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https://api.github.com/repos/huggingface/transformers/issues/28155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28155/comments | https://api.github.com/repos/huggingface/transformers/issues/28155/events | https://github.com/huggingface/transformers/issues/28155 | 2,049,695,852 | I_kwDOCUB6oc56K-Bs | 28,155 | What is the minimum video card with large memory required to run the mixtral-8x7b model | {
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"Hi @zysNLP, thanks for raising an issue! \r\n\r\nThis is a question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think thi... | 1,703 | 1,706 | 1,706 | NONE | null | I mean the model that just came out：mistralai/Mixtral-8x7B-Instruct-v0.1，looks like a lot of parameter files，what is the minimum nvidia graphics card video memory required? | {
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"cc @sanchit-gandhi @ylacombe ",
"Hey @ruisilvestre, sorry for the long delay, I unfortunately don't have a Mac to try this on.\r\nCould you open a PR and we'll discuss this with @sanchit-gandhi ?\r\n\r\nAlso cc @Narsil as you might have better experience with ffmpeg !"
] | 1,703 | 1,708 | null | NONE | null | While going through the HF tutorials for STT [here](https://huggingface.co/learn/audio-course/chapter7/voice-assistant), I found some unexpected behaviour with the ffmpeg_microphone_live function on my Mac. I also just found someone that might be having the same issue [here](https://github.com/huggingface/transformers/... | {
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"/assign",
"Hi @Tengoles, thanks for raising this issue! \r\n\r\nIndeed, there's an issue with the transformations that are happening in deformable detr and other detr models if `do_pad=True` as the box coordinates aren't rescaled to account for the new image height / width cc @NielsRogge. \r\n\r\nI'll open a PR ... | 1,703 | 1,707 | 1,707 | NONE | null | ### System Info
@amyeroberts
Maybe I'm missing something but it seems like the annotations are not being transformed accordingly after applying pad to a batch of images:
https://github.com/huggingface/transformers/blob/v4.36.1/src/transformers/models/deformable_detr/image_processing_deformable_detr.py#L1330
Is... | {
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https://api.github.com/repos/huggingface/transformers/issues/28152 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28152/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28152/comments | https://api.github.com/repos/huggingface/transformers/issues/28152/events | https://github.com/huggingface/transformers/pull/28152 | 2,049,484,831 | PR_kwDOCUB6oc5iahED | 28,152 | remove cpu dockerfiles to fix #28148 | {
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"Thank you @evelynmitchell for this PR.\r\n\r\nHowever, the issue author @ashahba had opened a PR #28148 earlier .",
"Thanks!"
] | 1,703 | 1,703 | 1,703 | NONE | null | # What does this PR do?
Removes unneeded cpu Dockerfiles.
Fixes ##28148
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIB... | {
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"Feel free to ping me for a review whenever this is ready 🤗 ",
"> Feel free to ping me for a review whenever this is ready 🤗\r\n\r\n@ArthurZucker , I only identified 3 applicable model classes and made changes. Please check my logic in classes selection in my big first message above.",
"This issue has been au... | 1,703 | 1,707 | null | CONTRIBUTOR | null | following https://github.com/huggingface/transformers/pull/27539 this PR adds updates to transformers documentation to reflect possibility of utilizing 4D masks.
Plan:
- add updates for Llama model docstring(s)
- identify other models that can use 4D masks in present form (which requires ability to accept custom `... | {
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"Hey 🤗 thanks for opening an issue! We try to keep the github issues for bugs/feature requests. As this is more related to the way the model is trained / the dataset it is using, could you ask your question on the [forum](https://discuss.huggingface.co/) instead? I'm sure the community will be of help!\r\n\r\nTha... | 1,703 | 1,703 | 1,703 | NONE | null | ### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Linux-5.4.0-132-generic-x86_64-with-glibc2.31
- Python version: 3.11.3
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.3.3
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- T... | {
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Originally a PR was submitted here: https://github.com/huggingface/transformers/pull/28084 but per @ydshieh 's assessment, those Dockerfiles are no longer being maintained and should be removed.
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_Originally posted by @ydshieh in https://github.com/huggingface/transformers/issues/28084#issuecomment-1862419041_
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"cc @gante ",
"You seem to be generating 10 times 10 tokens with the for generate loop. The forward loop probably computes gradients as you did not wrap it up, and finally, you are doing multinomial sampling which is slower than greedy argmax used by default if you generate and the genration_config does not have ... | 1,703 | 1,705 | 1,705 | NONE | null | ### System Info
I am trying to construct a library for constrained generation. The goal hopfully is to skip generating text if there is only one possible next token.
The problem I am having is the logits function is way too slow to allow constrained generation to be of any use. Is there a way to speed up logits?
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28146). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"This should be ready to go now, and finally fixes the remaining CI issues after th... | 1,703 | 1,703 | 1,703 | MEMBER | null | This PR hopefully fixes the last remaining issues from the `build()` PR and gets the CI back to normal! | {
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"Test is passing! \r\n\r\nI rebased to incorporate the changes from #28135, but that didn't work for some reason, so I manually edited `tests/utils/test_doc_samples.py` to reflect the latest changes. Is this still ok since the change already exists on `main`?",
"@stevhliu Yep - it should be fine! "
] | 1,703 | 1,703 | 1,703 | MEMBER | null | Part 2 of #27986 to finish cleaning up the `Trainer` API docs. This includes:
- moving the CUDA extension installation problems to the performance and scalability debugging [doc](https://huggingface.co/docs/transformers/main/en/debugging) where it is more appropriate
- GPU selection has its own section in the multi... | {
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https://api.github.com/repos/huggingface/transformers/issues/28144 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28144/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28144/comments | https://api.github.com/repos/huggingface/transformers/issues/28144/events | https://github.com/huggingface/transformers/pull/28144 | 2,049,149,365 | PR_kwDOCUB6oc5iZXQ_ | 28,144 | Fix ONNX export for causal LM sequence classifiers by removing reverse indexing | {
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"Thanks @ArthurZucker @amyeroberts. I've unified the Bloom/Falcon/MPT implementations, but doing so triggered what looks to be an unrelated CI failure. Can someone take a look and fix/disable that test if it is indeed unrelated?\r\n\r\n```\r\nFAILED tests/models/seamless_m4t/test_modeling_seamless_m4t.py::SeamlessM... | 1,703 | 1,707 | 1,703 | CONTRIBUTOR | null | # What does this PR do?
Follow-up to https://github.com/huggingface/transformers/pull/27450 and another step to fixing https://github.com/huggingface/optimum/issues/1527. ONNX implements indexing using a combination of its own operators and when using reverse indexing (e.g., -1 to indicate 1 element from the right s... | {
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https://api.github.com/repos/huggingface/transformers/issues/28143 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28143/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28143/comments | https://api.github.com/repos/huggingface/transformers/issues/28143/events | https://github.com/huggingface/transformers/pull/28143 | 2,049,060,725 | PR_kwDOCUB6oc5iZDjp | 28,143 | [docs] Fix mistral link in mixtral.md | {
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"Happy to help 🤗"
] | 1,703 | 1,703 | 1,703 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/28142 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28142/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28142/comments | https://api.github.com/repos/huggingface/transformers/issues/28142/events | https://github.com/huggingface/transformers/pull/28142 | 2,049,058,176 | PR_kwDOCUB6oc5iZC_e | 28,142 | Fix FA2 integration | {
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"> this could be added to the Llama.md as a tip ? (nit)\r\n\r\nDone.",
"So FSDP is saved?",
"I think so, from the experiment @pacman100 shared with me you could load a transformers model with FA-2 and train it with autocast (`fp16=True`) and the model was converging nicely",
"Hello @teknium1, to re-confirm, I... | 1,703 | 1,703 | 1,703 | CONTRIBUTOR | null | # What does this PR do?
1. Fix FA2 integration.
Issues with the current FA2 integration.
1. It makes providing `torch_dtype` to the `from_pretrained` class method mandatory. This leads to the whole model being loaded in half-precision which leads to unstable training because it would result in pure half precision ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28141 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28141/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28141/comments | https://api.github.com/repos/huggingface/transformers/issues/28141/events | https://github.com/huggingface/transformers/pull/28141 | 2,049,005,796 | PR_kwDOCUB6oc5iY3WB | 28,141 | Update VITS modeling to enable ONNX export | {
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"> For futur reference best practice is this only when it power of 2 ? does pow(x,2) work better (but is slower I think)\r\n\r\nIn all cases it'll be [casted to fp32](https://github.com/pytorch/pytorch/blob/v2.1.2/torch/onnx/symbolic_opset9.py#L3386) (no matter the exponent), using a [multiplication](https://github... | 1,703 | 1,704 | 1,704 | COLLABORATOR | null | This PR enables the ONNX export of VITS models in Optimum (https://github.com/huggingface/optimum/pull/1607), currently the export is failing due to [a cast operator added before the pow operator](https://github.com/pytorch/pytorch/blob/v2.1.2/torch/onnx/symbolic_opset9.py#L3382) in the model graph, resulting in an iss... | {
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https://api.github.com/repos/huggingface/transformers/issues/28140 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28140/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28140/comments | https://api.github.com/repos/huggingface/transformers/issues/28140/events | https://github.com/huggingface/transformers/issues/28140 | 2,048,820,728 | I_kwDOCUB6oc56HoX4 | 28,140 | GPU or MPS error when running run_clm.py | {
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"Hi @oscar-defelice, thanks for raising an issue! \r\n\r\nWhen you say that you've tried varying the batch size, what values have you tested with. Are you able to run with a batch size of 1 e.g.:\r\n\r\n```\r\npython run_clm.py \\\r\n--model_name_or_path nferruz/ProtGPT2 \\\r\n--train_file data/fine_tune_data.txt \... | 1,702 | 1,706 | 1,706 | CONTRIBUTOR | null | ### System Info
## System Info
```bash
- `transformers` version: 4.37.0.dev0
- Platform: macOS-14.2-arm64-arm-64bit
- Python version: 3.11.7
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/28139 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28139/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28139/comments | https://api.github.com/repos/huggingface/transformers/issues/28139/events | https://github.com/huggingface/transformers/issues/28139 | 2,048,708,752 | I_kwDOCUB6oc56HNCQ | 28,139 | `from_pretrained` is extremely slow when deepspeed zero3 is enabled | {
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"cc @pacman100 ",
"I did some research, and found that all the ranks except rank0 tried to load model weight tensors to `meta device`. It looks like this behavior is extremely slow. \r\nhttps://github.com/huggingface/transformers/blob/bffac926ca6bc6c965a92bfbfd00c567a2c0fb90/src/transformers/modeling_utils.py#L4... | 1,702 | 1,707 | 1,707 | NONE | null | ### System Info
pytorch: 2.0.1+cu118
transformers: 4.33.3
deepspeed: 0.12.5
### Who can help?
@ArthurZucker @younesbelkada @pac
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X]... | {
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https://api.github.com/repos/huggingface/transformers/issues/28138 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28138/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28138/comments | https://api.github.com/repos/huggingface/transformers/issues/28138/events | https://github.com/huggingface/transformers/pull/28138 | 2,048,585,744 | PR_kwDOCUB6oc5iXa1F | 28,138 | HF_ENDPOINT value affected in hub.py cached_file | {
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"@fenglui What is this PR supposed to fix? Can you show a snippet of code that doesn't work as expected? I'm asking before `hf_hub_download` is already supposed to read the `HF_ENDPOINT` environment variable (see [here](https://github.com/huggingface/huggingface_hub/blob/84d1b31901088e8261131f68323c0bee6b2e2f58/src... | 1,702 | 1,703 | 1,703 | NONE | null | # What does this PR do?
use os.environ.get("HF_ENDPOINT", HUGGINGFACE_CO_RESOLVE_ENDPOINT) value as endpoint param, so HF_ENDPOINT value will affected when download files using cached_file method
Fixes # (issue)
## Before submitting
- [ ] os.environ["HF_ENDPOINT"]="https://hf-mirror.com" may not affected
... | {
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https://api.github.com/repos/huggingface/transformers/issues/28137 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28137/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28137/comments | https://api.github.com/repos/huggingface/transformers/issues/28137/events | https://github.com/huggingface/transformers/issues/28137 | 2,048,495,611 | I_kwDOCUB6oc56GY_7 | 28,137 | Fail to upload models to hub | {
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"Hi @minghao-wu, thanks for raising this issue! \r\n\r\nIs this issue transient or have you seen in multiple times? \r\n\r\ncc @Wauplin the hub master 👑 ",
"Hi @amyeroberts, thanks for your reply.\r\n\r\nit's transient. The provided snippet was working smoothly until a few days ago. This is my first time to see ... | 1,702 | 1,703 | 1,703 | NONE | null | ### System Info
- `transformers` version: 4.34.1
- Platform: Linux-4.18.0-513.9.1.el8_9.x86_64-x86_64-with-glibc2.28
- Python version: 3.11.5
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.4.0
- Accelerate version: 0.24.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (False... | {
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https://api.github.com/repos/huggingface/transformers/issues/28136 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28136/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28136/comments | https://api.github.com/repos/huggingface/transformers/issues/28136/events | https://github.com/huggingface/transformers/pull/28136 | 2,048,467,063 | PR_kwDOCUB6oc5iXAnM | 28,136 | [Whisper] Make tokenizer normalization public | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28136). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
Using the Whisper English normalizer is common practice when evaluating Whisper models on English ASR. Here, we have to normalize the predictions, e.g. using the argument `normalize=True` to the tokenizer `.decode` method:
https://github.com/huggingface/transformers/blob/5aec50ecaf9c1c039cde... | {
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https://api.github.com/repos/huggingface/transformers/issues/28135 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28135/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28135/comments | https://api.github.com/repos/huggingface/transformers/issues/28135/events | https://github.com/huggingface/transformers/pull/28135 | 2,048,452,546 | PR_kwDOCUB6oc5iW9XH | 28,135 | Update split string in doctest to reflect #28087 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28135). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
Resolves current failing test `tests/utils/test_doc_samples.py::TestDocLists::test_sdpa_support_list` on main because the string used to split the doc string wasn't updated in line with #28087
cc @stevhliu | {
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"Hi @DolevAdas, thanks for raising an issue! \r\n\r\nThis is a question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.\r\n\r\nFor the difference between 5 and 15 epochs, you will see that the learning rate at each step is diffe... | 1,702 | 1,706 | 1,706 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-4.18.0-477.15.1.el8_8.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (Fal... | {
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https://api.github.com/repos/huggingface/transformers/issues/28133 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28133/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28133/comments | https://api.github.com/repos/huggingface/transformers/issues/28133/events | https://github.com/huggingface/transformers/pull/28133 | 2,048,116,832 | PR_kwDOCUB6oc5iVz5g | 28,133 | [`Mixtral` & `Mistral`] Add support for sdpa | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28133). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"> Thanks ! I don\"t see why sliding window attention shouldn't be supported with S... | 1,702 | 1,707 | 1,703 | COLLABORATOR | null | # What does this PR do?
Adds the SDPA attention for both classes cc @younesbelkada for visibility 😉 Will help for fast LLava | {
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https://api.github.com/repos/huggingface/transformers/issues/28132 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28132/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28132/comments | https://api.github.com/repos/huggingface/transformers/issues/28132/events | https://github.com/huggingface/transformers/pull/28132 | 2,048,108,896 | PR_kwDOCUB6oc5iVyNU | 28,132 | [`Refactor Attention mask handling`] Moves attention mask processing to the Attention class | {
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"We added support for 4d attention mask inside the converter so should be alright but yeah will check related issues! ",
"Can you specify how this helps with the static cache?\r\n\r\nThe static cache should also work with the attention_mask being passed at every forward call (it'll always have the same shape). I ... | 1,702 | 1,707 | 1,707 | COLLABORATOR | null | # What does this PR do?
This is more aligned with our philosophy, but also simplifies and will simplify things.
Will help a lot with the static cache.
The only way to share the mask is to call `LlamaAttention` but if you have a better way I'll update it!
This makes the attention class self contained, which is al... | {
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https://api.github.com/repos/huggingface/transformers/issues/28131 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28131/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28131/comments | https://api.github.com/repos/huggingface/transformers/issues/28131/events | https://github.com/huggingface/transformers/pull/28131 | 2,048,089,805 | PR_kwDOCUB6oc5iVuEK | 28,131 | [`Sdpa / Flash`] save the attention not a bool | {
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"Actually #28132 will remove it entirely"
] | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
Just a small cleanup that shall be proagated | {
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https://api.github.com/repos/huggingface/transformers/issues/28130 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28130/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28130/comments | https://api.github.com/repos/huggingface/transformers/issues/28130/events | https://github.com/huggingface/transformers/issues/28130 | 2,047,968,862 | I_kwDOCUB6oc56EYZe | 28,130 | Mistral flash attention 2 is not work, training speed is equal to the original way which not use flash attn | {
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"Hi @FangxuLiu \r\nHmm this is strange, FA-2 should lead to some speedup https://huggingface.co/docs/transformers/model_doc/mistral#expected-speedups\r\nCan you try on a larger bs / seq_len ? also what is the hardware you are using ? Are you sure you don't train with padding tokens? \r\nIf you use TRL library you c... | 1,702 | 1,708 | null | NONE | null | ### System Info
transformers==4.36.2
torch==2.0
model = transformers.AutoModelForCausalLM.from_pretrained(script_args.model_path, trust_remote_code=True, use_cache=False, attn_implementation="flash_attention_2", torch_dtype="auto")
I am pretraining Mistral model with deepspeed zero2, when I used flash attention... | {
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Add support for LayerDrop in Transformers.
### Motivation
LayerDrop allows for faster training, regularization, and superior pruning after training.
### Your contribution
This is a feature I will work on implementing. | {
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"> Hello, please give a minimal reproducer of the issue first that this PR is meant to resolve.\r\n\r\nSorry but I encountered a bug related to these lines of codes in my company project. Since the code is proprietary, I cannot share it. Despite hoping to build a minimal example, I cannot find a simple way to achie... | 1,702 | 1,706 | 1,706 | NONE | null | # What does this PR do?
This PR fixes the error encountered during model training with DeepSpeed Zero-3.
@pacman100 | {
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https://api.github.com/repos/huggingface/transformers/issues/28126 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28126/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28126/comments | https://api.github.com/repos/huggingface/transformers/issues/28126/events | https://github.com/huggingface/transformers/pull/28126 | 2,047,716,623 | PR_kwDOCUB6oc5iUgXB | 28,126 | [gpt-neox] Add attention_bias config to support model trained without attention biases | {
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"cc @ArthurZucker @younesbelkada ",
"Best of my knowledge, there are many(and almost) gpt-neox models are on the hub that uses attention bias:\r\n * pythia scailing suite family, e.g. EleutherAI/pythia-70m (https://huggingface.co/EleutherAI/pythia-70m),\r\n * polyglot korean LMs, e.g. EleutherAI/polyglot-ko-1.3b ... | 1,702 | 1,703 | 1,703 | CONTRIBUTOR | null | # What does this PR do?
This PR adds attention_bias configuration into GPT-NeoX models. Currently released models all use bias by default for the linear layers in attention block, but the GPT-NeoX library allows us to train models without attention bias. (can be trained with use_bias_in_attn_linear=False)
For com... | {
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"Thanks for reporting! It seems like the links don't work for Safari, but they're ok with the Arc/Chrome browsers. It seems like the link is being changed somehow from kubeflow to huggingface which is why it is giving the 404:\r\n\r\n```diff\r\n- https://www.kubeflow.org/docs/components/training/pytorch\r\n+ https:... | 1,702 | 1,707 | null | CONTRIBUTOR | null | ### System Info
N/A
### Who can help?
@stevhliu
### 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 details below)
### Reproduction
I recently helped ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28124 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28124/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28124/comments | https://api.github.com/repos/huggingface/transformers/issues/28124/events | https://github.com/huggingface/transformers/issues/28124 | 2,047,594,060 | I_kwDOCUB6oc56C85M | 28,124 | [Trainer.train] learning rate logging inconsistency: learning rate for the future step is logged | {
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NA
### Who can help?
@muellerzr and @pacman100
### 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 details below)
### Reproduction
[Thi... | {
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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/28122 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28122/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28122/comments | https://api.github.com/repos/huggingface/transformers/issues/28122/events | https://github.com/huggingface/transformers/pull/28122 | 2,047,370,131 | PR_kwDOCUB6oc5iTS_q | 28,122 | Fix weights not properly initialized due to shape mismatch | {
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"I will explain it a bit more tomorrow.",
"> only the weight matrices that need to be resized are randomly initialized.\r\n\r\nThat is a very good point, and I did think of it once. Here we have keys in checkpoint and keys in the model's `state_dcit()`.\r\nThey are not always identical, as could be seen [here](ht... | 1,702 | 1,703 | 1,703 | COLLABORATOR | null | # What does this PR do?
Currently, if there is some weight shape mismatched between the model and the checkpoint, and if ignore_mismatched_sizes=True, that/those weight(s) won't get initialized by the model's `_init_weights` method, and could get crazy values like 1e37.
This could make the training gets `nan loss... | {
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https://api.github.com/repos/huggingface/transformers/issues/28121 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28121/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28121/comments | https://api.github.com/repos/huggingface/transformers/issues/28121/events | https://github.com/huggingface/transformers/issues/28121 | 2,047,216,945 | I_kwDOCUB6oc56Bg0x | 28,121 | Add StyleTTS 2 to HF Transformers Pipeline | {
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"cc @sanchit-gandhi @ylacombe ",
"The model is indeed very performant (see [space](https://huggingface.co/spaces/styletts2/styletts2)) and has a permissive license: one of the packages is GNU licensed. Without this, it can be used with the MIT license\r\n\r\n=> on paper it looks like a great candidate for a model... | 1,702 | 1,707 | null | NONE | null | ### Feature request
Add [StyleTTS](https://github.com/yl4579/StyleTTS2) 2 to HF Transformers Pipeline
### Motivation
Would be great to have an easier way to run STTS2
### Your contribution
I created a [fork](https://github.com/neuralvox/styletts2) with importable scripts | {
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https://api.github.com/repos/huggingface/transformers/issues/28120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28120/comments | https://api.github.com/repos/huggingface/transformers/issues/28120/events | https://github.com/huggingface/transformers/issues/28120 | 2,047,205,290 | I_kwDOCUB6oc56Bd-q | 28,120 | Add Tortoise TTS to HF Pipeline | {
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"cc @sanchit-gandhi @ylacombe ",
"I saw [this issue](https://github.com/huggingface/diffusers/issues/3891), however personally I think it would be great to have a unified way to run TTS models. Transformer's `pipeline` has the most support right now, and pipelines in Diffusers are harder to use. Also, it would ma... | 1,702 | 1,705 | 1,705 | NONE | null | ### Feature request
Hi,
Might it be possible to add [Tortoise TTS](https://github.com/neonbjb/tortoise-tts) to the `text-to-speech` pipeline?
### Motivation
Tortoise TTS is currently the highest-quality permissively licensed text-to-speech library available.
### Your contribution
Tortoise TTS is already pip-ified... | {
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https://api.github.com/repos/huggingface/transformers/issues/28119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28119/comments | https://api.github.com/repos/huggingface/transformers/issues/28119/events | https://github.com/huggingface/transformers/issues/28119 | 2,047,169,168 | I_kwDOCUB6oc56BVKQ | 28,119 | Save model checkpoint error when multi-gpu training still happens on 4.36.1 | {
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"Hi @z7ye, thanks for raising this issue! \r\n\r\nCould you provide a minimal code snippet we can use to reproduce this error? \r\n\r\ncc @muellerzr @pacman100 ",
"And please upgrade to 4.36.2",
"> And please upgrade to 4.36.2\r\n\r\nThis problem occurs in training with multiple machines and multiple cards. Per... | 1,702 | 1,707 | null | NONE | null | ### System Info
platform: linux
python: 3.9
transformers: 4.36.1
running on two A10.2
### 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, .... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28118). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Fixes a typo in tokenizer documentation. For some methods, such as `tokenize()`, the description currently reads "Converts a string in a sequence of tokens, using the tokenizer." I believe what is meant is "Converts a string INTO a sequence of tokens".
## Before submitting
- [x] This PR... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28117). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/28116 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28116/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28116/comments | https://api.github.com/repos/huggingface/transformers/issues/28116/events | https://github.com/huggingface/transformers/issues/28116 | 2,047,064,498 | I_kwDOCUB6oc56A7my | 28,116 | TypeError: TextInputSequence must be str in converting squad examples to features | {
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"Hey, not 100% this is of high priority, issue is from [here](https://github.com/huggingface/transformers/blob/cfe84ba756059e609591aa83b6de654b6e39ab4d/src/transformers/data/processors/squad.py#L179-L188):\r\n```python \r\n encoded_dict = tokenizer.encode_plus( # TODO(thom) update this logic\r\n ... | 1,702 | 1,706 | 1,706 | NONE | null | ### System Info
- `transformers` version: 4.36.1
- Platform: Linux-4.15.0-196-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/28115 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28115/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28115/comments | https://api.github.com/repos/huggingface/transformers/issues/28115/events | https://github.com/huggingface/transformers/pull/28115 | 2,046,937,134 | PR_kwDOCUB6oc5iR0Yx | 28,115 | [`Mixtral`] Fix loss + nits | {
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"> # What does this PR do?\r\n> Properly compute the loss. Pushes for a uniform distribution.\r\n> \r\n> fixes #28021 Fixes #28093\r\n\r\nWhat were the side effects of the issue? Did it actually degrade training runs"
] | 1,702 | 1,703 | 1,703 | COLLABORATOR | null | # What does this PR do?
Properly compute the loss. Pushes for a uniform distribution.
fixes #28021
Fixes https://github.com/huggingface/transformers/issues/28093 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28114). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Merging now, once the checks are green, as it is a blocking feature, all tests are... | 1,702 | 1,703 | 1,703 | COLLABORATOR | null | # What does this PR do?
Supersedes #26699
This PR fixes two issues related to Whisper:
1. Wrong DTW matrix computation when computing word-level timestamps with beam search (issues #27362 and #28007)
2. Bug when computing world-levels timestamps with bs>1 using the pipeline (issue #27446 and PR #26699)
The f... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28113). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks for the quick review @amyeroberts!"
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | In https://github.com/huggingface/transformers/issues/27564 I did some cleaning in the environment variables. I added a warning if `DISABLE_TELEMETRY` was set to encourage using `HF_HUB_DISABLE_TELEMETRY` instead. However this warning is not necessary for at least two reasons:
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"cc @Narsil ",
"As the error mentions, `... StorageFull, message: \"No space left on device\" })` you don't have enough space on the device. Make sur to read the stacktrace it usuallu helps a lot 🤗 ",
"@ArthurZucker that's true - but it doesn't seem consistent with the space that @RonanKMcGovern is reporting i... | 1,702 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.36.1
- Platform: Linux-5.4.0-155-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu118 (True)
- Tensorf... | {
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https://api.github.com/repos/huggingface/transformers/issues/28111 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28111/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28111/comments | https://api.github.com/repos/huggingface/transformers/issues/28111/events | https://github.com/huggingface/transformers/issues/28111 | 2,046,459,318 | I_kwDOCUB6oc55-n22 | 28,111 | Facing issues when trying to fine-tune T5 | {
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"Hey, can you share the exact traceback to debug this? ",
"> Hey, can you share the exact traceback to debug this?\r\n\r\nSure thing!\r\n```\r\n---------------------------------------------------------------------------\r\nValueError Traceback (most recent call last)\r\n[<ipython-in... | 1,702 | 1,704 | 1,704 | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-6.1.58+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflow vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/28110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28110/comments | https://api.github.com/repos/huggingface/transformers/issues/28110/events | https://github.com/huggingface/transformers/pull/28110 | 2,046,371,146 | PR_kwDOCUB6oc5iP3qg | 28,110 | Spelling correction | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28110). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | correct minor typo in overview
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28109 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28109/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28109/comments | https://api.github.com/repos/huggingface/transformers/issues/28109/events | https://github.com/huggingface/transformers/issues/28109 | 2,046,259,585 | I_kwDOCUB6oc5593GB | 28,109 | remove unnecessary backend related checks in training_args.py | {
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"cc @muellerzr @pacman100 ",
"Happy new year! Any update?",
"Completely makes sense. For example M1 does not support certain dtypes, but M2 now supports some of them so it doesn't make sense to have the above assumptions.",
"any updates?\r\n"
] | 1,702 | 1,704 | null | NONE | null | ### Feature request
[Here](https://github.com/huggingface/transformers/blob/main/src/transformers/training_args.py#L1490-L1519)
IMO these checks in transformers should be removed.
```
if (
self.framework == "pt"
and is_torch_available()
and (self.device.type != "cuda")
... | {
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https://api.github.com/repos/huggingface/transformers/issues/28108 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28108/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28108/comments | https://api.github.com/repos/huggingface/transformers/issues/28108/events | https://github.com/huggingface/transformers/pull/28108 | 2,046,253,318 | PR_kwDOCUB6oc5iPeIf | 28,108 | Avoid unnecessary warnings when loading `CLIPConfig` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28108). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
">Hard-coding values like this is brittle\r\n\r\nThis is fine IMO for this situatio... | 1,702 | 1,703 | 1,703 | COLLABORATOR | null | # What does this PR do?
Avoid unnecessary warnings when loading `CLIPConfig`: when a user doesn't change something inside `text_config`.
Fix #28042 | {
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https://api.github.com/repos/huggingface/transformers/issues/28107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28107/comments | https://api.github.com/repos/huggingface/transformers/issues/28107/events | https://github.com/huggingface/transformers/pull/28107 | 2,046,130,822 | PR_kwDOCUB6oc5iPFL0 | 28,107 | [`Llava` / `Vip-Llava`] Add SDPA into llava | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28107). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
As per title, adds SDPA into Llava-family
This makes generation faster through torch sdpa for llava-like models
Also closes: https://huggingface.co/llava-hf/llava-1.5-7b-hf/discussions/9
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https://api.github.com/repos/huggingface/transformers/issues/28106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28106/comments | https://api.github.com/repos/huggingface/transformers/issues/28106/events | https://github.com/huggingface/transformers/issues/28106 | 2,046,055,139 | I_kwDOCUB6oc559FLj | 28,106 | Explicit option to disable deepspeed when loading a model | {
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"cc @pacman100 ",
"Hello @chiragjn,\r\n\r\nCan you try to do the below and let us know if that solves this issue as we already have the context manager `zero3_init_context_manager` which controls the zero init:\r\n```\r\ndef main():\r\n trainer_args = TrainingArguments(<fill this>)\r\n with trainer_args.dee... | 1,702 | 1,706 | 1,706 | NONE | null | ### Feature request
Option to disable deepspeed explicitly on a per-model basis
### Motivation
So I have a little bit of an odd setup
In my qlora/lora fine-tuning script, I launch with `accelerate launch --mixed_precision bf16 --use_deepspeed train.py --deepspeed deepspeed_zero3.json ...` and I am using the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28105 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28105/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28105/comments | https://api.github.com/repos/huggingface/transformers/issues/28105/events | https://github.com/huggingface/transformers/issues/28105 | 2,045,923,480 | I_kwDOCUB6oc558lCY | 28,105 | T5Tokenizer: Different decoding behaviour depending on the tokenizer method used | {
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"Also get same results with other `t5` models like `t5-base`; haven't tried other tokenizers though.\r\n\r\nWhen using a non-fast tokenizer, I also get the same result. Here I am using `tokenizer.sp_model`instead of `tokenizer.decoder` in the last step. ",
"There must be a punctuated-based post-processing which I... | 1,702 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.36.1
- Platform: Linux-6.1.55-1-lts-x86_64-with-glibc2.38
- Python version: 3.11.5
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): not installed (NA)
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/28104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28104/comments | https://api.github.com/repos/huggingface/transformers/issues/28104/events | https://github.com/huggingface/transformers/issues/28104 | 2,045,869,224 | I_kwDOCUB6oc558Xyo | 28,104 | CUDA Error running the Translaton example with Accelerate or Trainer in a Multi GPU distributed setup | {
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"Running the same script in the CPU may reveal more details about the error",
"Hi @anindya-saha, thanks for raising this issue! \r\n\r\nThere were some recent fixes committed to `main` which resolve training in the multi-GPU setting. These will be released soon as part of a patch release. Could you try installing... | 1,702 | 1,707 | null | NONE | null | ### System Info
Hello Team,
I am trying to run the translation example in examples/pytorch/translation/run_translation.py in a distributed manner through accelerate as follows.
```bash
accelerate launch --config_file default_config.yaml run_translation.py \
--model_name_or_path Helsinki-NLP/opus-mt-en-ro ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28103/comments | https://api.github.com/repos/huggingface/transformers/issues/28103/events | https://github.com/huggingface/transformers/issues/28103 | 2,045,776,155 | I_kwDOCUB6oc558BEb | 28,103 | OWL-VIT Vision Foundation Model deployment in the edge cases - Need SDPA support for OWL-ViT Model optimization for Edge Deployment | {
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"Hi,\r\n\r\nFor this one I'd recommend taking a look at the [Optimum](https://huggingface.co/docs/optimum/index) library which provides utilities for ONNX export and further optimization like pruning/quantization.\r\n\r\nYou can probably reduce the size of the model most by quantization.",
"This issue has been au... | 1,702 | 1,706 | null | NONE | null | ### Feature request
Hi Team,
I am working with OWL-ViT Size model which has around 611 MB size ( https://huggingface.co/google/owlvit-base-patch16).
I want to optimize this model and like to deploy in the edge device for object detection.
Come to know from the group torch.scaled_dot_product_attention can be used... | {
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https://api.github.com/repos/huggingface/transformers/issues/28102 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28102/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28102/comments | https://api.github.com/repos/huggingface/transformers/issues/28102/events | https://github.com/huggingface/transformers/pull/28102 | 2,045,744,156 | PR_kwDOCUB6oc5iNxZH | 28,102 | fix bug: avoid divide by zero in _maybe_log_save_evaluate() | {
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"> Hello, thank you for the PR, but I think better solution would be to the following check in `_maybe_log_save_evaluate`:\r\n> \r\n> ```\r\n> if self.control.should_log and self.state.global_step>self._globalstep_last_logged:\r\n> ```\r\n\r\nYes, your solution are better. I just think to avoid in _inner_training_l... | 1,702 | 1,703 | 1,703 | CONTRIBUTOR | null | set logging_strategy="steps" and logging_steps=10,
when that one epoch have 100 steps, the should_log will be set to True in last step.
And self._globalstep_last_logged will be assign to self.state.global_step in _maybe_log_save_evaluate() method by line 1917 in trainer.py.
the line 1933 in trainer.py , self.callb... | {
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https://api.github.com/repos/huggingface/transformers/issues/28101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28101/comments | https://api.github.com/repos/huggingface/transformers/issues/28101/events | https://github.com/huggingface/transformers/issues/28101 | 2,045,680,594 | I_kwDOCUB6oc557pvS | 28,101 | Will deep StateSpace models add to this library? | {
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] | open | false | null | [] | [] | 1,702 | 1,702 | null | NONE | null | ### Feature request
Will huggingface add deep StateSpace models to transformers library or create a new repo like Diffusers?
### Motivation
Deep StateSpace models may become the next big thing.
### Your contribution
No | {
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https://api.github.com/repos/huggingface/transformers/issues/28100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28100/comments | https://api.github.com/repos/huggingface/transformers/issues/28100/events | https://github.com/huggingface/transformers/issues/28100 | 2,045,679,616 | I_kwDOCUB6oc557pgA | 28,100 | QWenLMHeadModel does not support Flash Attention 2.0 yet. | {
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"+1",
"Hi @zhangfan-algo, thanks for creating this feature request. \r\n\r\nIs this model code on the hub? If so, the request to add FA2 support should be done on the discussion page for that model. \r\n\r\nIn the meantime - we should update this message on our end to route users to the correct place. ",
"> Hi ... | 1,702 | 1,706 | 1,706 | NONE | null | 
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https://api.github.com/repos/huggingface/transformers/issues/28099 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28099/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28099/comments | https://api.github.com/repos/huggingface/transformers/issues/28099/events | https://github.com/huggingface/transformers/issues/28099 | 2,045,486,232 | I_kwDOCUB6oc5566SY | 28,099 | Dataset not loading successfully. | {
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"Hey @hi-sushanta,\r\n\r\nCan you post `datasets`-related issues on the datasets library instead? \r\nhttps://github.com/huggingface/datasets",
"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\... | 1,702 | 1,705 | 1,705 | CONTRIBUTOR | null | ### System Info
* transformers -> 4.36.1
* datasets -> 2.15.0
* huggingface_hub -> 0.19.4
* python -> 3.8.10
* accelerate -> 0.25.0
* pytorch -> 2.0.1+cpu
* Using GPU in Script -> No
### Who can help?
@patrickvonplaten , @amyeroberts
### Information
- [X] The official example scripts
- [ ] My own modified ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28098 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28098/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28098/comments | https://api.github.com/repos/huggingface/transformers/issues/28098/events | https://github.com/huggingface/transformers/issues/28098 | 2,045,287,243 | I_kwDOCUB6oc556JtL | 28,098 | Create create_token_type_ids_from_sequences for CodeGenTokenizer | {
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"cc @ArthurZucker ",
"Hey, would you like to open a PR? 🤗 ",
"Yes, I will do it.",
"Are `token_type_ids` ever used by CodeGen? BERT uses `token_type_ids` to differentiate between the two sentences used for the next sentence prediction training task. To the best of my understanding, CodeGen does not do that.\... | 1,702 | 1,706 | null | NONE | null | ### Feature request
In CodeGenTokenizer [here](src/transformers/models/codegen/tokenization_codegen.py), there is no implementation for create_token_type_ids_from_sequences.
I was looking to the tutorial for token_type_ids as a reference: [here](https://huggingface.co/docs/transformers/glossary#token-type-ids).
... | {
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https://api.github.com/repos/huggingface/transformers/issues/28097 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28097/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28097/comments | https://api.github.com/repos/huggingface/transformers/issues/28097/events | https://github.com/huggingface/transformers/issues/28097 | 2,045,272,598 | I_kwDOCUB6oc556GIW | 28,097 | WhisperProcessor doesn't copy output tensor to CPU for `decode(output_offsets=True)` | {
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Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.36.1
- Platform: Linux-6.6.7-arch1-1-x86_64-with-glibc2.38
- Python version: 3.11.6
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/28096 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28096/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28096/comments | https://api.github.com/repos/huggingface/transformers/issues/28096/events | https://github.com/huggingface/transformers/issues/28096 | 2,045,262,269 | I_kwDOCUB6oc556Dm9 | 28,096 | [LlamaTokenizer] Inconsistent slow vs. fast tokenization when dealing with unknown tokens | {
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"Another test case:\r\n```py\r\ntext = \"def main():\\n\\tpass\"\r\n...\r\n# Fast tokenizer\r\n# ['▁def', '▁main', '(', ')', ':', '\\n', '<unk>', 'p', 'ass']\r\n# [1, 12849, 17375, 32, 33, 29, 5, 0, 31694, 1917]\r\n\r\n# ['▁def', '▁main', '(', ')', ':', '\\n', '▁pass']\r\n# [1, 12849, 17375, 32, 33, 29, 5, 4005]\r\... | 1,702 | 1,707 | 1,707 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.1
- Platform: Linux-6.2.0-1018-azure-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.1+cu121 (False)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/28095 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28095/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28095/comments | https://api.github.com/repos/huggingface/transformers/issues/28095/events | https://github.com/huggingface/transformers/issues/28095 | 2,044,930,519 | I_kwDOCUB6oc554ynX | 28,095 | logits squeezing causes an error during the inference time (If the last epoch contains only one sample) | {
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"Can anyone solve this in the next release?",
"Hi @fadiabdulf, \r\n\r\nPlease follow the [issue template](https://github.com/huggingface/transformers/blob/main/.github/ISSUE_TEMPLATE/bug-report.yml) and provide information about the running environment (run `transformers-cli env` in the terminal and copy-paste th... | 1,702 | 1,706 | 1,706 | NONE | null | https://github.com/huggingface/transformers/blob/238d2e3c44366aba9dc5c770c95475765a6725cb/src/transformers/trainer.py#L3452 | {
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https://api.github.com/repos/huggingface/transformers/issues/28094 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28094/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28094/comments | https://api.github.com/repos/huggingface/transformers/issues/28094/events | https://github.com/huggingface/transformers/pull/28094 | 2,044,897,781 | PR_kwDOCUB6oc5iLBlE | 28,094 | [`Add Mamba`] Adds support for the `Mamba` models | {
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"Oups! Still planned but KVCache will come first",
"Alright I am picking this back up! ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28094). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last u... | 1,702 | 1,708 | null | COLLABORATOR | null | # What does this PR do?
- [x] Implement cpu ops
- [x] Add integration tests
- [x] Implement fast path
- [ ] check training + peft
- [x] convert all checkpoints: just need to make sure config is correct
Feel free to try this:
```python
from transformers import MambaConfig, MambaForCausalLM, AutoTokenizer... | {
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https://api.github.com/repos/huggingface/transformers/issues/28093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28093/comments | https://api.github.com/repos/huggingface/transformers/issues/28093/events | https://github.com/huggingface/transformers/issues/28093 | 2,044,645,421 | I_kwDOCUB6oc553tAt | 28,093 | load_balancing_loss in mixtral model | {
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"same question.",
"Hi everyone, https://github.com/huggingface/transformers/pull/28115 should fix this issue",
"The aux loss is constant too(now is 8 but not 4, and no grad when BP) after using PR #28115 \r\n@younesbelkada @ArthurZucker ",
"I also meet this. And there is no `grad_fn` in the loss tensor.\r\n\r... | 1,702 | 1,703 | 1,703 | NONE | null | ### System Info
torch '1.13.0+cu117'
### Who can help?
@ArthurZucker and @younesbelkada
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below... | {
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https://api.github.com/repos/huggingface/transformers/issues/28092 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28092/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28092/comments | https://api.github.com/repos/huggingface/transformers/issues/28092/events | https://github.com/huggingface/transformers/pull/28092 | 2,044,627,356 | PR_kwDOCUB6oc5iKJ3W | 28,092 | Mixtral: Reduce and Increase Expert Models | {
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"cc @ArthurZucker @younesbelkada ",
"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/tra... | 1,702 | 1,705 | 1,705 | NONE | null | This pr adds a method to MixtralSparseMoeBlock, MixtralDecoderLayer and MixtralModel that removes one or more experts from MixtralModel. | {
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https://api.github.com/repos/huggingface/transformers/issues/28091 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28091/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28091/comments | https://api.github.com/repos/huggingface/transformers/issues/28091/events | https://github.com/huggingface/transformers/pull/28091 | 2,044,572,059 | PR_kwDOCUB6oc5iJ-w6 | 28,091 | fix ConversationalPipeline docstring | {
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"hii, @stevhliu and @MKhalusova following the issue mentioned above, i would like to ask for a review on this pull request",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28091). All of your documentation changes will be reflected on that endpoint. The docs are availab... | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
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Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/28090 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28090/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28090/comments | https://api.github.com/repos/huggingface/transformers/issues/28090/events | https://github.com/huggingface/transformers/issues/28090 | 2,044,571,444 | I_kwDOCUB6oc553a80 | 28,090 | fix documentation docstring | {
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the following the deocumentation in huggingface about [ConversationalPipeline](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.ConversationalPipeline.example) the example shown in here seems to be broken
![image](https://github.com/huggingface/transformers/assets/7041181... | {
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https://api.github.com/repos/huggingface/transformers/issues/28089 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28089/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28089/comments | https://api.github.com/repos/huggingface/transformers/issues/28089/events | https://github.com/huggingface/transformers/issues/28089 | 2,044,319,489 | I_kwDOCUB6oc552dcB | 28,089 | Error in pipeline while inferencing Llama2, colab link below | {
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"@goblinvalo you can follow the [model card](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ) for the `TheBloke/Llama-2-7B-Chat-GPTQ` model \r\ni just used the following code in colab and it worked for me \r\n\r\n```bash\r\n!pip3 install transformers>=4.32.0 optimum>=1.12.0\r\n!pip3 install auto-gptq --extra-... | 1,702 | 1,702 | 1,702 | NONE | null | ### System Info
here is the colab notebook link
https://colab.research.google.com/drive/1rjDR7i9MWkTmOhsZEg3oU-AHntQhBFCD?usp=sharing
until yesterday it was working fine got this error today.
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28088 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28088/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28088/comments | https://api.github.com/repos/huggingface/transformers/issues/28088/events | https://github.com/huggingface/transformers/pull/28088 | 2,044,314,999 | PR_kwDOCUB6oc5iJHBv | 28,088 | Support `DeepSpeed` when using auto find batch size | {
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"I tried the latest main as of today which should include this commit and unfortunately it still crashes\r\n```\r\n File \"/data/v/ft/lib/python3.10/site-packages/accelerate/accelerator.py\", line 1958, in backward\r\n self.deepspeed_engine_wrapped.backward(loss, **kwargs)\r\nAttributeError: 'NoneType' object h... | 1,702 | 1,705 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
This PR addresses https://github.com/huggingface/transformers/issues/24558 by letting the `Trainer` modify the deepspeed plugin *specifically when using auto batch size finder*.
It refactors the logic for propagation of the deepspeed arguments into its own function so that on the fly we c... | {
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https://api.github.com/repos/huggingface/transformers/issues/28087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28087/comments | https://api.github.com/repos/huggingface/transformers/issues/28087/events | https://github.com/huggingface/transformers/pull/28087 | 2,044,310,026 | PR_kwDOCUB6oc5iJF7s | 28,087 | [docs] General doc fixes | {
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"Hi @amyeroberts! The CI error is:\r\n\r\n```\r\nException: The following objects are in the public init so should be documented:\r\n - NerPipeline\r\n```\r\n\r\nWould this be fixed by removing `NerPipeline` from the following?\r\n- https://github.com/huggingface/transformers/blob/0d63d17765f954ba2b050c1d8be0001e95... | 1,702 | 1,702 | 1,702 | MEMBER | null | Cleans up a few things:
- Fused AWQ benchmark [table](https://huggingface.co/docs/transformers/main/en/quantization#fused-awq-modules) broken because there wasn't a blankline between the title and table
- tidies up the new sections added in the GPU inference doc
- removes the `NerPipeline` from internal discussion... | {
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https://api.github.com/repos/huggingface/transformers/issues/28086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28086/comments | https://api.github.com/repos/huggingface/transformers/issues/28086/events | https://github.com/huggingface/transformers/issues/28086 | 2,044,202,742 | I_kwDOCUB6oc552A72 | 28,086 | Add [`Mamba`] model | {
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"Thanks for opening this issue! Given the sensitivity of this model, the HF team will take it over, we'll have a look at your fork and add you as a co-other 🤗 ",
"Thanks a lot!\r\n\r\nMy fork is largely inspired from the original Mamba repo, the differences mostly consisting in boilerplate code. So don’t hesitat... | 1,702 | 1,705 | null | NONE | null | ### Model description
Mamba is a new architecture proposed in [arXiv:2312.00752](https://arxiv.org/abs/2312.00752) by Albert Gu (CMU) and Tri Dao (Princeton).
It is inspired by structured state space models (SSMs), but with the addition of a selection mechanism that allows it to combines the ability of transformers... | {
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https://api.github.com/repos/huggingface/transformers/issues/28085 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28085/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28085/comments | https://api.github.com/repos/huggingface/transformers/issues/28085/events | https://github.com/huggingface/transformers/pull/28085 | 2,044,194,088 | PR_kwDOCUB6oc5iIsbN | 28,085 | Fix Vip-llava docs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28085). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,703 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Fixes some nits on the Vip-Llava docs, in fact users should be aware that the correct prompt format is different from the llava one, as stated on the model card: https://huggingface.co/llava-hf/vip-llava-7b-hf#how-to-use-the-model
Also updated the docs in the modeling
cc @amyeroberts
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https://api.github.com/repos/huggingface/transformers/issues/28084 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28084/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28084/comments | https://api.github.com/repos/huggingface/transformers/issues/28084/events | https://github.com/huggingface/transformers/pull/28084 | 2,044,189,740 | PR_kwDOCUB6oc5iIrf6 | 28,084 | Misc updates to CPU Dockerfiles | {
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"@dmsuehir feel free to review too.\r\nThanks.",
"cc @ydshieh for first review ",
"Hi @ashahba \r\n\r\nThank you for the issue and this PR 🤗 .\r\n\r\nThese files are not used at all in our CI. We should probably them. So we won't merge this fix, sorry.\r\n\r\n",
"Thanks @ydshieh\r\nDo you want me to close th... | 1,702 | 1,703 | 1,703 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes #28082
Currently `cpu` containers and possibly GPU ones as well under `docker` folder are out of date.The reason being [ubuntu:18.04](https://hub.docker.com/_/ubuntu/tags?page=1&name=18.04) base image was updated over 6 months ago and most likely there won't be anymore updates... | {
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https://api.github.com/repos/huggingface/transformers/issues/28083 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28083/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28083/comments | https://api.github.com/repos/huggingface/transformers/issues/28083/events | https://github.com/huggingface/transformers/pull/28083 | 2,044,157,025 | PR_kwDOCUB6oc5iIkVh | 28,083 | PatchtTST and PatchTSMixer fixes | {
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"Hi @wgifford, thanks for opening this PR! \r\n\r\nLet us know when it's ready for review! ",
"Hi @amyeroberts I just rebased on current main. I think it is ready for review.",
"thanks @amyeroberts I'll fix it up and push suggestions",
"> thanks @amyeroberts I'll fix it up and push suggestions\r\n\r\nHi Kashi... | 1,702 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
Makes PatchTST and PatchTSMixer interfaces more consistent -- using similar parameter names for method arguments and returned data objects.
Fixes a few minor bugs in PatchTST implementation.
Ensures more consistent output shapes with regression when an output_distribution is chosen (in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28082 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28082/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28082/comments | https://api.github.com/repos/huggingface/transformers/issues/28082/events | https://github.com/huggingface/transformers/issues/28082 | 2,044,146,496 | I_kwDOCUB6oc551zNA | 28,082 | Dockerfiles under "docker" folder specially CPU ones fail to build. | {
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"cc @ydshieh "
] | 1,702 | 1,703 | 1,703 | CONTRIBUTOR | null | ### System Info
- tip of `main` hence `v4.36.1`
- Runing Docker version 24.0.7 on Linux Ubuntu 22.04
### Reproduction
Running:
```
docker build -f docker/transformers-pytorch-cpu/Dockerfile . --tag transformers-pytorch-cpu
```
from tip of `main` branch results in:
```
=> [5/6] COPY . transformers/ ... | {
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"Quick re-ping about this one @amyeroberts! (it's a very small PR, but I'd like to get it in so the CI stops upsetting Yih-Dar)"
] | 1,702 | 1,702 | 1,702 | MEMBER | null | The TF `build()` PR brought back an old issue where TF would latch onto the first concrete shape it saw, which would then become the model's save signature. We avoid it by hitting `self._set_save_spec()` with flexible shapes ASAP when models are created.
This PR also replaces a few more instances of `build()` with `... | {
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https://api.github.com/repos/huggingface/transformers/issues/28080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28080/comments | https://api.github.com/repos/huggingface/transformers/issues/28080/events | https://github.com/huggingface/transformers/pull/28080 | 2,044,009,323 | PR_kwDOCUB6oc5iID1Q | 28,080 | Update fixtures-image-utils | {
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This dataset has a script that writes cache image files that are used in tests.
But in the next release the dataset is loaded from the... | {
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https://api.github.com/repos/huggingface/transformers/issues/28079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28079/comments | https://api.github.com/repos/huggingface/transformers/issues/28079/events | https://github.com/huggingface/transformers/issues/28079 | 2,043,961,955 | I_kwDOCUB6oc551GJj | 28,079 | Expose `gradient_as_bucket_view` as training argument for `DDP` | {
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"cc @muellerzr @pacman100 ",
"In the start of Q1 I'll be looking at closely integrating an Accelerate configuration as part of the `TrainingArguments` that will let you configure and pass anything you want in, rather than blowing up the `TrainingArguments` with many different arguments. If you can wait a few week... | 1,702 | 1,702 | null | NONE | null | ### Feature request
As the title says, add `gradient_as_bucket_view` as the training argument (default False)
### Motivation
I have been experimenting with qlora fine-tuning LLMs on multiple A10 GPUs and I am leveraging DDP. I was going through the torch docs and https://pytorch.org/docs/2.1/generated/torch.nn... | {
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https://api.github.com/repos/huggingface/transformers/issues/28078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28078/comments | https://api.github.com/repos/huggingface/transformers/issues/28078/events | https://github.com/huggingface/transformers/pull/28078 | 2,043,945,589 | PR_kwDOCUB6oc5iH14z | 28,078 | Fix bug for checkpoint saving on multi node training setting | {
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"@muellerzr Is this a regression fix like #28009 or resolving an existing bug?",
"@amyeroberts regression fix, includes a fix for the same issue but on multinode. ",
"cc @thundergolfer too since I know you're trying to keep an eye on them all :)",
"Thanks @dumpmemory. Another edge case squashed!"
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28077/comments | https://api.github.com/repos/huggingface/transformers/issues/28077/events | https://github.com/huggingface/transformers/pull/28077 | 2,043,933,828 | PR_kwDOCUB6oc5iHzTT | 28,077 | Disable jitter noise during evaluation in SwitchTransformers | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28077). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | 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/28076 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28076/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28076/comments | https://api.github.com/repos/huggingface/transformers/issues/28076/events | https://github.com/huggingface/transformers/issues/28076 | 2,043,873,647 | I_kwDOCUB6oc550wlv | 28,076 | The model's name is saved as model.safetensors while the logger reported its name as pytorch_model.bin, which is quite weird. | {
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"The function parameter is safe_serialization: bool = True, but the logger file name is a constant which is used for the situation of safe_serialization: bool = False and it causes ambiguousness.",
"Hi @izyForever, thanks for raising this issue! \r\n\r\nIndeed, it seems this logging line wasn't updated to reflect... | 1,702 | 1,706 | 1,703 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.11.2
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.0
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.1+cu118 (True)
- Tensorflow version (GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/28075 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28075/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28075/comments | https://api.github.com/repos/huggingface/transformers/issues/28075/events | https://github.com/huggingface/transformers/issues/28075 | 2,043,781,068 | I_kwDOCUB6oc550Z_M | 28,075 | Adding support for a static shape `generate` | {
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"cc @gante ",
"Any update on this ticket?",
"There is an open PR: https://github.com/huggingface/transformers/pull/27931",
"Thanks @oobabooga 🤗 and yes this is my main focus, hoping to ship by end of the week",
"Many thanks! do you need help for the PR? (Development/testing/writing examples on how to run a... | 1,702 | 1,707 | 1,707 | NONE | null | ### Feature request
Many inference AI accelerators (Intel NPU, IPU, TPU, etc...) requires static shapes get maximum performance. Static shapes allows the NN graph compiler to improve memory management, schedule and overall network performance.
However in transformers the `generate` function uses dynamic shapes and... | {
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https://api.github.com/repos/huggingface/transformers/issues/28074 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28074/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28074/comments | https://api.github.com/repos/huggingface/transformers/issues/28074/events | https://github.com/huggingface/transformers/issues/28074 | 2,043,766,034 | I_kwDOCUB6oc550WUS | 28,074 | Inference speed becomes slower after quantization | {
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"cc @younesbelkada @SunMarc ",
"hi @xinyual \r\nThanks a lot for the issue, in fact, in your script you are using `bnb_4bit_use_double_quant` which slows down inference at the price of being more memory efficient since the linear layers will be quantized twice. \r\nif you disable double quant it should be faster,... | 1,702 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.37.0.dev0
- Platform: Linux-5.15.0-1038-aws-x86_64-with-glibc2.10
- Python version: 3.8.17
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0.dev0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28073 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28073/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28073/comments | https://api.github.com/repos/huggingface/transformers/issues/28073/events | https://github.com/huggingface/transformers/pull/28073 | 2,043,765,991 | PR_kwDOCUB6oc5iHOei | 28,073 | Fix weights not properly initialized due to shape mismatch | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28073). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"As this touches the core file, request 2 reviews 🙏 ",
"Guess I have to add some... | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | Currently, if there is some weight shape mismatched between the model and the checkpoint, and if `ignore_mismatched_sizes=True`, that/those weight(s) won't get initialized by the model's `_init_weights` method, and could get crazy values like `1e37`.
This could make the training gets nan loss value from the beginnin... | {
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https://api.github.com/repos/huggingface/transformers/issues/28072 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28072/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28072/comments | https://api.github.com/repos/huggingface/transformers/issues/28072/events | https://github.com/huggingface/transformers/issues/28072 | 2,043,757,981 | I_kwDOCUB6oc550UWd | 28,072 | Can i convert open-clip trained models (.pt) using code “src/transformers/models/clip/convert_clip_original_pytorch_to_hf.py” ？ | {
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"Hi @jzssz, thanks for raising an issue! \r\n\r\nYes, it should be possible to convert a CLIP checkpoint to its HF equivalent using the script. Without having access to your checkpoint, it's not possible to reproduce and debug the issue on our side. \r\n\r\nFrom the error, it looks like there's a problem in the ser... | 1,702 | 1,702 | null | NONE | null | ### Model description
openclip：https://github.com/mlfoundations/open_clip
i use openclip to train model and get "epoch_400.pt".
**and i want to convert this "epoch_400.pt" to hf, so i run:**
python src/transformers/models/clip/convert_clip_original_pytorch_to_hf.py --pytorch_dump_folder_path "./openclip_s... | {
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https://api.github.com/repos/huggingface/transformers/issues/28071 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28071/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28071/comments | https://api.github.com/repos/huggingface/transformers/issues/28071/events | https://github.com/huggingface/transformers/pull/28071 | 2,043,757,468 | PR_kwDOCUB6oc5iHMoj | 28,071 | Fix SpeechT5 `decoder_attention_mask` shape | {
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"After running the slow tests, we have these two failing tests:\r\n```\r\nFAILED tests/models/speecht5/test_modeling_speecht5.py::SpeechT5ForTextToSpeechIntegrationTests::test_batch_generation - AssertionError: torch.Size([3, 264, 80]) != (3, 262, 80)\r\nFAILED tests/models/speecht5/test_modeling_speecht5.py::Speec... | 1,702 | 1,707 | null | COLLABORATOR | null | # What does this PR do?
#26598 rightfully raised a warning when passing labels to `SpeechT5`. When it happens, a reduction factor is applied to the `labels` but not to the `decoder_attention_mask` that comes with it, resulting in a mismatch.
Fixes #26598
cc @amyeroberts @sanchit-gandhi | {
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https://api.github.com/repos/huggingface/transformers/issues/28070 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28070/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28070/comments | https://api.github.com/repos/huggingface/transformers/issues/28070/events | https://github.com/huggingface/transformers/issues/28070 | 2,043,706,277 | I_kwDOCUB6oc550Hul | 28,070 | TypeError: 'ModelMetaclass' object is not iterable | {
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"Hi @andysingal \r\nThanks for the issue! \r\nI think `HfArgumentParser` requires a `dataclass` - can you try to un-comment `# @dataclass` ?",
"> Hi @andysingal Thanks for the issue! I think `HfArgumentParser` requires a `dataclass` - can you try to un-comment `# @dataclass` ?\r\n\r\ni tried, now getting error:\r... | 1,702 | 1,705 | 1,705 | NONE | null | ### System Info
RTX 3090
### Who can help?
@younesbelkada while working on:
```
import os
from dataclasses import dataclass, field
from typing import Optional
from datasets.arrow_dataset import Dataset
import torch
from datasets import load_dataset
from peft import LoraConfig
from peft import AutoPeftModelF... | {
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https://api.github.com/repos/huggingface/transformers/issues/28069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28069/comments | https://api.github.com/repos/huggingface/transformers/issues/28069/events | https://github.com/huggingface/transformers/issues/28069 | 2,043,705,426 | I_kwDOCUB6oc550HhS | 28,069 | Add time progress bar to track the group_by_length computation for bigger datasets on Trainer | {
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"cc @muellerzr @pacman100 "
] | 1,702 | 1,702 | null | NONE | null | ### Feature request
When setting the flag `group_by_length=True` on the TrainingArguments, there is no user feedback of the operations running in the background, namely getting the list of lengths for all the samples and running the grouping algorithm. This can be a frustrating problem when dealing with large datase... | {
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https://api.github.com/repos/huggingface/transformers/issues/28068 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28068/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28068/comments | https://api.github.com/repos/huggingface/transformers/issues/28068/events | https://github.com/huggingface/transformers/pull/28068 | 2,043,661,913 | PR_kwDOCUB6oc5iG3yT | 28,068 | [`Mixtral`] update conversion script to reflect new changes | {
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"> Re removal from Mixtral modeling files, I'd say yes if it's never used. Depends on whether you think it'll ever be added again in the future.\r\n\r\nLet me check that with Mistral team and if it will not be added again, I also think it should be removed",
"The docs for this PR live [here](https://moon-ci-docs.... | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Fixes: https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1/discussions/41
Sliding window has been recently removed from mixtral config, thus we need to reflect these changes in the conversion script
I also wonder if we should ignore `sliding_window` in MixtralAttention & Mixtral... | {
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https://api.github.com/repos/huggingface/transformers/issues/28067 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28067/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28067/comments | https://api.github.com/repos/huggingface/transformers/issues/28067/events | https://github.com/huggingface/transformers/issues/28067 | 2,043,646,283 | I_kwDOCUB6oc55z5FL | 28,067 | No module named 'clip' | {
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"The instructions for installing the package `clip` can be found on the original implementation's github README: https://github.com/openai/CLIP"
] | 1,702 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-5.4.0-166-generic-x86_64-with-glibc2.17
- Python version: 3.8.18
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 1.13.1 (True)
- Tenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/28066 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28066/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28066/comments | https://api.github.com/repos/huggingface/transformers/issues/28066/events | https://github.com/huggingface/transformers/issues/28066 | 2,043,567,873 | I_kwDOCUB6oc55zl8B | 28,066 | Tokenizer padding does not work when return_tensor="pt" | {
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"Could you share a traceback of the error? \r\n",
"Sorry, it is updated now :)",
"Also related but not sure if it is the same. When using DataCollator on batches with keys that are not inputIds it fails:\r\nhttps://huggingface.co/docs/transformers/main_classes/data_collator#transformers.DataCollatorWithPadding\... | 1,702 | 1,706 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.36.1
- Platform: Linux-5.15.0-71-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/28065 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28065/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28065/comments | https://api.github.com/repos/huggingface/transformers/issues/28065/events | https://github.com/huggingface/transformers/pull/28065 | 2,043,507,125 | PR_kwDOCUB6oc5iGVb6 | 28,065 | Cache: `Bart` and related architectures support `Cache` objects | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28065). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@amyeroberts this PR is not finalized, but I'd love to get an early review -- the ... | 1,702 | 1,705 | null | MEMBER | null | # What does this PR do?
This PR applies the changes to `Bart` so it supports the new `Cache` objects. In other works, it is akin to #26681 but for encoder-decoder models.
⚠️ This is a giant PR that can't be separated due to our copy mechanism (🙃), but the review process doesn't need to be daunting. Here's my sug... | {
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https://api.github.com/repos/huggingface/transformers/issues/28064 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28064/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28064/comments | https://api.github.com/repos/huggingface/transformers/issues/28064/events | https://github.com/huggingface/transformers/pull/28064 | 2,043,489,693 | PR_kwDOCUB6oc5iGReQ | 28,064 | doc: Correct spelling mistake | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28064). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Correct the word "toekn" to "token" in a document. | {
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https://api.github.com/repos/huggingface/transformers/issues/28063 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28063/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28063/comments | https://api.github.com/repos/huggingface/transformers/issues/28063/events | https://github.com/huggingface/transformers/issues/28063 | 2,043,339,236 | I_kwDOCUB6oc55yuHk | 28,063 | can not find dataset_name transformersbook/codeparrot | {
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"Hi @sxsxsx, thanks for raising this issue! \r\n\r\nCould you please provide information about the running environment: run `transformers-cli env` in the terminal and copy-paste the output? \r\n\r\nIs the script being run `examples/research_projects/codeparrot/scripts/preprocessing.py ? Please note that the researc... | 1,702 | 1,705 | 1,705 | NONE | null | ### System Info
python scripts/preprocessing.py \
--dataset_name transformersbook/codeparrot \
--output_dir codeparrot-clean
can not find dataset_name transformersbook/codeparrot
the error is
Traceback (most recent call last):
File "scripts/preprocessing.py", line 171, in <module>
ds = load_datase... | {
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https://api.github.com/repos/huggingface/transformers/issues/28062 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28062/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28062/comments | https://api.github.com/repos/huggingface/transformers/issues/28062/events | https://github.com/huggingface/transformers/pull/28062 | 2,043,336,160 | PR_kwDOCUB6oc5iFuY8 | 28,062 | Remove SpeechT5 deprecated argument | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28062). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Merging !"
] | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
`stop_labels` is an unused argument that was supposed to be removed in `4.30.0`, here I remove it!
cc @amyeroberts | {
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https://api.github.com/repos/huggingface/transformers/issues/28061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28061/comments | https://api.github.com/repos/huggingface/transformers/issues/28061/events | https://github.com/huggingface/transformers/pull/28061 | 2,043,330,623 | PR_kwDOCUB6oc5iFtJJ | 28,061 | [`Modeling` / `Mixtral`] Fix GC + PEFT issues with Mixtral | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28061). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks ! As far as I know all models that uses the new cache refactor have been fi... | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Applies the same fix presented in #28031 for Mixtral, specifically addresses: https://github.com/huggingface/transformers/issues/28023#issuecomment-1856556941
cc @amyeroberts
Fixes: https://github.com/huggingface/trl/issues/1088 | {
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https://api.github.com/repos/huggingface/transformers/issues/28060 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28060/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28060/comments | https://api.github.com/repos/huggingface/transformers/issues/28060/events | https://github.com/huggingface/transformers/pull/28060 | 2,043,320,287 | PR_kwDOCUB6oc5iFq0H | 28,060 | Skip M4T `test_retain_grad_hidden_states_attentions` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28060). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks for fixing! \r\n\r\nIf training is allowed to happen on the model but it ca... | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
After investigating the reasons for the `test_retain_grad_hidden_states_attentions` flaky failure, I realized the speech encoder attentions can be `None` with a non-zero probability when `training=True`. Skipping the test is the fastest fix.
Fixes #28036
cc @gante @amyeroberts @ydshieh... | {
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https://api.github.com/repos/huggingface/transformers/issues/28059 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28059/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28059/comments | https://api.github.com/repos/huggingface/transformers/issues/28059/events | https://github.com/huggingface/transformers/pull/28059 | 2,043,291,530 | PR_kwDOCUB6oc5iFkT_ | 28,059 | [Flax LLaMA] Fix attn dropout | {
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Attention dropout was not activated in Flax LLaMA, despite it being so in PyTorch LLaMA: https://github.com/huggingface/transformers/blob/1a585c1222a56bcaecc070966d558d4a9d862e83/src/transformers/models/llama/modeling_llama.py#L430
=> this PR unifies the implementations across frameworks | {
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https://api.github.com/repos/huggingface/transformers/issues/28058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28058/comments | https://api.github.com/repos/huggingface/transformers/issues/28058/events | https://github.com/huggingface/transformers/issues/28058 | 2,043,256,422 | I_kwDOCUB6oc55yZ5m | 28,058 | Mixtral: Reduce and Increase Expert Models | {
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"cc @younesbelkada @ArthurZucker ",
"Hi @minato-ellie \r\nThis could makes sense yes, do you know if it has been empirically proven that decreasing the number of experts do not lead in performance degradation? I also wonder if this does not make the HF mixtral implementation \"too modulable\" which goes against t... | 1,702 | 1,702 | null | NONE | null | ### Feature request
Add methods to MixtralSparseMoeBlock, MixtralDecoderLayer, and MixtralModel for reducing (and enlarging) the number of expert models.
Implement a mechanism to decrease the number of expert models by removing corresponding rows in gate weights. This should enable the removal expert models by id... | {
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https://api.github.com/repos/huggingface/transformers/issues/28057 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28057/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28057/comments | https://api.github.com/repos/huggingface/transformers/issues/28057/events | https://github.com/huggingface/transformers/pull/28057 | 2,042,915,548 | PR_kwDOCUB6oc5iEScS | 28,057 | fix ffmpeg_microphone under WSL2 (use pulseaudio) | {
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"cc @Narsil @sanchit-gandhi ",
"Pulse or Also has nothing to do with WSL2. You could use either on regular linux too.\r\n\r\nI think this is the point where this demo should stop trying to support everything that might exist. Giving a good error message when this triggers might be better imo.",
"This issue has ... | 1,702 | 1,708 | 1,708 | NONE | null | # Fix ffmpeg_microphone under WSL2
This attempts to detect if it is running under WSL2 and defaults to using pulseaudio with an input of "RDPSource" in order to work with WSL2.
@Narsil - tagging you since you contributed most of this file. I'm also happy to update this to just accept the format and input as parame... | {
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https://api.github.com/repos/huggingface/transformers/issues/28056 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28056/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28056/comments | https://api.github.com/repos/huggingface/transformers/issues/28056/events | https://github.com/huggingface/transformers/issues/28056 | 2,042,880,695 | I_kwDOCUB6oc55w-K3 | 28,056 | Transformers 4.36 use_cache issue | {
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"Thanks, pinging @gante as well as he worked on the cache refactoring, let’s keep this in mind ",
"Hi @dakinggg \r\nThanks very much for reporting, I believe one of your issue (or maybe both of them!) would be solved with https://github.com/huggingface/transformers/pull/28031\r\nCan you try with transformers main... | 1,702 | 1,707 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.0
- Platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.3.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
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