.35
- Python version: 3.9.18
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.24.0.dev0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (True)... | {
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https://api.github.com/repos/huggingface/transformers/issues/26516 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26516/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26516/comments | https://api.github.com/repos/huggingface/transformers/issues/26516/events | https://github.com/huggingface/transformers/pull/26516 | 1,920,744,061 | PR_kwDOCUB6oc5bnMqS | 26,516 | feat: change the flow of data preprocess and avoid bug in remove columns | {
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"Hey @pphuc25! Thanks for your enthusiasm here! As mentioned [previously](https://github.com/huggingface/transformers/pull/26516#pullrequestreview-1653115447), this examples script is not the best place to make performance optimisations, since it's currently a WIP script (or more truthfully, a 'broken' script). If ... | 1,696 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
I change the data flow of prepare_dataset function, make a case to avoid remove `speech` columns
While examining the 'wav2vec2' workflow, I noticed that the `prepare_dataset` function typically takes the path of audio files and converts them into audio arrays. However, I believe this approac... | {
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https://api.github.com/repos/huggingface/transformers/issues/26515 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26515/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26515/comments | https://api.github.com/repos/huggingface/transformers/issues/26515/events | https://github.com/huggingface/transformers/pull/26515 | 1,920,702,739 | PR_kwDOCUB6oc5bnEJc | 26,515 | π [i18n-KO] Translated `semantic_segmentation.md` to Korean | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26515). All of your documentation changes will be reflected on that endpoint."
] | 1,696 | 1,696 | 1,696 | CONTRIBUTOR | null | <!-- PRμ μ λͺ©μ "π [i18n-KO] Translated `<your_file>.md` to Korean" μΌλ‘ λΆνλ립λλ€! -->
# What does this PR do?
Translated the `semantic_segmentation.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
... | {
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https://api.github.com/repos/huggingface/transformers/issues/26514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26514/comments | https://api.github.com/repos/huggingface/transformers/issues/26514/events | https://github.com/huggingface/transformers/issues/26514 | 1,920,664,176 | I_kwDOCUB6oc5yewJw | 26,514 | Whisper generate does not operate as expected with DDP | {
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"Thanks for opening this issue @AvivSham! Essentially, Whisper prompting at inference time assumes a batch size of 1. This is quite limiting, so we should extend it to handling batched inputs. I'll open a PR to fix this!",
"@sanchit-gandhi any update on this one? the auto-bot marked it as stale for some reason. ... | 1,696 | 1,707 | null | NONE | null | ### System Info
Hi all,
Based on [the conversation](https://github.com/huggingface/transformers/issues/24272#issuecomment-1729975005), @sanchit-gandhi has requested me to open a new issue.
As mentioned before we are trying to fine-tune Whisper with prompts on `4 V100 GPU` machine. Following [your suggestion](https:/... | {
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https://api.github.com/repos/huggingface/transformers/issues/26513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26513/comments | https://api.github.com/repos/huggingface/transformers/issues/26513/events | https://github.com/huggingface/transformers/issues/26513 | 1,920,602,365 | I_kwDOCUB6oc5yehD9 | 26,513 | [Flash Attention 2]: flash attention 2 support for BLOOM | {
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https://api.github.com/repos/huggingface/transformers/issues/26512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26512/comments | https://api.github.com/repos/huggingface/transformers/issues/26512/events | https://github.com/huggingface/transformers/issues/26512 | 1,920,568,298 | I_kwDOCUB6oc5yeYvq | 26,512 | Error when loading models to DirectML after PR#24505 | {
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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... | 1,696 | 1,701 | 1,701 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.0+cpu (False)
- Tensorflow version (GPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/26511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26511/comments | https://api.github.com/repos/huggingface/transformers/issues/26511/events | https://github.com/huggingface/transformers/pull/26511 | 1,920,432,982 | PR_kwDOCUB6oc5bmLWX | 26,511 | [WIP] NllbTokenizer: optionally list language codes in the config, to enable updating it more smoothly | {
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https://api.github.com/repos/huggingface/transformers/issues/26510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26510/comments | https://api.github.com/repos/huggingface/transformers/issues/26510/events | https://github.com/huggingface/transformers/issues/26510 | 1,920,412,710 | I_kwDOCUB6oc5ydywm | 26,510 | NotImplementedError: Cannot copy out of meta tensor; no data! | {
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"Hello sir can you assign the issue to me",
"It does not provide me the option to assign anyone. Sorry!",
"@mdazfar2 feel free to open a PR and link it to this issue if you'd like to work on it!",
"It works without FSDP (i.e. with DDP)\r\nwith FSDP it is not working",
"@LysandreJik Yeah okk i will do it now... | 1,696 | 1,705 | 1,705 | NONE | null | ### System Info
transformers==4.34.0.dev0
accelerate==0.23.0
torch==2.0.1
cuda==11.7
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own tas... | {
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https://api.github.com/repos/huggingface/transformers/issues/26509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26509/comments | https://api.github.com/repos/huggingface/transformers/issues/26509/events | https://github.com/huggingface/transformers/issues/26509 | 1,920,399,144 | I_kwDOCUB6oc5ydvco | 26,509 | Issue working with the Trainer class. ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0.20.1`: Please run `pip install transformers[torch]` or `pip install accelerate -U` | {
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"Hello, what is the error you encountered?",
"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/huggin... | 1,696 | 1,699 | 1,699 | NONE | null | ### System Info
google colab
transformers version : (4.33.3)
### Who can help?
_No response_
### Information
- [ ] 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 detail... | {
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I used the Huggingface version of the 'BLIP' model to do some image capturing fine-tuning.
The BLIP introduction link and BlipVisionConfig had a default image size of 224,
so I scaled the image size of my training data to 224 and used it.
But when I got a lower score than I expected,
I was puzzl... | {
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https://api.github.com/repos/huggingface/transformers/issues/26507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26507/comments | https://api.github.com/repos/huggingface/transformers/issues/26507/events | https://github.com/huggingface/transformers/pull/26507 | 1,920,294,894 | PR_kwDOCUB6oc5blxAb | 26,507 | [Falcon] Fix AutoConfig Tests | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26507). All of your documentation changes will be reflected on that endpoint.",
"Thanks for your PR @sanchit-gandhi!\r\n\r\nClosing in favor of https://github.com/huggingface/transformers/pull/26472"
] | 1,696 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
Fixes the auto-config Falcon tests that were failing on `main` after merging #26476. Note that the latest version of the Falcon model on the Hub specifies a model type of `falcon`, following @Rocketknight1's Hub commit [898df13](https://huggingface.co/tiiuae/falcon-7b/commit/898df1396f35e447d... | {
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"Hey, is there a reason why you opened this one as well as #27031 ? "
] | 1,696 | 1,698 | 1,698 | NONE | null | ### Model description
Combines best practices of CLIP and object detectors.
Allows for localization of text and image content.
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links for the implementation
github https://github.com/microsof... | {
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https://api.github.com/repos/huggingface/transformers/issues/26505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26505/comments | https://api.github.com/repos/huggingface/transformers/issues/26505/events | https://github.com/huggingface/transformers/pull/26505 | 1,920,226,407 | PR_kwDOCUB6oc5bljwn | 26,505 | docs: feat: add clip notebook resources from OSSCA community | {
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"That's cool! Feel free to ping us when you'd like that to be merged :)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26505). All of your documentation changes will be reflected on that endpoint."
] | 1,696 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
Adds a notebook resource of CLIP on:
- How to fine-tune CLIP with Korean multimodal dataset
- How to use CLIP for image-text similarity.
The notebook is created by our OSSCA community.
Part of https://github.com/huggingface/transformers/issues/20055
## Before submitting
- [x] This PR... | {
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https://api.github.com/repos/huggingface/transformers/issues/26504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26504/comments | https://api.github.com/repos/huggingface/transformers/issues/26504/events | https://github.com/huggingface/transformers/issues/26504 | 1,920,148,640 | I_kwDOCUB6oc5ycySg | 26,504 | Add LISA Model | {
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"Hi @NielsRogge @amyeroberts @patrickvonplaten I'm not sure if I can add this model here because its weights are present in the hub.\r\nWeights: https://huggingface.co/xinlai/LISA-7B-v1\r\n\r\nLet me know if I can add this. Thanks :)",
"Hi, sure would be a nice addition. However we could perhaps first use the mo... | 1,696 | 1,696 | null | NONE | null | ### Model description
LISA: Reasoning Segmentation via Large Language Model
It proposes a new segmentation task --- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text.
### Open source status
- [X] The model implementation is available
- [X] The mode... | {
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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... | 1,696 | 1,707 | null | CONTRIBUTOR | null | # What does this PR do?
<!--
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"Hi @younesbelkada , I am trying to add FlashAttention support for GPT2 but some of my checks are failing : test_flax, test_tf etc. and they are pointing at Falcon Override Test Failures.\r\n\r\n\r\nI referenced edit made [here](https://github.com/huggingface/transformers/pull/26463/files), while making my change... | 1,696 | 1,699 | 1,699 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/26501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26501/comments | https://api.github.com/repos/huggingface/transformers/issues/26501/events | https://github.com/huggingface/transformers/issues/26501 | 1,920,059,174 | I_kwDOCUB6oc5ycccm | 26,501 | Add FAST model | {
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"I will be working on this .",
"Hello @raghavanone! \r\n\r\nI find this model and idea more interesting...\r\nI would like to work along with you"
] | 1,696 | 1,696 | null | CONTRIBUTOR | null | ### Model description
FAST model does efficient scene text detection and will be good addition to repo.
Paper : https://arxiv.org/pdf/2111.02394
Code : https://github.com/czczup/FAST
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links... | {
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https://api.github.com/repos/huggingface/transformers/issues/26500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26500/comments | https://api.github.com/repos/huggingface/transformers/issues/26500/events | https://github.com/huggingface/transformers/issues/26500 | 1,920,031,746 | I_kwDOCUB6oc5ycVwC | 26,500 | Tokenizer pad token not saved with save_pretrained | {
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"Having a look now! Thanks \r\n",
"Okay, quite suprisingly, the previous behaviour only saved the pad token to `special_tokens_map.json` and not in the `tokenizer_config.json`. Thus the padding was set to `null` in both the `tokenizer_config.json` and the `tokenizer.json`. Which IMO is not good π ",
"This par... | 1,696 | 1,696 | 1,696 | NONE | null | ### System Info
works on 4.33.3 (with tokenizers==0.13.3), fails on main (with tokenizers==0.14.0)
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26499/comments | https://api.github.com/repos/huggingface/transformers/issues/26499/events | https://github.com/huggingface/transformers/pull/26499 | 1,920,021,911 | PR_kwDOCUB6oc5bk7bi | 26,499 | [integration] Update Ray Tune integration for Ray 2.7 | {
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"Tagging @muellerzr @pacman100 -- who can help get this PR in? Thanks!",
"@justinvyu FYI seems like there's still some errors/issues with this: https://github.com/huggingface/transformers/issues/27598",
"Ah thanks for confirming the fix with the user, I'll take a look at that.",
"@muellerzr I took a look at t... | 1,696 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Ray 2.7 introduced some backwards-incompatible API changes, which broke the HuggingFace transformers integration with Ray Tune `trainer.hyperparameter_search(backend="ray")`. This PR fixes the integration to use the new APIs. Note that this means that the next transformers version will no lon... | {
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"I have tried:\r\n2e-5, 1e-5, 8e-6, 6e-6, 4e-6, with and without flash attention/xformers/none, with and without packing, with 0.1 and 0.01 weight decay, with long, medium, and short warmups (between 0.01% and 80% warmup steps to total steps), I've tried with Hermes 2.0, Hermes 1.0 (which has been trained on llama ... | 1,696 | 1,703 | 1,703 | NONE | null | ### System Info
Hello, I've been working with dhokas who finetuned Mistral's official instruct model. I have been trying to finetune mistral with several datasets over dozens of ablations. There is very insane loss instability training this model with transformers that never seems to appear with his training runs whic... | {
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https://api.github.com/repos/huggingface/transformers/issues/26497 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26497/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26497/comments | https://api.github.com/repos/huggingface/transformers/issues/26497/events | https://github.com/huggingface/transformers/issues/26497 | 1,919,943,470 | I_kwDOCUB6oc5ycAMu | 26,497 | NllbTokenizer: optionally list language codes in the config, to enable updating it more smoothly | {
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"WDYT @ArthurZucker?",
"Mmm I guess for now this can make sense, but think when refactoring NLLB, the FAIRSEQ_LANGUAGE_CODES will be the default of `additional_special_tokens` in the correct order, removing the need to change this. You can also already add language codes using `additional_special_tokens`",
"Tha... | 1,696 | 1,707 | 1,707 | NONE | null | ### Feature request
Currently, `NllbTokenizer` during initialization takes the list of language codes from a hardcoded constant FAIRSEQ_LANGUAGE_CODES.
I propose enable overriding this list with a field in the tokenizer config (but still keep the current behaviour as the default one).
As a result, the users will... | {
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https://api.github.com/repos/huggingface/transformers/issues/26496 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26496/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26496/comments | https://api.github.com/repos/huggingface/transformers/issues/26496/events | https://github.com/huggingface/transformers/pull/26496 | 1,919,751,353 | PR_kwDOCUB6oc5bkAgI | 26,496 | Add MAEST (Music Audio Efficient Spectrogram Transformer) model | {
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"Setting this PR as a draft, for now, since several tests are not passing locally on `test_modeling_maest.py`. Similarly, I found that the same tests are not passing for `test_modeling_audio_spectrogram_transformer`.py, so I'll need to investigate it.",
"This issue has been automatically marked as stale because i... | 1,696 | 1,699 | 1,699 | NONE | null | # What does this PR do?
This PR implements the MAEST models (based on AST) as proposed in #26491.
## 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... | {
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"We'll be releasing v4.34.0 tomorrow. Mistral cannot be added to v4.33 through a patch as this would not respect semantic versioning.\r\n\r\nIn the meantime, feel free to install from source: `pip install git+https://github.com/huggingface/transformers`",
"Do you think it will support dilated attention ? I saw t... | 1,696 | 1,698 | 1,698 | NONE | null | ### Feature request
release transformers-v4.33.4.
### Motivation
> This should not be required after transformers-v4.33.4.
mistral needs it https://mistral.ai/news/announcing-mistral-7b/
### Your contribution
yes, happy to help, let me know | {
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https://api.github.com/repos/huggingface/transformers/issues/26494 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26494/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26494/comments | https://api.github.com/repos/huggingface/transformers/issues/26494/events | https://github.com/huggingface/transformers/pull/26494 | 1,919,559,818 | PR_kwDOCUB6oc5bjYP3 | 26,494 | [Wav2Vec2 and Co] Update init tests for PT 2.1 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,696 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
Wrapping modules in `nn.utils.parameterization.weight_norm` changes the weight signature vs vanilla `nn.utils.weight_norm`: https://github.com/huggingface/transformers/blob/1b8decb04c246ec8e1c4ba7f2749043d0876d24e/src/transformers/models/wav2vec2/modeling_wav2vec2.py#L379-L381
I've updated... | {
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https://api.github.com/repos/huggingface/transformers/issues/26493 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26493/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26493/comments | https://api.github.com/repos/huggingface/transformers/issues/26493/events | https://github.com/huggingface/transformers/pull/26493 | 1,919,398,983 | PR_kwDOCUB6oc5bi1tJ | 26,493 | Make `ModelOutput` serializable | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"\r\n> passing a ModelOutput instance in a multiprocessing queue\r\n\r\nI have experience regarding things become slow (or even blocked) when passing (large) tensors between processes. \r\n\r\nBut maybe things change along time and th... | 1,695 | 1,697 | 1,696 | CONTRIBUTOR | null | Currently, `@dataclass` `ModelOutput` instances can't be pickled, which can be inconvenient in some situations
This PR fixes this by adding a custom `__reduce__` method to the `ModelOutput` class
Original PR from diffusers : https://github.com/huggingface/diffusers/pull/5234
**EDIT**: Actual use case for me is p... | {
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https://api.github.com/repos/huggingface/transformers/issues/26492 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26492/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26492/comments | https://api.github.com/repos/huggingface/transformers/issues/26492/events | https://github.com/huggingface/transformers/issues/26492 | 1,919,231,494 | I_kwDOCUB6oc5yZSYG | 26,492 | Perplexity Issue Re-loading models with bnb quantisation | {
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"Hi @RonanKMcGovern, thanks for reporting. Can you give us a minimal reproducer and more information on the perplexity degradation ? Also, what did you use for dequantization ? Did you merge the adapters on top of the base model or did you use `merge_and_unload` from this [PR](https://github.com/huggingface/peft/pu... | 1,695 | 1,701 | 1,696 | NONE | null | ### System Info
transformers latest
### Who can help?
@SunMarc and @younesbelkada
### Information
- [ ] The official example scripts
- [X] 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)
###... | {
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https://api.github.com/repos/huggingface/transformers/issues/26491 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26491/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26491/comments | https://api.github.com/repos/huggingface/transformers/issues/26491/events | https://github.com/huggingface/transformers/issues/26491 | 1,919,149,846 | I_kwDOCUB6oc5yY-cW | 26,491 | Adding MAEST model | {
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"If the model is exactly the same, then you only need to add a `MaestFeatureExtractor` class. One can use the Auto classes to load the model (`AutoModel` and `AutoModelForAudioClassification`).",
"@NielsRogge, thank you for the feedback!\r\n\r\nI confirm that my models can be run with the `ASTModel` and `ASTModel... | 1,695 | 1,701 | 1,701 | NONE | null | ### Model description
Hi:)
The Music Audio Efficient Spectrogram Transformer (MAEST) features the same architecture as [AST](https://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformer) (or ViT) and is specifically trained for music applications. MAEST features a head performing music style cla... | {
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https://api.github.com/repos/huggingface/transformers/issues/26490 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26490/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26490/comments | https://api.github.com/repos/huggingface/transformers/issues/26490/events | https://github.com/huggingface/transformers/pull/26490 | 1,919,144,223 | PR_kwDOCUB6oc5bh-AF | 26,490 | Fix num_heads in _upad_input | {
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"@younesbelkada Just did π ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26490). All of your documentation changes will be reflected on that endpoint.",
"I do not have time at the moment. Leave it as a TODO and I might pick up the task in the coming weeks."
] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
The variable num_key_value_heads in the FlashAttention Module has falsely been named num_heads, which led to reshaping the query_layer using the wrong attention head count. (It would have been enough to use the correct variable self.num_heads instead of num_heads, but I renamed num_heads to n... | {
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"This time all the tests are passed because there are no generative models.\r\n\r\n\r\n\r\n",
"This issue has been automatically marked as stale because it has not had recent act... | 1,695 | 1,699 | 1,699 | 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/26488 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26488/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26488/comments | https://api.github.com/repos/huggingface/transformers/issues/26488/events | https://github.com/huggingface/transformers/pull/26488 | 1,918,879,223 | PR_kwDOCUB6oc5bhEBN | 26,488 | [`PEFT`] Pass token when calling `find_adapter_config` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This seems to fix the issue for me. Shall we merge it? Or figure out the actual cause?",
"@younesbelkada `adapter_kwargs` can be `None`, in which case the code breaks. [Here](https://github.com/huggingface/transformers/blob/main/sr... | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes an issue that was reported on Spaces. I was not able to reproduce the issue locally though.
When loading a model with `token=True` (i.e. on a gated or private repository), `find_adapter_config` will try to look for an adapter file inside a private repository without the token,... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26487). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
It fixes a broken link in the VideoMAE documentation.
## 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://github.com/huggingface/transformers/blob/main/CONTRIBUT... | {
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"Again, all tests are passing except the test_flash_attn_2_generate_use_cache test.\r\n\r\n\r\nHi @younesbelkada , you might need to run the tests on your end to double check, I am... | 1,695 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
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Skip 2 Persimmon pipeline tests for now. | {
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] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
Before this PR we were performing a simple check `if module_name in key` but that lead to some modules silently converted in fp32.
For example instructblip models got their `word_embedding` layers converted in fp32 because `_keep_in_fp32_modules` includes `"wo"` which is contained in the ... | {
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Removes some useless warnings and make sure protobuf is not used when not needed | {
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"@younesbelkada \r\n```\r\nFAILED tests/models/persimmon/test_modeling_persimmon.py::PersimmonModelTest::test_pipeline_text_generation - AssertionError: (<class 'RuntimeError'>, <class 'IndexError'>, <class 'ValueError'>, <class 'AssertionError'>) not raised\r\n```\r\nThis test at `tests/pipelines/test_pipelines_t... | 1,695 | 1,704 | 1,704 | NONE | null | # What does this PR do?
Adds Flash Attention 2 for Persimmon per #26350
## Before submitting
- [x] This PR fixes a typo - see [commit](https://github.com/huggingface/transformers/commit/90d81d0379b9c6e0bc6643f2cd458fa5c7490fa3)
- [x] Did you read the [contributor guideline](https://github.com/huggingface/trans... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26481). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
Another continue of https://github.com/huggingface/transformers/issues/18564
This PR adds PR and testing translation for the contribute chapter in docs
I will do another review on live docs, when its ready
pinging for docs
@stevhliu and @MKhalusova
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"Gentle ping @muellerzr @pacman100 "
] | 1,695 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Allow passing keywords argument for the Learning rate scheduler, can be useful for Cosine with Restart and Polynomial LR scheduler (and for potential future lr schedulers)
If necessary I can add some check for the parameters to make sure that the user gets a more sensible error message when... | {
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"All tests are all passing except the `test_flash_attn_2_generate_use_cache` tests(same as opt). \r\n\r\n\r\n<details>\r\n<summary>Error Traceback</summary>\r\n====================... | 1,695 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
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This PR addresses issues brought up in #26280.
It adds a note about text generation parameters to the `TextGenerationPipeline` and `Text2TextGenerationPipeline` docs to improve navigation and discoverability. Also adds a note on stopping criteria to the `generation_strategies.md` guide. ... | {
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] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
Fixes #26420 with three primary changes:
1. Renaming of `generator` -> `transcriber` in the pipeline tutorial
2. More descriptive error message when `ffmpeg_read` fails, in a move to guide the user towards fixing likely problems
3. Update docs for asr pipe inputs
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https://api.github.com/repos/huggingface/transformers/issues/26475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26475/comments | https://api.github.com/repos/huggingface/transformers/issues/26475/events | https://github.com/huggingface/transformers/issues/26475 | 1,917,817,259 | I_kwDOCUB6oc5yT5Gr | 26,475 | Loading a Gated Repo: Case-Sensitivity issue | {
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"I replicated this issue with `transformers==4.33.3`. But it does not occur in `transformers==4.30`.",
"Hey @ceferisbarov, are you sure this was working in v4.30.0? I can't reproduce, for me it always fails:\r\n\r\n```py\r\n>>> from transformers import __version__\r\n>>> __version__\r\n'4.30.0'\r\n>>> from transf... | 1,695 | 1,699 | 1,699 | NONE | null | ### System Info
In `transformers 4.33.3`, when accessing a gated repo with `AutoConfig`, one gets different responses based on case sensitivity when logged in. That is:
- it correctly finds the original repo being referenced and notices that it is a gated repo (case-insensitive)
- it does not correctly find the perm... | {
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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... | 1,695 | 1,705 | 1,699 | NONE | null | ### Feature request
Besides loss, users often need to report additional metrics throughout the training in order to drive decision making and communicate results, which in the case of Seq2Seq models is elegantly done with the `compute_metrics` argument of the `Trainer`. Generative metrics easily fit this framework by ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26473 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26473/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26473/comments | https://api.github.com/repos/huggingface/transformers/issues/26473/events | https://github.com/huggingface/transformers/pull/26473 | 1,917,798,449 | PR_kwDOCUB6oc5bdZpQ | 26,473 | Enrich TTS pipeline parameters naming | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Gentle ping here @ylacombe @sanchit-gandhi ?\r\nI'd like to promote more complex operations and the ability to play around with pipelines for TTA/S. Would be cool to be able to do it via `generate_kwargs` to showcase similarity acros... | 1,695 | 1,698 | 1,698 | COLLABORATOR | null | # What does this PR do?
#26369 highlighted that the use of `forward_params` in the TTS pipeline was not clear enough. This PR enrich a bit the docstrings to correct this oversight.
Note that following a discussion with @Vaibhavs10, @sanchit-gandhi and @Narsil in the same issue, I came to the conclusion that:
- a... | {
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https://api.github.com/repos/huggingface/transformers/issues/26472 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26472/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26472/comments | https://api.github.com/repos/huggingface/transformers/issues/26472/events | https://github.com/huggingface/transformers/pull/26472 | 1,917,795,803 | PR_kwDOCUB6oc5bdZDq | 26,472 | Revert falcon exception | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"We'll merge this once your PRs are merged @Rocketknight1 !"
] | 1,695 | 1,696 | 1,696 | MEMBER | null | Reverts the Falcon exceptions | {
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https://api.github.com/repos/huggingface/transformers/issues/26471 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26471/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26471/comments | https://api.github.com/repos/huggingface/transformers/issues/26471/events | https://github.com/huggingface/transformers/pull/26471 | 1,917,785,562 | PR_kwDOCUB6oc5bdW07 | 26,471 | Addition of `Flash Attention 2` to MPT | {
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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... | 1,695 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Addition of Flash Attention 2 to Mosaic Pretrained Transformers (MPT)
Fixes #26470
s:
<!-- text models: @ArthurZucker and @younesbelkada -->
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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... | 1,695 | 1,698 | 1,698 | CONTRIBUTOR | null | part of #26350 | {
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https://api.github.com/repos/huggingface/transformers/issues/26469 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26469/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26469/comments | https://api.github.com/repos/huggingface/transformers/issues/26469/events | https://github.com/huggingface/transformers/pull/26469 | 1,917,585,815 | PR_kwDOCUB6oc5bcrEe | 26,469 | Avoid all-zeor attnetion mask used in testing | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
The method `random_attention_mask` used in testing makes sure the last token is non-zero. However, this property will be changed if a causal mask is applied.
This causes some issues in CI, see issue reported
https://github.com/pytorch/pytorch/issues/110213
In general, a sequence wit... | {
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"This is already supported by `split_special_tokens` and is a duplicate of the issue in `tokenizers`. ",
"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 fo... | 1,695 | 1,699 | 1,699 | NONE | null | ### Feature request
Can we introduce escape special tokens functionality in Tokenizer and TokenizerFast to ignore special tokens (treat them as plain text)?
### Motivation
`tiktoken` has an allowed special token option. This enables the processing of arbitrary user input, which may accidentally include special token... | {
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https://api.github.com/repos/huggingface/transformers/issues/26467 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26467/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26467/comments | https://api.github.com/repos/huggingface/transformers/issues/26467/events | https://github.com/huggingface/transformers/issues/26467 | 1,917,457,602 | I_kwDOCUB6oc5yShTC | 26,467 | add protobuf as depdencency of transformers | {
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"`protobuf` should already be a dependency of `sentencepiece` which is a need for many models (with correct error thrown in case it's not installed!)\r\n\r\nThanks for sharing a reproducible code snippet, this should help a lot in identifying what might be going on here.",
"This PR should help reduce significantl... | 1,695 | 1,699 | 1,699 | NONE | null | ### Feature request
Perhaps protobuf should be added explicitly as a dependency of transformers?
### Motivation
Various `ImportError`s that got solved (and not just by me - by tens of upvoters) by simply importing `protobuf` (latest or pinned). Examples (please extend the list if necessary):
* https://github.com/h... | {
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https://api.github.com/repos/huggingface/transformers/issues/26466 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26466/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26466/comments | https://api.github.com/repos/huggingface/transformers/issues/26466/events | https://github.com/huggingface/transformers/pull/26466 | 1,917,281,806 | PR_kwDOCUB6oc5bbm3q | 26,466 | feat: add trainer label to wandb run upon initialization | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26466). All of your documentation changes will be reflected on that endpoint.",
"Thanks for your PR @parambharat!",
"Hi @LysandreJik , just checking in here. Can this be merged now ?",
"Hey @parambharat, I'd like either... | 1,695 | 1,704 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a telemetry label to the wandb run making it possible to identify W&B usage from the trainer class.
ref: https://github.com/huggingface/transformers/pull/25590
## Before submitting
- [X] Did you read the [contributor guideline](https://github.com/huggingface/transformers/bl... | {
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https://api.github.com/repos/huggingface/transformers/issues/26465 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26465/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26465/comments | https://api.github.com/repos/huggingface/transformers/issues/26465/events | https://github.com/huggingface/transformers/issues/26465 | 1,917,277,699 | I_kwDOCUB6oc5yR1YD | 26,465 | ImportError: cannot import name 'check_peft_version' from 'transformers.utils' (/usr/local/lib/python3.10/dist-packages/transformers/utils/__init__.py) | {
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"cc @younesbelkada @BenjaminBossan maybe",
"Hi @medhanshrath-t \r\nHmm I have just spined a Google Colab instance\r\n<img width=\"822\" alt=\"Screenshot 2023-09-28 at 15 49 01\" src=\"https://github.com/huggingface/transformers/assets/49240599/061271cb-fd1c-48c9-9863-a9a362d6ac6c\">\r\n\r\nAnd seems to work fine,... | 1,695 | 1,703 | 1,695 | NONE | null | ### System Info
'transformers==4.33.0', 'torch==2.0.1+cu118'
I am running it on Google Colab
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26464 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26464/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26464/comments | https://api.github.com/repos/huggingface/transformers/issues/26464/events | https://github.com/huggingface/transformers/pull/26464 | 1,917,254,458 | PR_kwDOCUB6oc5bbgpx | 26,464 | [`Mistral`] Add Flash Attention-2 support for `mistral` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Might be worth adding support for sliding window attention ? \r\nparams are window_size_left = config.sliding_window-1 // window_size_right = -1 I believe ? \r\nSee this PR adding support in flashattentionv2\r\nhttps://github.com/Dao... | 1,695 | 1,697 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
Adds Flash Attention 2 for Mistral For Causal - we still need to discuss how to integrate it with local attention
cc @ArthurZucker @LysandreJik
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"m... | {
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https://api.github.com/repos/huggingface/transformers/issues/26463 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26463/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26463/comments | https://api.github.com/repos/huggingface/transformers/issues/26463/events | https://github.com/huggingface/transformers/pull/26463 | 1,917,171,676 | PR_kwDOCUB6oc5bbOEy | 26,463 | [`Flash Attention 2`] Add flash attention 2 for GPT-Neo-X | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26463). All of your documentation changes will be reflected on that endpoint.",
"Any plans on completing this or should someone else pick it up? For what it's worth, this implementation is working very well for me π ",
"... | 1,695 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
Adds flash attention support for GPT-Neo-X
Fixes: https://github.com/huggingface/transformers/issues/26444
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https://api.github.com/repos/huggingface/transformers/issues/26462 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26462/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26462/comments | https://api.github.com/repos/huggingface/transformers/issues/26462/events | https://github.com/huggingface/transformers/issues/26462 | 1,917,106,220 | I_kwDOCUB6oc5yRLgs | 26,462 | Output of a model (e.g. logits for the first token) depends on input length | {
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"cc @ArthurZucker ",
"It seems this is a PyTorch/CUDA thing.\r\n```python\r\nimport torch\r\nfrom torch import nn\r\ntorch.manual_seed(0)\r\n\r\nlinear = nn.Linear(4, 4).to('cuda')\r\ndummy_input = torch.normal(mean=0, std=1, size=(2, 4)).to('cuda')\r\nfull = linear(dummy_input)[0]\r\nsingle = linear(dummy_input[... | 1,695 | 1,696 | 1,696 | NONE | null | ### System Info
- `transformers` version: 4.33.3
- Platform: Linux-5.19.0-45-generic-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/26461 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26461/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26461/comments | https://api.github.com/repos/huggingface/transformers/issues/26461/events | https://github.com/huggingface/transformers/issues/26461 | 1,917,074,710 | I_kwDOCUB6oc5yRD0W | 26,461 | Tutorial running failed | {
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"@NielsRogge or @kashif, can you take please a look? The tutorial mentioned is a blog post you have authored. ",
"ok thanks @moghadas76 for the report... would you have some more details on how it happens... from the error message it seems the model and its config are expecting more covariates than you are provid... | 1,695 | 1,699 | 1,699 | NONE | null | ### System Info
2023-09-28 09:20:05.774209: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
WARNING:tensorflow:From /usr/local/lib/python3.10/dist-packages/transformers/commands/env.py:100: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26460 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26460/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26460/comments | https://api.github.com/repos/huggingface/transformers/issues/26460/events | https://github.com/huggingface/transformers/issues/26460 | 1,916,986,090 | I_kwDOCUB6oc5yQuLq | 26,460 | request of num_proc for all files in load_dataset | {
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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... | 1,695 | 1,699 | 1,699 | CONTRIBUTOR | null | ### Feature request
adding num_proc for all files in load_dataset, and also download_config add datasets.DownloadConfig('num_proc=...')
### Motivation
With the ever-increasing volume of data in today's world, the process of downloading and extracting data has become excessively time-consuming. It is imperative to op... | {
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https://api.github.com/repos/huggingface/transformers/issues/26459 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26459/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26459/comments | https://api.github.com/repos/huggingface/transformers/issues/26459/events | https://github.com/huggingface/transformers/issues/26459 | 1,916,971,551 | I_kwDOCUB6oc5yQqof | 26,459 | i am facing with issues to convert llama-2-13b into vicuna i got all the time the following #21366 ) "Fetching all parameters from the checkpoint at /content/drive/MyDrive/anomalyGPT/llama/llama-2-13b/13B".a | {
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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... | 1,695 | 1,699 | 1,699 | NONE | null |
<img width="289" alt="Screenshot 2023-09-28 at 15 05 05" src="https://user-images.githubusercontent.com/110445849/271219265-cb005255-3218-4727-996e-a480853f7357.png">
i am facing with issues to convert llama-2-13b into vicuna i got all the time the following #21366 ) "Fetching all parameters from the... | {
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https://api.github.com/repos/huggingface/transformers/issues/26458 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26458/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26458/comments | https://api.github.com/repos/huggingface/transformers/issues/26458/events | https://github.com/huggingface/transformers/issues/26458 | 1,916,960,761 | I_kwDOCUB6oc5yQn_5 | 26,458 | support for MistralForCausalLM | {
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"Hey @NarenZen, `Mistral` is on the `main` branch and not in a stable release until early next week.\r\n\r\nWould you mind installing `transformers` from source until then? You can do so with:\r\n```\r\npip install git+https://github.com/huggingface/transformers\r\n```\r\n\r\nPlease let me know if you run into any ... | 1,695 | 1,699 | 1,699 | NONE | null | ### Feature request
Mistral AI claims its supports VLLM.
`python -u -m vllm.entrypoints.openai.api_server --host 0.0.0.0 --model mistralai/Mistral-7B-v0.1`
But getting error:
`ValueError: Model architectures ['MistralForCausalLM'] are not supported for now. Supported architectures: ['AquilaModel', 'BaiChuanFor... | {
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https://api.github.com/repos/huggingface/transformers/issues/26457 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26457/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26457/comments | https://api.github.com/repos/huggingface/transformers/issues/26457/events | https://github.com/huggingface/transformers/pull/26457 | 1,916,931,912 | PR_kwDOCUB6oc5baZw7 | 26,457 | Add num proc load | {
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"This repo is not maintain anymore, but I think it still should be do some trick for time efficient",
"Hey @pphuc25 - I think your original comment highlights that adding this feature is exactly the kind of user customisation that these scripts are intended for. They're not necessarily the most performant scripts... | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | Hi
I find the subject of audio quite intriguing when considering its future potential. It deserves greater attention and contributions. Currently, I am utilizing this code for my primary project rather than mere testing. I am interested in incorporating the "num_proc" feature to enhance the loading of datasets, especi... | {
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https://api.github.com/repos/huggingface/transformers/issues/26456 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26456/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26456/comments | https://api.github.com/repos/huggingface/transformers/issues/26456/events | https://github.com/huggingface/transformers/issues/26456 | 1,916,877,178 | I_kwDOCUB6oc5yQTl6 | 26,456 | the newest version of protobuf dont support the cmd of "google.protobuf.__version__" as in /transformers/convert_slow_tokenizer.py", line 36 | {
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"Indeed, the check doesn't seem to work with recent protobuf versions cc @ArthurZucker @Rocketknight1 ",
"Taking this one!",
"Hi @Jeryi-Sun I can't reproduce this with the latest version of `protobuf` on `pip`. This code works fine for me:\r\n\r\n```python\r\n>>> from google import protobuf\r\n>>> protobuf.__ve... | 1,695 | 1,696 | 1,696 | NONE | null | ### System Info
Traceback (most recent call last):
File "/home/zhongxiang_sun/code/CHLLM/LLaMA-Efficient-Tuning-main/src/train_bash.py", line 14, in <module>
main()
File "/home/zhongxiang_sun/code/CHLLM/LLaMA-Efficient-Tuning-main/src/train_bash.py", line 5, in main
run_exp()
File "/home/zhongxiang_... | {
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https://api.github.com/repos/huggingface/transformers/issues/26455 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26455/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26455/comments | https://api.github.com/repos/huggingface/transformers/issues/26455/events | https://github.com/huggingface/transformers/issues/26455 | 1,916,564,331 | I_kwDOCUB6oc5yPHNr | 26,455 | Inconsistency between fast and slow codellama tokenizers | {
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"Hey! This was already reported and is a duplicate of #25881 and related to #26318 as well. Will be fixed in tokenizers soon! ",
"The PR is looking good, had a few delays but was able to reproduce 1-1 with fast but also with sentencepiece actual token addition. "
] | 1,695 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.15.0-82-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/26454 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26454/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26454/comments | https://api.github.com/repos/huggingface/transformers/issues/26454/events | https://github.com/huggingface/transformers/pull/26454 | 1,916,459,443 | PR_kwDOCUB6oc5bY0OM | 26,454 | Esm checkpointing | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26454). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Title: Resolve In-Place Operation Error in ESM Embeddings
Description:
This pull request addresses a critical issue concerning in-place operations within the ESM embeddings module which was causing a `RuntimeError` during the backward pass when training with certain configurations. The ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26453 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26453/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26453/comments | https://api.github.com/repos/huggingface/transformers/issues/26453/events | https://github.com/huggingface/transformers/pull/26453 | 1,916,326,278 | PR_kwDOCUB6oc5bYWnR | 26,453 | Support loading pre-trained LayoutLM models with device_map argument | {
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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... | 1,695 | 1,699 | 1,699 | NONE | null | # What does this PR do?
Loading pre-trained LayoutLMv2 & LayoutLMv3 models with, say `LayoutLMv3Model.from_pretrained(..., device_map="auto")`, currently fails with error message: `ValueError: LayoutLMv3ForTokenClassification does not support `device_map='auto'`. To implement support, the modelclass needs to impleme... | {
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https://api.github.com/repos/huggingface/transformers/issues/26452 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26452/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26452/comments | https://api.github.com/repos/huggingface/transformers/issues/26452/events | https://github.com/huggingface/transformers/issues/26452 | 1,916,204,668 | I_kwDOCUB6oc5yNvZ8 | 26,452 | length of tokenizer changes when using main branch causing batch_decode to fail | {
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"Hey! Thanks for explaining in details. \r\nThis is indeed a problem with the `len` that does not include the offset! \r\nWill push a fix in #26322"
] | 1,695 | 1,696 | 1,696 | NONE | null | ### System Info
- `transformers` version: 4.34.0.dev0
- Platform: macOS-13.5.1-arm64-arm-64bit
- Python version: 3.9.1
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.20.3
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0.dev20230822 (False)
- Tensorflow ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/26451 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26451/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26451/comments | https://api.github.com/repos/huggingface/transformers/issues/26451/events | https://github.com/huggingface/transformers/issues/26451 | 1,916,006,008 | I_kwDOCUB6oc5yM-54 | 26,451 | The hidden states in LlamaFlashAttention2 are cast in fp16 unexpectedly | {
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"Indeed we should not always cast if the dtype is float32\r\n\r\nFYI @younesbelkada ",
"Thanks @hiyouga this makes sense\r\n\r\n> Indeed we should not always cast if the dtype is float32\r\n\r\nFlash Attention supports only fp16 / bf16 as input dtype so we should always cast to half precision if the input gets si... | 1,695 | 1,697 | 1,697 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.33.1
- Platform: Linux-5.4.0-147-generic-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.17.1
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/26450 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26450/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26450/comments | https://api.github.com/repos/huggingface/transformers/issues/26450/events | https://github.com/huggingface/transformers/pull/26450 | 1,915,949,284 | PR_kwDOCUB6oc5bXEwp | 26,450 | Fix failing doctest | {
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"It's the same failure as other LLaMa-like models:\r\n\r\n```\r\nNameError: name 'PATH_TO_CONVERTED_WEIGHTS' is not defined\r\n/home/circleci/transformers/src/transformers/models/mistral/modeling_mistral.py:806: UnexpectedException\r\n\r\n\r\nFAILED src/transformers/models/mistral/modeling_mistral.py::transformers.... | 1,695 | 1,695 | 1,695 | MEMBER | null | Fixes a failing doctest by putting the file in the `not_doctested.txt` file for now. | {
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<!--
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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/26448 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26448/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26448/comments | https://api.github.com/repos/huggingface/transformers/issues/26448/events | https://github.com/huggingface/transformers/pull/26448 | 1,915,800,730 | PR_kwDOCUB6oc5bWkMx | 26,448 | Fix `cos_sin` device issue in Falcon model | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
We should update the device accordingly. See the comments along the changes.
So far, running the model on GPU, then change model to CPU and running CPU inputs, the cached tensors (like `cos_cached`) will be on GPU and fail to run with CPU tensors. | {
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"Failing test is expected, you can add the `configuration_mistral` file to the `not_doctested.txt` file. \r\nThe error: \r\n```python \r\nfailed on setup with \"worker 'gw0' crashed while running 'src/transformers/models/mistral/configuration_mistral.py::transformers.models.mistral.configuration_mistral.MistralConf... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
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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_26445). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | testing https://github.com/huggingface/doc-builder/pull/418
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"cc @younesbelkada "
] | 1,695 | 1,701 | 1,701 | NONE | null | I want to use flush attention with Neox.
When I utilize it? | {
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https://api.github.com/repos/huggingface/transformers/issues/26443 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26443/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26443/comments | https://api.github.com/repos/huggingface/transformers/issues/26443/events | https://github.com/huggingface/transformers/issues/26443 | 1,915,581,718 | I_kwDOCUB6oc5yLXUW | 26,443 | "tiiuae/falcon-7b" ValueError: The current architecture does not support Flash Attention 2.0. Please open an issue on GitHub to request support for this architecture: https://github.com/huggingface/transformers/issues/new | {
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"cc @younesbelkada :)",
"Hey @nirdoshrawal009 it seems you're using the remote code for Falcon, which indeed doesn't have FlashAttention supported through the library (but it seems to be supported by default).\r\n\r\nCould you try using the Falcon implementation in `transformers` instead, by removing the `trust_r... | 1,695 | 1,699 | 1,699 | NONE | null | ### System Info
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[8], line 11
1 bnb_config = BitsAndBytesConfig(
2 load_in_4bit=True,
3 bnb_4bit_use_double_quant=True,
4 bnb... | {
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https://api.github.com/repos/huggingface/transformers/issues/26442 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26442/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26442/comments | https://api.github.com/repos/huggingface/transformers/issues/26442/events | https://github.com/huggingface/transformers/issues/26442 | 1,915,569,885 | I_kwDOCUB6oc5yLUbd | 26,442 | 'tiiuae/falcon-7b' is not supported using flash attention 2 | {
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"cc @younesbelkada :)",
"I believe this is actually a duplicate of https://github.com/huggingface/transformers/issues/26443, closing in favor of this one",
"Hi @nirdoshrawal009 \r\nPlease take a look at my comment here: https://github.com/huggingface/transformers/issues/26443#issuecomment-1738789689\r\nFor mor... | 1,695 | 1,695 | 1,695 | NONE | null | ValueError: The current architecture does not support Flash Attention 2.0. Please open an issue on GitHub to request support for this architecture: https://github.com/huggingface/transformers/issues/new | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26441). All of your documentation changes will be reflected on that endpoint.",
"I would like to argue for setting the initialization of both input and output embedding layers to `normal(0, 0.05)` as discussed in this comme... | 1,695 | 1,706 | null | NONE | null | # What does this PR do?
before this PR: lm_head weights were initialized with variance of 1, and it output activations with variance ~= hidden_dim. this is a very high variance for logits, and resulted in ini... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26440). 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... | 1,695 | 1,699 | 1,699 | MEMBER | null | null | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | testing https://github.com/huggingface/doc-builder/pull/417 | {
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https://api.github.com/repos/huggingface/transformers/issues/26438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26438/comments | https://api.github.com/repos/huggingface/transformers/issues/26438/events | https://github.com/huggingface/transformers/pull/26438 | 1,915,396,605 | PR_kwDOCUB6oc5bVKpB | 26,438 | Don't override manual -100 labels with DataCollatorForLanguageModeling | {
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"Hey! feel free to ping me once this is ready for a review! ",
"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:/... | 1,695 | 1,701 | 1,701 | NONE | null | # What does this PR do?
The goal of this PR is to prevent the overwriting of all the labels including -100s by input_ids in the process of collating the batches with Transformers's DataCollatorForLanguageModeling.
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, yo... | {
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https://api.github.com/repos/huggingface/transformers/issues/26437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26437/comments | https://api.github.com/repos/huggingface/transformers/issues/26437/events | https://github.com/huggingface/transformers/pull/26437 | 1,915,389,724 | PR_kwDOCUB6oc5bVJFM | 26,437 | add exllamav2 arg | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> What about changing disable_exllamav2 to disable_exllama_v2 ?\r\n\r\nI've named it that way in auto-gptq, so let's keep `disable_exllamav2`\r\n\r\n> Can you also add few lines in the documentation adding some expected speedups and ... | 1,695 | 1,698 | 1,698 | MEMBER | null | # What does this PR do ?
This PR adds the possibility to choose exllamav2 kernels for GPTQ model. This PR follows the [integration](https://github.com/PanQiWei/AutoGPTQ/pull/349 ) of the kernels in auto-gptq and the [integration]((https://github.com/huggingface/optimum/pull/1419)) in optimum.
- [x] Merge after the... | {
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https://api.github.com/repos/huggingface/transformers/issues/26436 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26436/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26436/comments | https://api.github.com/repos/huggingface/transformers/issues/26436/events | https://github.com/huggingface/transformers/issues/26436 | 1,915,343,328 | I_kwDOCUB6oc5yKdHg | 26,436 | Inject the optimum.bettertransformer to trainer to accelerate training | {
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"cc @younesbelkada @fxmarty ",
"Hi @DongHande \r\nFor now we leave it to users responsibility to first convert the model into `BetterTransformer` format and pass it to Trainer. Please have a look at this section of TRL documentation: https://huggingface.co/docs/trl/main/en/sft_trainer#using-flash-attention-and-fl... | 1,695 | 1,696 | 1,696 | NONE | null | ### Feature request
Inject the optimum (https://huggingface.co/docs/optimum/main/en/bettertransformer/tutorials/convert#training-compatibility) to the trainer API (https://github.com/huggingface/transformers/blob/main/src/transformers/trainer.py).
### Motivation
The flash attention can accelerate the training speed... | {
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https://api.github.com/repos/huggingface/transformers/issues/26435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26435/comments | https://api.github.com/repos/huggingface/transformers/issues/26435/events | https://github.com/huggingface/transformers/pull/26435 | 1,915,181,939 | PR_kwDOCUB6oc5bUdet | 26,435 | Update `runs-on` in workflow files | {
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"Also is there a difference between the `past-ci` and `daily-ci`? Or is it just that you'd like to have runners dedicated to these tasks?",
"> Also is there a difference between the `past-ci` and `daily-ci`? Or is it just that you'd like to have runners dedicated to these tasks?\r\n\r\nIt's a typo for `push-ci` n... | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
I also updated the labels on runners to have `t4` and `daily-ci`, `push-ci` etc. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | testing https://github.com/huggingface/doc-builder/pull/414
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26433). All of your documentation changes will be reflected on that endpoint.",
"This still looks great, what is missing to merge it @ydshieh ?",
"nothing, just didn't get an approval from core maintainers. Will ping one.... | 1,695 | 1,701 | 1,701 | COLLABORATOR | null | # What does this PR do?
Fix #25910
Currently, for `InstructBlip` which can combine/use different architecture as component, we have the following block
https://github.com/huggingface/transformers/blob/abd253103478b21faafb7c9a6e7a1a7d1effe757/src/transformers/models/instructblip/modeling_instructblip.py#L1280-L... | {
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"Hey @TJKlein, interesting problem!\r\n\r\nUnfortunately, I cannot reproduce. I followed your same setup, moved the module `test.py` within a folder `scripts` and launched it with `python -m scripts.test.py` and obtained the following result:\r\n\r\n```py\r\n(.env) (base) lysandre@x:~/scratch$ python -m scripts.tes... | 1,695 | 1,699 | 1,699 | NONE | null | ### System Info
* Python 3.10
* Transformer 4.32.0.dev0
* Transformer 4.34.0.dev0
* huggingface-hub-0.18.0.dev0
* huggingface-hub-0.16.4
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported tas... | {
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https://api.github.com/repos/huggingface/transformers/issues/26431 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26431/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26431/comments | https://api.github.com/repos/huggingface/transformers/issues/26431/events | https://github.com/huggingface/transformers/pull/26431 | 1,915,010,991 | PR_kwDOCUB6oc5bT7Ji | 26,431 | [`core`/ `auto` ] Fix bnb test with code revision + bug with code revision | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Makes sense thanks ! I was not aware about the difference between code_revision and revision, updated the test accordingly and the test passes now"
] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
Fixes a bug that was catched by the bnb test that is currently failing on the main branch
Link to failing job: https://github.com/huggingface/transformers/actions/runs/6307307607/job/17123869223
(the bug is very niche)
When loading a trust remote code model from a config loaded with... | {
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