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https://api.github.com/repos/huggingface/transformers/issues/28960 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28960/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28960/comments | https://api.github.com/repos/huggingface/transformers/issues/28960/events | https://github.com/huggingface/transformers/pull/28960 | 2,128,933,003 | PR_kwDOCUB6oc5mkumP | 28,960 | Translated image_captioning from en to es | {
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"Hi @stevhliu and @gisturiz, yes happy to help🤗. In general is very good, I would comment the following:\r\n\r\n* Using `\"Subtítulos de imagen\"` instead of `\"Subtitulación de Imágenes\"` when translating `\"Image captioning\"`, as it sounds more natural.\r\n* In the same way using `\"el proceso de preprocesamie... | 1,707 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
Translated image_captioning from en to es from issue #28936 began by @stevhliu. I will continue to go through the documentation and make the correct translations.
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https://api.github.com/repos/huggingface/transformers/issues/28959 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28959/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28959/comments | https://api.github.com/repos/huggingface/transformers/issues/28959/events | https://github.com/huggingface/transformers/issues/28959 | 2,128,932,352 | I_kwDOCUB6oc5-5O4A | 28,959 | Misleading ImportError when using JAX tensors without Flax installed | {
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"Would you like to open a PR to have a nicer failure?",
"Sure! I will do it."
] | 1,707 | 1,707 | null | NONE | null | ### System Info
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https://api.github.com/repos/huggingface/transformers/issues/28958 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28958/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28958/comments | https://api.github.com/repos/huggingface/transformers/issues/28958/events | https://github.com/huggingface/transformers/pull/28958 | 2,128,919,760 | PR_kwDOCUB6oc5mkr_k | 28,958 | [Docs] Add video section | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28958). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
Video models deserve their own section in the docs, as they're currently hidden among the dozens of vision models.
cc @stevhliu | {
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] | 1,707 | 1,707 | 1,707 | COLLABORATOR | null | # What does this PR do?
Test that everything works fine | {
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https://api.github.com/repos/huggingface/transformers/issues/28956 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28956/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28956/comments | https://api.github.com/repos/huggingface/transformers/issues/28956/events | https://github.com/huggingface/transformers/issues/28956 | 2,128,828,998 | I_kwDOCUB6oc5-41pG | 28,956 | The Trainer uses all available GPU devices when training but only one when evaluating. | {
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"I'll bump this I have the same issue",
"I haven't had the time to actually look into this properly, but my intuition is that perhaps this is a design choice since evaluating across multiple devices may result in erroneous results (e.g., errors when gathering). That's why I usually use all devices for evaluating ... | 1,707 | 1,708 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.37.2
- Platform: Linux-4.15.0-76-generic-x86_64-with-glibc2.35
- Python version: 3.10.10
- Huggingface_hub version: 0.20.3
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- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.0+cu118 (True)
- Tenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/28955 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28955/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28955/comments | https://api.github.com/repos/huggingface/transformers/issues/28955/events | https://github.com/huggingface/transformers/pull/28955 | 2,128,629,986 | PR_kwDOCUB6oc5mj2D6 | 28,955 | [Docs] Add language identifiers to fenced code blocks | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28955). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR adds missing language identifiers to fenced code blocks to ensure consistent syntax highlighting in the generated documentation.
For example, see the differences between the first and last block when the identifier is missing:
<img width="908" alt="image" src="https://github.com/h... | {
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"Thanks for the great suggestions!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28954). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"> # What does this PR do?\n> \n> This PR ad... | 1,707 | 1,708 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a German translation for the CONTRIBUTING.md.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
Documentation: @stevhliu
Contributors: @flozi00
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"cc @zucchini-nlp ",
"Hey, @Hannibal046 . Thanks for pointing this out! I added a PR to fix this behavior. When it gets merged, you can install `transformers` from `main` to get the correct generation."
] | 1,707 | 1,708 | 1,708 | NONE | null | ### System Info
- `transformers` version: 4.35.0.dev0
- Platform: Linux-5.15.0-1050-azure-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28952). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@amyeroberts I assume the \"build PR documentation\" check is failing but unrelate... | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR adds 2 new classes to the library, `SiglipForImageClassification` and `CLIPForImageClassification`.
This makes it easier to fine-tune SigLIP/CLIP for image classification, as otherwise people had to manually write a class based on SiglipVisionModel/CLIPVisionModel with a head on to... | {
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] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
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"cc @Rocketknight1 @ArthurZucker ",
"Hi @yonigottesman - this would be a useful feature, but how do you plan to implement it?",
"> Hi @yonigottesman - this would be a useful feature, but how do you plan to implement it?\r\n\r\nindeed, great feature!\r\n\r\npossible approach: in `apply_chat_template` how about l... | 1,707 | 1,708 | null | CONTRIBUTOR | null | ### Feature request
when training a chat model I want to ignore labels that are "user" generated and only compute the loss on the "assistant" messages. The `tokenizer.apply_chat_template(c,tokenize=True)` should return a list with 0,1 - 1 marking tokens from a "user" message I can then create the `labels` of this in... | {
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https://api.github.com/repos/huggingface/transformers/issues/28949 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28949/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28949/comments | https://api.github.com/repos/huggingface/transformers/issues/28949/events | https://github.com/huggingface/transformers/pull/28949 | 2,127,940,943 | PR_kwDOCUB6oc5mhiTr | 28,949 | [TPU] Support PyTorch/XLA FSDP via SPMD | {
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"Can HF folks point me on how to add test case in this case and also how to update the documentation?",
"cc @yeounoh @jonb377",
"Tests should be added in the `tests/trainer/test_trainer.py` file. You should find similar tests! ",
"> As @ArthurZucker hinted at, we now don't handle things like this in the train... | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
Summary:
This is the first attempt to enable FSDP via SPMD (FSDPv2) on PyTorch/XLA model.
More information about FSDPv2 can be found here:
1. A user guide: https://github.com/pytorch/xla/blob/master/docs/fsdpv2.md
2. A RFC: https://github.com/pytorch/xla/issues/6379
Besides the initi... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28948). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This fixes a bug from the wrong bias in prediction heads in some situations. The `predictions.bias` needs to be tied to `predictions.decoder.bias` inside `tie_weights()`.
Repro Steps:
1. Sync to HEAD in main
2. Add the following test case to `test_modeling_bert.py` and run it:
```
... | {
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"Hi, I caused the bug. Thanks for catching it! Can confirm this is replicable, very interested in why this wasn't caught in my pull request's CI runs or CI runs after my commit was added.\r\n\r\nCan also confirm that this PR in its current state doesn't undo the improvement to the whisper-v3 loading time that the b... | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This fixes a bug caused by https://github.com/huggingface/transformers/pull/28192#issuecomment-1934913583.
Repro Steps:
1. Sync to HEAD in main
2. Run `python -m pytest tests/models/electra/test_modeling_electra.py`
3. One of the tests fails:
`FAILED tests/models/electra/test_modeling... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28946). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@amyeroberts \r\nCommitted change, thanks!\r\n",
"Thanks Amy!"
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | Placed the correct link in `pretraining_tp` docstring in configuration_llama.py
/auto Closes #28939
/cc @amyeroberts | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28945). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"(and yes we should remove the old `ConversationalPipeline` sooner rather than late... | 1,707 | 1,708 | 1,708 | MEMBER | null | This PR modifies the text generation pipeline to support chats. It does this by inspecting the inputs - if they look like strings, it uses the original causal LM pipeline, and if they look like lists of message dicts, it applies a chat template instead before proceeding with generation.
Most changes are in the prepr... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28944). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I have checked that there were changes to change black to ruff, so I made sure I h... | 1,707 | 1,708 | null | CONTRIBUTOR | null | This PR automatically adds vision models that can be used with the new feature extraction pipeline to a mapping so that their pipeline tag will change.
Note: I only added vision models _and_ the models in which image encoder architecture exists separately (e.g. saw Siglip Vision Model class so I added it) | {
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] | 1,707 | 1,708 | null | COLLABORATOR | null | # What does this PR do?
Benchmark go brrrrrr 🔥
too early to be reviewed
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] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR updates the type annotations on the `neftune_noise_alpha` and `fsdp_config` parameters in `TrainingArguments` to reflect their full range of values. Currently, if one attempts to round-trip a `TrainingArguments` object with a data validation library such as `pydantic`, re-serializatio... | {
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The link https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests in the PR template is pointing to the deleted section. This PR replaces it to the correct one: https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-requ... | {
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When constructing a pipeline from a model, it doesn't inherit the `torch_dtype` attribute from the model's dtype. This causes asymmetry of pipeline and model, as the model always inherit the `torch_dtype` when the pipeline is created with `torch_dtype` param. Sometimes it's a bit confusing th... | {
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https://api.github.com/repos/huggingface/transformers/issues/28938 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28938/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28938/comments | https://api.github.com/repos/huggingface/transformers/issues/28938/events | https://github.com/huggingface/transformers/issues/28938 | 2,126,827,214 | I_kwDOCUB6oc5-xM7O | 28,938 | Evaluation loop breaks after a certain number of samples | {
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"Hi @megiandoni, thanks for raising an issue! \r\n\r\nSo that we can best help you could you please: \r\n* Provide information about the running environment: run `transformers-cli env` in the terminal and copy-paste the output\r\n* Provide a minimal code snippet to reproduce the error? At the moment, important info... | 1,707 | 1,708 | null | NONE | null | Hi everyone,
I'm using the Trainer (and SFT Trainer, I get the error with both) to finetune/evaluate on gsm8k. Training works well enough but evaluation stops after 100-200 out of 1300 samples and I get no error. The rest of the code simply doesn't run.
I tried setting eval_accumulations_steps and per_eval_batch_s... | {
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https://api.github.com/repos/huggingface/transformers/issues/28937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28937/comments | https://api.github.com/repos/huggingface/transformers/issues/28937/events | https://github.com/huggingface/transformers/pull/28937 | 2,126,532,214 | PR_kwDOCUB6oc5mcu72 | 28,937 | Fix static generation when compiling! | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28937). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I'm not sure adding a new argument `cache_position` to the forward call of the mod... | 1,707 | 1,707 | 1,707 | COLLABORATOR | null | # What does this PR do?
Fixes the static cache generation. Comes with #27931
thanks @OlivierDehaene for the insight
https://gist.github.com/ArthurZucker/ae0a86ef8f841c0ef69aaa52ccbc0b03 benchmark
- fixes issue with FlashAttention: when the cache is padded you need the full attention mask, otherwise generati... | {
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https://api.github.com/repos/huggingface/transformers/issues/28936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28936/comments | https://api.github.com/repos/huggingface/transformers/issues/28936/events | https://github.com/huggingface/transformers/issues/28936 | 2,126,161,751 | I_kwDOCUB6oc5-uqdX | 28,936 | [i18n-es] Translating docs to Spanish | {
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"Happy to help, I can begin with the 4 files under Multimodal",
"Hey @stevhliu, I would love to translate chat_templating.md, trainer.md, and torchscript.md under Developer guides to Spanish.",
"Awesome! Thanks for your interest, I've assigned those docs to you. Happy translating! 🤗 \r\n\r\nWould it be ok with... | 1,707 | 1,708 | null | MEMBER | null | Hi!
Let's bring the documentation to all the Spanish-speaking community 🌐
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md). Here is a list of the files ready for translation. Let us know in this issue if you'd like t... | {
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https://api.github.com/repos/huggingface/transformers/issues/28935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28935/comments | https://api.github.com/repos/huggingface/transformers/issues/28935/events | https://github.com/huggingface/transformers/issues/28935 | 2,126,135,649 | I_kwDOCUB6oc5-ukFh | 28,935 | Add support for prefix_allowed_tokens_fn to maintain a state throughout decoding | {
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"cc @gante ",
"Hi @John-Boccio 👋 \r\n\r\nWe don't need `transformers` changes to enable your request :D You can parameterize an arbitrary function with a mutable input and use that mutable input as the state in your `prefix_allowed_tokens_fn`.\r\n\r\nHere's an example of how to create a function with state:\r\n`... | 1,707 | 1,707 | null | NONE | null | ### Feature request
Add an optional argument in `prefix_allow_tokens_fn` to allow for state to maintained throughout decoding or add a stateful alternative to `prefix_allowed_tokens_fn`.
### Motivation
`prefix_allowed_tokens_fn` is great but has one major downfall which is that you cannot maintain a state throughout... | {
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https://api.github.com/repos/huggingface/transformers/issues/28934 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28934/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28934/comments | https://api.github.com/repos/huggingface/transformers/issues/28934/events | https://github.com/huggingface/transformers/issues/28934 | 2,126,008,914 | I_kwDOCUB6oc5-uFJS | 28,934 | Cannot load transformer model from hugging face in remote server | {
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"* are you using the library inside a docker container ? \r\n* do you have a `https_proxy` or a `HTTPS_PROXY` envirenmental variables set ?\r\n* which python version of `urllib3` are you using\r\n* do you have VPN enabled ? ",
"@not-lain \r\n\r\n- it's not inside docker, just a vent\r\n- I have a http_proxy set ... | 1,707 | 1,708 | 1,708 | NONE | null | ### System Info
`transformers` version: 4.37.2
- Platform: Linux-5.15.0-92-generic-x86_64-with-glibc2.31
- Python version: 3.11.7
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0+cu121 (True)
- Tensorf... | {
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https://api.github.com/repos/huggingface/transformers/issues/28939 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28939/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28939/comments | https://api.github.com/repos/huggingface/transformers/issues/28939/events | https://github.com/huggingface/transformers/issues/28939 | 2,126,954,797 | I_kwDOCUB6oc5-xsEt | 28,939 | [Broken link] Link not working in LLaMA-2 pretraining_tp doc | {
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"transferring you to the transformers repo instead!",
"@AdityaKane2001 Indeed! Thanks for flagging this. Would you like to open a PR to fix this? This way you get the github contribution. ",
"Sure"
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | The `this document` link on [LLaMA2 doc page](https://huggingface.co/docs/transformers/model_doc/llama2#transformers.LlamaConfig.pretraining_tp) does not work. | {
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https://api.github.com/repos/huggingface/transformers/issues/28933 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28933/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28933/comments | https://api.github.com/repos/huggingface/transformers/issues/28933/events | https://github.com/huggingface/transformers/pull/28933 | 2,125,959,348 | PR_kwDOCUB6oc5mazdp | 28,933 | [i18n-de] Translate README.md to German | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28933). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I don't know anyone in particular, I'm afraid.\r\n\r\nMaybe @flozi00 can help me s... | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a German translation for the README.md.
The text is written in accordance with the [translation guidelines](https://github.com/huggingface/course/blob/main/chapters/de/TRANSLATING.txt) of the German Hugging Face course, and translations for technical terms are taken from the cor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28932 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28932/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28932/comments | https://api.github.com/repos/huggingface/transformers/issues/28932/events | https://github.com/huggingface/transformers/pull/28932 | 2,125,755,227 | PR_kwDOCUB6oc5maGXC | 28,932 | Terminator strings for generate() | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28932). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@Rocketknight1 , hey! I liked the feature, a very useful one I think. Just a coupl... | 1,707 | 1,708 | null | MEMBER | null | `generate()` stops when it encounters `eos_token_id`, but there are various circumstances when we want it to stop for other tokens too. The ideal situation would be to allow a set of strings that halts generation, and then include this information with the model, so model authors can set e.g. custom tokens like `<|im_e... | {
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https://api.github.com/repos/huggingface/transformers/issues/28931 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28931/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28931/comments | https://api.github.com/repos/huggingface/transformers/issues/28931/events | https://github.com/huggingface/transformers/pull/28931 | 2,125,652,215 | PR_kwDOCUB6oc5mZvWg | 28,931 | [Whisper] Use Attention Cache | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28931). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I have a fully functional working solution for static shaped Whisper, which we hav... | 1,707 | 1,707 | null | CONTRIBUTOR | null | # What does this PR do?
Refactors the Whisper model to use the attention cache abstraction proposed in #26681. This is required to have consistency with the `StaticCache` attention class proposed in #27931.
The complexity with the current `Cache` abstraction comes from the fact that Whisper is an encoder-decoder ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28930 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28930/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28930/comments | https://api.github.com/repos/huggingface/transformers/issues/28930/events | https://github.com/huggingface/transformers/pull/28930 | 2,125,515,291 | PR_kwDOCUB6oc5mZRHl | 28,930 | Tests: tag `test_save_load_fast_init_from_base` as flaky | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28930). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"> no matter what the text is put I will accept :-)\r\n\r\n@ydshieh \r\n\r\n```\r\... | 1,707 | 1,707 | 1,707 | MEMBER | null | # What does this PR do?
As discussed [internally on slack](https://huggingface.slack.com/archives/C01NE71C4F7/p1707407250079089) with @ydshieh -- this test is known to be flaky for a while. | {
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"Hi @yuragenetika, thanks for raising this issue! \r\n\r\nIn order for you to be able to use your custom class in pipelines, you have to register it with its corresponding auto class, such that the following would load your model:\r\n\r\n```py\r\nfrom transformers import AutoModelForImageClassification\r\n\r\nmodel... | 1,707 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.37.2
- Platform: macOS-14.2.1-arm64-arm-64bit
- Python version: 3.11.7
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0 (False)
- Tensorflow version (GPU?): not... | {
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https://api.github.com/repos/huggingface/transformers/issues/28928 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28928/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28928/comments | https://api.github.com/repos/huggingface/transformers/issues/28928/events | https://github.com/huggingface/transformers/pull/28928 | 2,125,380,442 | PR_kwDOCUB6oc5mYyzU | 28,928 | AQLM quantizer support | {
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"A model to test it: [BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x16-hf-test-dispatch](https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x16-hf-test-dispatch)",
"A Google Colab demo: [Mixtral in 2 bits](https://colab.research.google.com/drive/1-xZmBRXT5Fm3Ghn4Mwa2KRypORXb855X?usp=sharing).",
"The docs for t... | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28927 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28927/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28927/comments | https://api.github.com/repos/huggingface/transformers/issues/28927/events | https://github.com/huggingface/transformers/pull/28927 | 2,125,311,162 | PR_kwDOCUB6oc5mYjh- | 28,927 | pass kwargs in stopping criteria list | {
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"@zucchini-nlp Thanks for opening this PR! Can you provide some more context on why this is necessary? Passing around kwargs is a behaviour we try to avoid if possible. ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28927). All of your documentation changes will be r... | 1,707 | 1,707 | 1,707 | MEMBER | null | # What does this PR do?
This PR passes kwargs to each criteria when calling `StoppingCriteriaList`.
## 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/transforme... | {
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https://api.github.com/repos/huggingface/transformers/issues/28926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28926/comments | https://api.github.com/repos/huggingface/transformers/issues/28926/events | https://github.com/huggingface/transformers/pull/28926 | 2,125,199,850 | PR_kwDOCUB6oc5mYLBY | 28,926 | Remove dead TF loading code | {
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"I don't think those are major concerns - they're not in the public API, so the only way to exploit that code would be to get users to run those scripts manually. In general, I think `pickle.load` is fine in:\r\n\r\n- The test suite\r\n- Conversion scripts like these\r\n- Scripts and examples\r\n\r\nIn all of those... | 1,707 | 1,707 | 1,707 | MEMBER | null | This PR removes the dead `load_repo_checkpoint` method which as far as I know is unsupported and unused anywhere. This was discussed on Slack and because it's a potential security vulnerability and we don't even know what it could be used for anymore, we decided no deprecation cycle was needed | {
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https://api.github.com/repos/huggingface/transformers/issues/28925 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28925/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28925/comments | https://api.github.com/repos/huggingface/transformers/issues/28925/events | https://github.com/huggingface/transformers/issues/28925 | 2,125,098,272 | I_kwDOCUB6oc5-qm0g | 28,925 | Starcoder has higher eval loss with flash attention 2 | {
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"Hi @lidingsnyk, thanks for raising this issue! \r\n\r\nThere was a similar issue posted - #28891, which was resolved. Could you try [installing from source](https://huggingface.co/docs/transformers/en/installation#install-from-source) to confirm if this resolves your issue? ",
"Thanks a lot @amyeroberts . Indeed... | 1,707 | 1,707 | 1,707 | NONE | null | ### System Info
transformers version: 4.36.2
flash-attn: 2.5.2 `flash_attn-2.5.2+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64`
Platform: linux_x86_64 cp310 ubuntu-22.04
Python version: 3.10
Huggingface_hub version: 0.20.3
Safetensors version: 0.4.2
Accelerate version: 0.26.1
Accelerate config: not foun... | {
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https://api.github.com/repos/huggingface/transformers/issues/28924 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28924/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28924/comments | https://api.github.com/repos/huggingface/transformers/issues/28924/events | https://github.com/huggingface/transformers/issues/28924 | 2,124,811,095 | I_kwDOCUB6oc5-pgtX | 28,924 | How to disable log history from getting printed every logging_steps | {
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"Hi, 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.",
"@amyeroberts Totally makes sense! Will close with a comment! \r\n\r\nIn case anyone else comes searching for it in... | 1,707 | 1,707 | 1,707 | NONE | null | I'm writing a custom ProgressCallback that modifies the original ProgressCallback transformers implementation and adds some additional information/data to the tqdm progress bar. Here's what I have so far, and it works nicely and as intended.
```python
class ProgressCallback(TrainerCallback):
"""A [`TrainerCall... | {
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https://api.github.com/repos/huggingface/transformers/issues/28923 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28923/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28923/comments | https://api.github.com/repos/huggingface/transformers/issues/28923/events | https://github.com/huggingface/transformers/pull/28923 | 2,124,744,848 | PR_kwDOCUB6oc5mWmAi | 28,923 | Fix flaky test vision encoder-decoder generate | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28923). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | MEMBER | null | # What does this PR do?
Fixes #28841. I could not exactly reproduce the failing test, but the issue seems to be the `EOS` stopping generation earlier than it reaches max_length.
Before adding the fix I checked that `EOS` was indeed indicated in the generation_config as not `None`.
## Before submitting
- [ ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28922 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28922/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28922/comments | https://api.github.com/repos/huggingface/transformers/issues/28922/events | https://github.com/huggingface/transformers/issues/28922 | 2,124,492,473 | I_kwDOCUB6oc5-oS65 | 28,922 | Model doesn't generate output of prefix_allowed_tokens_fn. | {
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"Hi @Chanwhistle, thanks for opening this issue! \r\n\r\nIn terms of reproduction, could you provide a minimal code snippet which reproduces the error? We get many issues and requests per day, so that we can address them in a timely manner, we need you to help us help you 🤗 \r\n\r\ncc @gante ",
"Thank you!\r\n\r... | 1,707 | 1,707 | null | NONE | null | ### System Info
Hi, I use constrained decoding with prefix_allowed_tokens_fn.([GENRE github](https://github.com/facebookresearch/GENRE))
However, if prefix_allowed_tokens_fn function returns specific token like [1437],
model generate other tokens like [0] or [16] ...etc
For example
input_sent = [35524, 646]
... | {
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https://api.github.com/repos/huggingface/transformers/issues/28921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28921/comments | https://api.github.com/repos/huggingface/transformers/issues/28921/events | https://github.com/huggingface/transformers/issues/28921 | 2,124,236,887 | I_kwDOCUB6oc5-nUhX | 28,921 | Trainer only saves model in FP16 when using mixed precision together with DeepSpeed | {
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"Hello @andstor, \r\n\r\nThe model is saved in the selected half-precision when using mixed-precision training, i.e., `fp16` if mixed-precision is using `fp16` else `bf16` if mixed-precision is using `bf16`. Earlier there was logic to convert the state_dict to FP32 but users complained about the increase in the ckp... | 1,707 | 1,707 | null | CONTRIBUTOR | null | Normally when saving a model using the Trainer class, the `dtype` of the saved model is (and should be) the same as the original model. This is also true when using mixed precision, and when using DeepSpeed. However, when using mixed precision **together** with DeepSpeed, the output is in float16 no matter the model in... | {
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https://api.github.com/repos/huggingface/transformers/issues/28920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28920/comments | https://api.github.com/repos/huggingface/transformers/issues/28920/events | https://github.com/huggingface/transformers/pull/28920 | 2,124,230,644 | PR_kwDOCUB6oc5mU3mY | 28,920 | Set the dataset format used by `test_trainer` to float32 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28920). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"cc @amyeroberts "
] | 1,707 | 1,707 | 1,707 | 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/28919 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28919/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28919/comments | https://api.github.com/repos/huggingface/transformers/issues/28919/events | https://github.com/huggingface/transformers/issues/28919 | 2,124,224,877 | I_kwDOCUB6oc5-nRlt | 28,919 | dependency issue when working with a custom architecture in a repo that has a dot in its name | {
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"cc @Rocketknight1 I can do it if you are low on bandwidth! Think it makes sense as a lot of models have `2.5B` or such names! ",
"I can take this one, I think!",
"to anyone reading this in the future: \r\nI found a work around this, **if you cannot rename your repo and remove the dot from its name**, you can f... | 1,707 | 1,707 | null | CONTRIBUTOR | 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: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (False)
- Tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/28918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28918/comments | https://api.github.com/repos/huggingface/transformers/issues/28918/events | https://github.com/huggingface/transformers/pull/28918 | 2,124,095,961 | PR_kwDOCUB6oc5mUadM | 28,918 | [Docs] Fix broken links and syntax issues | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28918). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes various external links that were broken due to syntax issues and updates several section links that specified incorrect anchor names.
It also corrects some comment tags and misspelled headings.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28917/comments | https://api.github.com/repos/huggingface/transformers/issues/28917/events | https://github.com/huggingface/transformers/issues/28917 | 2,124,048,477 | I_kwDOCUB6oc5-mmhd | 28,917 | Add Flash Attention 2 support for Flan-T5 | {
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"The main Flash Attention 2 discussion tracking issue and discussion seems to be https://github.com/huggingface/transformers/issues/26350"
] | 1,707 | 1,708 | null | NONE | null | ### Feature request
Add Flash Attention 2 support for Flan-T5
### Motivation
```
loading weights file model.safetensors from cache at /pretrained/models--google--flan-t5-large/snapshots/0613663d0d48ea86ba8cb3d7a44f0f65dc596a2a/model.safetensors
Instantiating T5ForConditionalGeneration model under default dtype tor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28916/comments | https://api.github.com/repos/huggingface/transformers/issues/28916/events | https://github.com/huggingface/transformers/issues/28916 | 2,123,687,789 | I_kwDOCUB6oc5-lOdt | 28,916 | Whisper Fine-Tuning significantly slower on multiple GPUs | {
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"followers_url": "https://api.github.com/... | [] | open | false | null | [] | [] | 1,707 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.37.2
- Platform: Linux-5.15.0-92-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0+cu121 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28915/comments | https://api.github.com/repos/huggingface/transformers/issues/28915/events | https://github.com/huggingface/transformers/issues/28915 | 2,123,652,716 | I_kwDOCUB6oc5-lF5s | 28,915 | Implement SWA (Sliding Window Attention) for Llama-2 7B | {
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"Hey! This can be easily done with a custom `SlidingWindowLlamaAttention` that you register to the `LLAMA_ATTENTION_CLASSES` 😉 ",
"Hey @ArthurZucker,\r\n\r\nDo you think this feature is actually useful? If we just replace the standard attention with SWA as a drop-in replacement, without any finetuning; won't the... | 1,707 | 1,707 | 1,707 | NONE | null | ### Feature request
Hi,
I have access to Llama-2 7B weights and am wondering how to write a wrapper which replaces the standard vanilla attention (or Grouped Attention) present in Llama-2 to SWA (as explained in Longformer (https://arxiv.org/abs/2004.05150v2) and implemented in Mistral-7B - https://github.com/mistr... | {
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https://api.github.com/repos/huggingface/transformers/issues/28914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28914/comments | https://api.github.com/repos/huggingface/transformers/issues/28914/events | https://github.com/huggingface/transformers/issues/28914 | 2,123,613,598 | I_kwDOCUB6oc5-k8We | 28,914 | Observed_masks not behaving as expected | {
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"Sorry, wrong mueller. Can't really help you😄 But thanks for suggesting me!",
"Oops, sorry. I hope I fixed it now.",
"cc @niels as well 🤗 ",
"Hi @dparr005, thanks for opening this issue! \r\n\r\nCould you share a minimal code snippet to reproduce the error? \r\n\r\ncc @kashif \r\n\r\n",
"checking thanks!"... | 1,707 | 1,708 | null | NONE | null | ### System Info
compute_environment: LOCAL_MACHINE
deepspeed_config: {}
distributed_type: MULTI_GPU
fsdp_config: {}
machine_rank: 0
main_process_ip: null
main_process_port: null
main_training_function: main
mixed_precision: fp16
num_machines: 1
num_processes: 4
use_cpu: false
### Who can help?
@pacm... | {
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https://api.github.com/repos/huggingface/transformers/issues/28913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28913/comments | https://api.github.com/repos/huggingface/transformers/issues/28913/events | https://github.com/huggingface/transformers/pull/28913 | 2,123,559,161 | PR_kwDOCUB6oc5mSlB7 | 28,913 | [Docs] Fix placement of tilde character | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28913). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Force pushed since tests were not running."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the placement of the tilde character in examples for the internal link syntax.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
Documentation: @stevhliu | {
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https://api.github.com/repos/huggingface/transformers/issues/28912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28912/comments | https://api.github.com/repos/huggingface/transformers/issues/28912/events | https://github.com/huggingface/transformers/pull/28912 | 2,123,538,918 | PR_kwDOCUB6oc5mSgnd | 28,912 | [Docs] Revert translation of '@slow' decorator | {
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This PR reverts the accidental translation of the '@<!-- -->slow' decorator to '@<!-- -->langsam' in the German documentation. | {
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https://api.github.com/repos/huggingface/transformers/issues/28911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28911/comments | https://api.github.com/repos/huggingface/transformers/issues/28911/events | https://github.com/huggingface/transformers/issues/28911 | 2,123,503,943 | I_kwDOCUB6oc5-khlH | 28,911 | T5 fine-tuning `.generate()` issue | {
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"This the error : \"/opt/omniai/software/Miniconda/lib/python3.8/site-packages/transformers/generation/utils.py in _validate_model_class(self)\r\n 1063 if generate_compatible_classes:\r\n 1064 exception_message += f\" Please use one of the following classes instead: {generate_compati... | 1,707 | 1,707 | null | NONE | null | ### System Info
```shell
i am trying to create own T5 fine-tuner but i get "TypeError: The current model class (ALGORITHMIAT5) is not compatible with `.generate()`, as it doesn't have a language model head."
```
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An of... | {
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https://api.github.com/repos/huggingface/transformers/issues/28910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28910/comments | https://api.github.com/repos/huggingface/transformers/issues/28910/events | https://github.com/huggingface/transformers/pull/28910 | 2,123,387,940 | PR_kwDOCUB6oc5mR_x_ | 28,910 | Fix links in README translations for Llama2 Models | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28910). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | null | CONTRIBUTOR | null | # What does this PR do?
Following the fixes on the #26640 PR, we should fix those same links in the translations for each README file.
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
Anyone in the community is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28909/comments | https://api.github.com/repos/huggingface/transformers/issues/28909/events | https://github.com/huggingface/transformers/issues/28909 | 2,123,281,779 | I_kwDOCUB6oc5-jrVz | 28,909 | Potential error for llava generation | {
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"In transformers the input ids cannot be negative 😉 ",
"However, I have experienced the negative input ids for the batch-generating text",
"Can you share a reproducer? 🤗 "
] | 1,707 | 1,707 | null | NONE | null | https://github.com/huggingface/transformers/blame/abf8f54a019ce14b5eaffa68c6dd883be13fe66e/src/transformers/models/llava/modeling_llava.py#L412
This line has potentially critical bug when they do not exist such that input_ids has -100 index unexpectedly.
Therefore I edit that part
![image](https://github.com/h... | {
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https://api.github.com/repos/huggingface/transformers/issues/28908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28908/comments | https://api.github.com/repos/huggingface/transformers/issues/28908/events | https://github.com/huggingface/transformers/issues/28908 | 2,123,230,114 | I_kwDOCUB6oc5-jeui | 28,908 | Add MistralForQuestionAnswering | {
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Add a MistralForQuestionAnswering class to the [modeling_mistral.py](https://github.com/huggingface/transformers/blob/main/src/transformers/models/mistral/modeling_mistral.py) so Mistral models have AutoModelForQuestionAnswering support (by also adding Mistral models to the MODEL_FOR_QUESTION_ANSWE... | {
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https://api.github.com/repos/huggingface/transformers/issues/28907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28907/comments | https://api.github.com/repos/huggingface/transformers/issues/28907/events | https://github.com/huggingface/transformers/issues/28907 | 2,123,081,563 | I_kwDOCUB6oc5-i6db | 28,907 | wrongly annotated configuration when saving a model that has a custom pipeline | {
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"to understand more about this try checking these 2 checkpoints\r\n```python\r\n# checkpoint that doesn't have a custom pipeline\r\nmodel_without_custom_pipeline = AutoModelForImageClassification.from_pretrained(\"not-lain/MyRepo\", trust_remote_code=True, revision=\"dba8d15072d743b6cb4a707246f801699897fb72\")\r\nm... | 1,707 | 1,707 | null | CONTRIBUTOR | 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: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (False)
- Tensorfl... | {
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https://api.github.com/repos/huggingface/transformers/issues/28906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28906/comments | https://api.github.com/repos/huggingface/transformers/issues/28906/events | https://github.com/huggingface/transformers/issues/28906 | 2,122,875,914 | I_kwDOCUB6oc5-iIQK | 28,906 | -inf scores when generating with do_sample | {
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"Hi @fColangelo 👋 \r\n\r\nThat happens because `top_k` sets the scores of all but the `top_k` most likely tokens to `-inf` (50 in your case). If you want the model logits, and not the post-processed scores before sampling, have a look at this feature that is about to get merged: https://github.com/huggingface/tran... | 1,707 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.37.1
- Platform: Linux-5.4.0-169-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 1.14.0a0+44dac51 (True)
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/28905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28905/comments | https://api.github.com/repos/huggingface/transformers/issues/28905/events | https://github.com/huggingface/transformers/pull/28905 | 2,122,615,566 | PR_kwDOCUB6oc5mPXLn | 28,905 | Update the cache number | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28905). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Yes, I thought changing cache number will fix all, but unfortunately no. There are... | 1,707 | 1,707 | 1,707 | COLLABORATOR | null | # What does this PR do?
To git rid of the issues comes from torch stuff (torch vs torchaudio versions).
See #28899 | {
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https://api.github.com/repos/huggingface/transformers/issues/28904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28904/comments | https://api.github.com/repos/huggingface/transformers/issues/28904/events | https://github.com/huggingface/transformers/issues/28904 | 2,122,218,958 | I_kwDOCUB6oc5-fn3O | 28,904 | `trainer.train()` cannot rename a folder when run in Jupyter Notebook on Conda on Windows | {
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"cc @muellerzr ",
"@kwon0408 please update your transformers version, this was fixed in the next patch that was released ~1 week ago"
] | 1,707 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.37.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.11.7
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.3.3
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0 (True)
- Tensorflow version (GPU?): not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/28903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28903/comments | https://api.github.com/repos/huggingface/transformers/issues/28903/events | https://github.com/huggingface/transformers/issues/28903 | 2,121,826,350 | I_kwDOCUB6oc5-eIAu | 28,903 | Mistral with flash attention cannot return `attention_weights` | {
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"Hi @Junyoungpark \r\nDue to the fact the returned attention might not be correct (e.g.: https://github.com/Dao-AILab/flash-attention/blob/61a777247900f6c2a37376f3ffd7134385fdc95c/flash_attn/flash_attn_interface.py#L668) unfortunately we had to force-disable `output_attention` to `False` for all FA-2 models. We can... | 1,707 | 1,707 | null | NONE | null | Hi all,
I’ve discovered that Mistral models with flash attention cannot return attention_weights due to a reference error. I anticipate that we can address this issue by passing `return_attn_probs=True` to the flash attention API, but there’s still some uncertainty. It appears that `flash_attn_func` can return the `... | {
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https://api.github.com/repos/huggingface/transformers/issues/28902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28902/comments | https://api.github.com/repos/huggingface/transformers/issues/28902/events | https://github.com/huggingface/transformers/issues/28902 | 2,121,504,616 | I_kwDOCUB6oc5-c5do | 28,902 | Small Bug in Encoder Implementation | {
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"Got and error when tried to pass embeddings \r\n\r\noutput = encoder(embeddings)\r\n",
"Hi @manoja328 \r\nThanks for the issue! This is I think expected as this class is not meant to be used as a standalone class, `head_mask` is automatically created as a list of `None` here: https://github.com/huggingface/trans... | 1,707 | 1,707 | null | NONE | null | ### System Info
any version , latest version
### Who can help?
@ArthurZucker @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, ...)
- [x] My own task or dataset (give details... | {
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https://api.github.com/repos/huggingface/transformers/issues/28901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28901/comments | https://api.github.com/repos/huggingface/transformers/issues/28901/events | https://github.com/huggingface/transformers/pull/28901 | 2,121,446,216 | PR_kwDOCUB6oc5mLddv | 28,901 | Add custom loss to Informer | {
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"Hey! Thanks for opening the PR, we try to leave things such as custom loss computation to the user (not providing the labels should do the trick) 🤗 "
] | 1,707 | 1,707 | 1,707 | NONE | null | # What does this PR do?
This PR adds a custom loss capability to the informer configuration and the informer model.
Currently, there is also the ability to specify an `nll` loss, but any loss of type `Callable[[torch.distributions.Distribution, torch.Tensor, float], torch.Tensor]` can be used.
## Before submitti... | {
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https://api.github.com/repos/huggingface/transformers/issues/28900 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28900/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28900/comments | https://api.github.com/repos/huggingface/transformers/issues/28900/events | https://github.com/huggingface/transformers/issues/28900 | 2,121,262,222 | I_kwDOCUB6oc5-b-SO | 28,900 | BertTokenizer and BertTokenizerFast have different behavior when requested "return_overflowing_tokens" | {
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"Hey! Thanks for opening this issue. Would you like to dive in this and open a PR for a fix? It might be a known bug + overflowing tokens are not supported on all slow tokenizer. The fast is probably right behaviour",
"I don't know what is the correct behaviour. You can get the overflowing tokens from both tokeni... | 1,707 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.37.2
- Platform: Linux-6.5.5-arch1-1-x86_64-with-glibc2.38
- Python version: 3.11.5
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0+cu121 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28899/comments | https://api.github.com/repos/huggingface/transformers/issues/28899/events | https://github.com/huggingface/transformers/pull/28899 | 2,121,255,630 | PR_kwDOCUB6oc5mKz2d | 28,899 | Hotfix - make `torchaudio` get the correct version in `torch_and_flax_job` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28899). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | COLLABORATOR | null | # What does this PR do?
Apply one more hot fix to make the torchaudio get's the correct version .
(failing job run [here](https://app.circleci.com/pipelines/github/huggingface/transformers/83910/workflows/023ecc92-20eb-44b5-8f09-98f3d9459f53/jobs/1083262))
(not identified on the previous PR, because of the cac... | {
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https://api.github.com/repos/huggingface/transformers/issues/28898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28898/comments | https://api.github.com/repos/huggingface/transformers/issues/28898/events | https://github.com/huggingface/transformers/pull/28898 | 2,121,077,734 | PR_kwDOCUB6oc5mKMXa | 28,898 | Revert "[WIP] Hard error when ignoring tensors." | {
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"The failing will disappear after the unpin torch PR is merged",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28898). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"cc @Narsil and ... | 1,707 | 1,707 | 1,707 | COLLABORATOR | null | Reverts huggingface/transformers#27484
Causing failing in TF/Flax vs torch equivalence tests
https://app.circleci.com/pipelines/github/huggingface/transformers/83829/workflows/a864e1cf-46bc-4643-9a2f-9ba65ee7074e
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https://api.github.com/repos/huggingface/transformers/issues/28897 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28897/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28897/comments | https://api.github.com/repos/huggingface/transformers/issues/28897/events | https://github.com/huggingface/transformers/pull/28897 | 2,120,968,166 | PR_kwDOCUB6oc5mJ0bs | 28,897 | Mask Generation Task Guide | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28897). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@MKhalusova thanks, I addressed your comments I think",
"@ArthurZucker please ta... | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | Added mask generation task guide. | {
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https://api.github.com/repos/huggingface/transformers/issues/28896 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28896/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28896/comments | https://api.github.com/repos/huggingface/transformers/issues/28896/events | https://github.com/huggingface/transformers/issues/28896 | 2,120,965,767 | I_kwDOCUB6oc5-a16H | 28,896 | ValueError is raised when `num_return_sequences > num_beams` even if `do_sample` is True | {
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"I personally don't think this is a bug but rather a correct behavior because this error is only triggered when the param `num_beams` is set, which means the user either opt `beam search` or `beam sample`. Both the two sampling methods only keep `num_beams` candidate during searching so they really can not return m... | 1,707 | 1,707 | null | NONE | null | ### System Info
In [configuration_utils.py](https://github.com/huggingface/transformers/blob/main/src/transformers/generation/configuration_utils.py#L506) an error is raised if `num_return_sequences > num_beams`, but I think that this error should be raised only when do_sample is False. This is because in [utils.py](h... | {
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https://api.github.com/repos/huggingface/transformers/issues/28895 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28895/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28895/comments | https://api.github.com/repos/huggingface/transformers/issues/28895/events | https://github.com/huggingface/transformers/pull/28895 | 2,120,954,065 | PR_kwDOCUB6oc5mJxaT | 28,895 | Fix Keras scheduler import so it works for older versions of Keras | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28895). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | MEMBER | null | See bug report [here](https://github.com/huggingface/transformers/pull/28588#issuecomment-1924842630)
This one caught me out - we used to import from `tf.keras.optimizers.schedules`, which worked on older versions of Keras. However, as part of the Keras 3 compatibility patch, we moved all `tf.keras` imports to `kera... | {
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"sounds like a good idea to more clearly throw `huggingface_hub` specific errors",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28894). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
... | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | When a `GatedRepoError` error is raised while accessing a file, `transformers` catches the error to set a custom message inside a `EnvironmentError` (i.e. OSError) exception. This can be confusing since the underlying error (the `GatedRepoError`) contains more information on why the model cannot be accessed. Even thoug... | {
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"cc @NielsRogge maybe padding? ",
"Seems to be the same problem as #28153 ",
"@erickrf #28153 has now been merged into main. Could you install from source and retry? ",
" I managed to install from source, but to do this, I had to:\r\n- upgrade mlflow to 2.10.2\r\n- upgrade torch to 2.20 to avoid having this e... | 1,707 | 1,708 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.133+-x86_64-with-glibc2.35
- Python version: 3.10.10
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensorflow ve... | {
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"Let's see what CI says.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28892). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"The failing tests are already on `main`. I have no id... | 1,707 | 1,707 | 1,707 | COLLABORATOR | null | # What does this PR do?
So we can use torch 2.2 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28891). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/28889
With this PR, SDPA and FA2 gives almost similar outputs:
1. Code from the above issue:
```
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
... | {
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"FYI @ylacombe ",
"Hey @sourabharsh, I'd be happy to help you understand how to do that. Have you checked the difference between the input `history_prompt` that you get with the processor and the output `history_prompt` that you get with your code ? "
] | 1,707 | 1,708 | null | NONE | null | ### Feature request
Hi,
I have noticed that the original implementation of Bark (https://github.com/suno-ai/bark) has added a feature where one can get the history_prompt for the audio being currently generated using the parameter output_full.
history_prompt, out_arr = generate_audio(text_prompt, output_full=True... | {
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"cc @younesbelkada and unsubscribing myself",
"Hello, the above PR should resolve this issue.",
"Wow! Thanks for your quick response and fix!"
] | 1,707 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.37.2
- Platform: Linux-5.15.0-26-generic-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- PyTorch version (GPU?): 2.2.0+cu121 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/... | {
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"use device directly in `torch.ones`. Let me know if you insist to use torch full",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28888). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
... | 1,707 | 1,707 | 1,707 | COLLABORATOR | null | # What does this PR do?
- There is device issue on GPU.
- There is low level (C++) issue with torch 2.2 (we have to report to torch team)
- Skip this `FastSpeech2ConformerModelTest` on CPU.
- (It is still tested on GPU, and it pass)
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28887). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@amyeroberts or @ArthurZucker Hi, PR is ready to review",
"@amyeroberts it shoul... | 1,707 | 1,707 | 1,707 | MEMBER | null | # What does this PR do?
This PR addresses [issue #28763 ](https://github.com/huggingface/transformers/issues/28763). The requested feature already work out of the box, I just made it explicit and added one line in the docs.
The changes were tested with `pytest -k generate_input tests/generation/test_utils.py`
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"Hey 🤗 thanks for opening an issue! We try to keep the github issues for bugs/feature requests! The example scrips should be adapted to each's use case, and I suppose that is what you did. As such I would recommend 2 things:\r\n- ask your question on the [forum](https://discuss.huggingface.co/) \r\n- track the w... | 1,707 | 1,707 | null | NONE | null | ### System Info
everything necessary for the operation of the program
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28885). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28884 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28884/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28884/comments | https://api.github.com/repos/huggingface/transformers/issues/28884/events | https://github.com/huggingface/transformers/pull/28884 | 2,119,990,836 | PR_kwDOCUB6oc5mGeLq | 28,884 | fix: Fixed the documentation for `logging_first_step` by removing "evaluate" | {
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"Hey, @ArthurZucker. Can you look into this?\r\nThank you.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28884). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
Document says that [logging_first_step](https://huggingface.co/docs/transformers/main_classes/trainer#transformers.TrainingArguments.logging_first_step) will evaluate on the first global_step. But it only logs on the first step, not evaluate.
Fixes #27902
## Before submitting
- [x] Thi... | {
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https://api.github.com/repos/huggingface/transformers/issues/28883 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28883/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28883/comments | https://api.github.com/repos/huggingface/transformers/issues/28883/events | https://github.com/huggingface/transformers/pull/28883 | 2,119,931,096 | PR_kwDOCUB6oc5mGRUK | 28,883 | fix: torch.int32 instead of torch.torch.int32 | {
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"@ArthurZucker it's gonna be great if you could take a look if you have time.",
" torch.torch.int32 is a redundant type hint indicating that both the first torch refers to the PyTorch library and the second torch refers to the int32 data type within that library. The actual conversion to int32 happens within tor... | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
Hi transformers newbie here. When reading the model codes, I found there might be a minor place where we could improve:
```
cu_seqlens = F.pad(torch.cumsum(seqlens_in_batch, dim=0, dtype=torch.torch.int32), (1, 0))
```
where the `dtype` is `torch.torch.int32`. Dunno why but wondering mayb... | {
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"We shall copy https://github.com/huggingface/transformers/blob/ee2a3400f2a7038a23b83a39c5d0e24f7f699561/src/transformers/tokenization_utils_base.py#L742-L745 above https://github.com/huggingface/transformers/blob/ee2a3400f2a7038a23b83a39c5d0e24f7f699561/src/transformers/tokenization_utils_base.py#L693-L694\r\n\r\n... | 1,707 | 1,707 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-6.5.0-14-generic-x86_64-with-glibc2.35
- Python version: 3.11.6
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu117 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/28881 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28881/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28881/comments | https://api.github.com/repos/huggingface/transformers/issues/28881/events | https://github.com/huggingface/transformers/pull/28881 | 2,119,895,969 | PR_kwDOCUB6oc5mGJpe | 28,881 | [`LlamaTokenizerFast`] Refactor default llama | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28881). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,708 | null | COLLABORATOR | null | # What does this PR do?
```python
from transformers import LlamaTokenizerFast, AddedToken
tokenizer = LlamaTokenizerFast.from_pretrained("huggyllama/llama-7b", legacy=False, from_slow=True)
tokenizer.add_tokens([AddedToken("<REPR_END>", rstrip=True, lstrip=True)], special_tokens=False)
tokenizer.tokenize("<REPR_EN... | {
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https://api.github.com/repos/huggingface/transformers/issues/28880 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28880/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28880/comments | https://api.github.com/repos/huggingface/transformers/issues/28880/events | https://github.com/huggingface/transformers/issues/28880 | 2,119,820,399 | I_kwDOCUB6oc5-WeRv | 28,880 | [pipeline][video-classification] a question about the use of decord in VideoClassificationPipeline | {
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"@Narsil @sanchit-gandhi"
] | 1,707 | 1,707 | null | NONE | null | ### System Info
transformers:4.37.2
platform: aarch
### Who can help?
@Narsil@sanchit-gandhi
### 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 detai... | {
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https://api.github.com/repos/huggingface/transformers/issues/28879 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28879/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28879/comments | https://api.github.com/repos/huggingface/transformers/issues/28879/events | https://github.com/huggingface/transformers/pull/28879 | 2,119,811,488 | PR_kwDOCUB6oc5mF3Ai | 28,879 | Bump cryptography from 41.0.2 to 42.0.0 in /examples/research_projects/decision_transformer | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28879). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.2 to 42.0.0.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst">cryptography's changelog</a>.</em></p>
<blockquote>
<p>42.0.0 - 2024-01-22</p>
<pre><code>
* **BACKWARDS INC... | {
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https://api.github.com/repos/huggingface/transformers/issues/28878 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28878/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28878/comments | https://api.github.com/repos/huggingface/transformers/issues/28878/events | https://github.com/huggingface/transformers/pull/28878 | 2,119,420,581 | PR_kwDOCUB6oc5mEhN0 | 28,878 | [Docs] Update project names and links in awesome-transformers | {
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This PR updates the linked projects in awesome-transformers:
* "Lama Cleaner" has been renamed to "IOPaint" ([Commit](https://github.com/Sanster/IOPaint/commit/a73e2a531f54c693763c61f611f453add42e5c8d))
* "LLaMA Efficient Tuning" has been renamed to "LLaMA Factory" ([Commit](https://githu... | {
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https://api.github.com/repos/huggingface/transformers/issues/28877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28877/comments | https://api.github.com/repos/huggingface/transformers/issues/28877/events | https://github.com/huggingface/transformers/issues/28877 | 2,119,418,547 | I_kwDOCUB6oc5-U8Kz | 28,877 | Llama2 and CodeLlama Better Transformer Error | {
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"Hey! Thanks for reporting. As the error mentions, people should use the native implementation in `transformers` that supports `attn_implementation=\"sdpa\"` or `attn_implementation=\"flash_attention\"` to enable these feature. BetterTransformers API is deprecated. \r\nfyi @fxmarty as well ",
"thanks @ArthurZucke... | 1,707 | 1,707 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.38.0.dev0
- Platform: Linux-5.15.0-1048-aws-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed... | {
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https://api.github.com/repos/huggingface/transformers/issues/28876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28876/comments | https://api.github.com/repos/huggingface/transformers/issues/28876/events | https://github.com/huggingface/transformers/pull/28876 | 2,119,326,232 | PR_kwDOCUB6oc5mEMWr | 28,876 | Alternative way of creating decoder_attention_mask to avoid torch warning about new_tensor() | {
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# What does this PR do?
Replace the method of creating `decoder_attention_mask` in `modeling_encoder_decoder.py` to avoid a pytorch warning. Masks were created as
```python
decoder_attention_mask = torch.tensor(decoder_input_ids != self.config.pad_token_id)
```
but this results in a torch warning:
> transfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28875 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28875/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28875/comments | https://api.github.com/repos/huggingface/transformers/issues/28875/events | https://github.com/huggingface/transformers/pull/28875 | 2,119,253,546 | PR_kwDOCUB6oc5mD8X8 | 28,875 | [Docs] Fix backticks in inline code and documentation links | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28875). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR adds missing backticks to inline code segments and documentation links that were not wrapped properly.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
Documentation: @stevhliu
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The Bnb classes require few additional calls in the middle of `_load_state_dict_into_meta_model()`. This PR makes the class interface comparable to that of GPTQ and AWQ:
- creating buffers to load quantization params in `_process_model_before_weight_loading()`
- load weights from st... | {
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https://api.github.com/repos/huggingface/transformers/issues/28873 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28873/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28873/comments | https://api.github.com/repos/huggingface/transformers/issues/28873/events | https://github.com/huggingface/transformers/pull/28873 | 2,119,113,129 | PR_kwDOCUB6oc5mDc52 | 28,873 | Fix LongT5ForConditionalGeneration initialization of lm_head | {
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"Flax has a different init scheme we should be alright with cross PT FLax tests",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28873). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
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- `transformers` version: 4.37.2
- Platform: Linux-5.14.0-162.6.1.el9_1.x86_64-x86_64-with-glibc2.34
- Python version: 3.11.7
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Deepspeed version: 0.13.1
- Flash-attention version: 2.5.2
- Datasets ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/28871 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28871/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28871/comments | https://api.github.com/repos/huggingface/transformers/issues/28871/events | https://github.com/huggingface/transformers/issues/28871 | 2,118,905,622 | I_kwDOCUB6oc5-S-8W | 28,871 | Unable to load models from HF Hub repos without main | {
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"Hi @versipellis \r\nYou are trying to load adapter weights from a different branch than main, for that you need to pass the `revision` argument through `adapter_kwargs` as follows:\r\n```python\r\nfrom transformers import AutoModelForCausalLM\r\n\r\nmodel = AutoModelForCausalLM.from_pretrained(model_id, adapter_kw... | 1,707 | 1,707 | 1,707 | NONE | null | ### System Info
transformers 4.37.2 on Python 3.11.6.
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task... | {
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https://api.github.com/repos/huggingface/transformers/issues/28870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28870/comments | https://api.github.com/repos/huggingface/transformers/issues/28870/events | https://github.com/huggingface/transformers/pull/28870 | 2,118,764,511 | PR_kwDOCUB6oc5mCP3- | 28,870 | Add `push_to_hub( )` to pipeline | {
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"the docstring will need more cleaning, I'll leave it to another pull request since it does not affect the workflow\r\n\r\n\r\n",
"cc @ArthurZucker can I ask for a review on this one ?",
"@ArthurZucker what... | 1,707 | 1,707 | null | CONTRIBUTOR | null | # What does this PR do?
this will add a push_to_hub( ) method when working with pipelines.
this is a fix for #28857 allowing for easier way to push custom pipelines to huggingface
Fixes #28857
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the... | {
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https://api.github.com/repos/huggingface/transformers/issues/28869 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28869/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28869/comments | https://api.github.com/repos/huggingface/transformers/issues/28869/events | https://github.com/huggingface/transformers/pull/28869 | 2,118,671,471 | PR_kwDOCUB6oc5mB7kf | 28,869 | feat&fix(tokenization): add new consistent API for encoding and decoding related methods. | {
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Notice#1: To prevent to create a PR bomb, I decide to create this PR as a "new feature", consider that we have many code and tests which are using tokenization related m... | {
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"Hi @Richar-Du, thanks for raising this issue! \r\n\r\nThe issue is arising because torch's implementation of `upsample_bicubic2d` doesn't support bf16. If you'd like to have this supported, I'd suggest opening a feature request on the pytorch repo. ",
"Thanks for your reply, I'll try to open a feature request on... | 1,707 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-4.18.0-147.mt20200626.413.el8_1.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.18
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+c... | {
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"https://github.com/huggingface/transformers/issues/7198\r\n\r\n\"That feature is not supported, you should resume training with the exact same hyperparameters or start a new training if you want to change them.\"\r\n\r\nI understand certain hyperparameters that shouldn't be changed (or would be difficult to change... | 1,707 | 1,708 | null | NONE | null | ### System Info
I noticed when resuming the training of a model from a checkpoint changing properties like `save_steps` and `per_device_train_batch_size` has no effect. I'm wondering if there's something syntactically wrong here or technically the config of the model checkpoint overrides everything? I've seen a thread... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28866). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thank you! Addressed the comment in the latest commit."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | ### What does this PR do?
1. `save_only_model` can't be used with DeepSpeed/FSDP along with `load_best_model_at_end`. This is because the models are wrapped in DeepSpeed Engine or FSDP units and require the ckpts in their respective formats which isn't the case when saving only the model as it is in transformers forma... | {
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"Hi @erickrf, thanks for raising this issue! \r\n\r\nCould you provide some more information about the crashing behaviour? Specifically, are you seeing any error messages, or is the processor just killed? \r\n\r\nCould you provide a minimal code snippet we can run to reproduce the error e.g. with a sample of data b... | 1,707 | 1,707 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.133+-x86_64-with-glibc2.35
- Python version: 3.10.10
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensorflow ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28864). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR makes sure the main README is a bit more up-to-date, and updates the default recommendations for depth estimation and zero-shot image classification/object detection.
Fixes #28762 | {
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"➡️💡 SOLUTION ➡️💡 \r\n\r\nI dig some digging of the parameters of the `save_pretrained` and `trainer` methods and you can actually 🔧 turn off the storing of the safetensors format models, by using the following example: \r\n```python\r\nmodel.save_pretrained(<PATH_TO_SAVE_MODEL>, safe_serialization=False) #Repla... | 1,707 | 1,707 | 1,707 | NONE | null | I am trying to Torchserve (https://pytorch.org/serve/) a Transformers model to be deployed as a prediction API on GCP as a custom prediction service.
However, torchserve requires that the model be in either `.bin` format or `.pt` format. Is there a way to deactivate safetensors and return the .bin PyTorch file?
... | {
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https://api.github.com/repos/huggingface/transformers/issues/28862 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28862/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28862/comments | https://api.github.com/repos/huggingface/transformers/issues/28862/events | https://github.com/huggingface/transformers/pull/28862 | 2,118,043,699 | PR_kwDOCUB6oc5l_whf | 28,862 | Do not use mtime for checkpoint rotation. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28862). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,707 | 1,707 | 1,707 | CONTRIBUTOR | null | mtime is not reliable across all filesystems.
Some fs do not have mtime support, may fake mtime, or use mount time as mtime.
Resolve https://github.com/huggingface/transformers/issues/26961 | {
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"You should already be able to use this with `attn_implementation=\"sdpa\"`",
"@ArthurZucker waoo, so high efficiency, is 3.37 support now? BTW, what will it fallback when enable it but on V100?",
"I don't know the exact details but it should still used fused operations ! \r\ntransformers 4.35 already supported... | 1,707 | 1,707 | null | NONE | null | Flasshattn2 didn't support V100, and it just throws error on V100 gpus.
Since torch2.2 has built in flashatten2 support ,consider suppor t it? | {
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