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https://api.github.com/repos/huggingface/transformers/issues/26330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26330/comments | https://api.github.com/repos/huggingface/transformers/issues/26330/events | https://github.com/huggingface/transformers/pull/26330 | 1,907,664,516 | PR_kwDOCUB6oc5a7Rwh | 26,330 | feat: adding gradient_accumulate for run_clm_flax | {
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"thank you for your information",
"Thanks for opening this PR @pphuc25! To expand a bit on what @ArthurZucker mentioned, the Flax examples scripts are designed to be extremely minimalistic, i.e. contain the minimum level of complexity to perform a training run with the library models. This helps make them easy to... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
I've added gradient accumulation for Flax file training, recognizing that resource constraints can be a limitation. Gradient accumulation assists people in training models with large batch sizes, mitigating these limitations.
I would like to cc dual @sanchit-gandhi and @ArthurZucker for review... | {
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"Makes sense to me to use the built-in NumPy module, but I'm not too familiar with how robust JAX is compared to NumPy. What do you think @LysandreJik ?",
"From a quick look this looks OK, ok for you @sanchit-gandhi ?",
"This is not such a great idea! Let me explain why: any operations run as `numpy` code will ... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | Hi,
I just do a simple remove numpy and change to jax numpy, seen at now jax is more robust and can replace to numpy.
I would like to cc @stevhliu to review my PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/26328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26328/comments | https://api.github.com/repos/huggingface/transformers/issues/26328/events | https://github.com/huggingface/transformers/pull/26328 | 1,907,607,465 | PR_kwDOCUB6oc5a7FRl | 26,328 | [Falcon] Set `use_cache=False` before creating `presents` which relies on `use_cache` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26328). All of your documentation changes will be reflected on that endpoint.",
"Hi @yundai424 thanks a lot for iterating, in order to move forward with the PR could you merge your branch with main branch?",
"Hi @younesbe... | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/26327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26327/comments | https://api.github.com/repos/huggingface/transformers/issues/26327/events | https://github.com/huggingface/transformers/issues/26327 | 1,907,594,640 | I_kwDOCUB6oc5xs5WQ | 26,327 | [Falcon] forward pass will fail if `use_cache` is automatically flipped to False | {
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"Thanks! I answered on the pR ๐ "
] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.15.111.1-rolling-lts-linkedin-x86_64-with-glibc2.17
- Python version: 3.10.2
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0a0+gitf9988... | {
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https://api.github.com/repos/huggingface/transformers/issues/26326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26326/comments | https://api.github.com/repos/huggingface/transformers/issues/26326/events | https://github.com/huggingface/transformers/pull/26326 | 1,907,507,862 | PR_kwDOCUB6oc5a6vUf | 26,326 | feat: adding num_proc to load_dataset | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26326). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
As the demand for LLM models continues to grow, the size of the data being downloaded can slow down the process. To address this issue, I've submitted a PR to incorporate the "num_proc" feature into the "load_dataset" function, making data loading faster and more efficient.
I would like cc @... | {
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https://api.github.com/repos/huggingface/transformers/issues/26325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26325/comments | https://api.github.com/repos/huggingface/transformers/issues/26325/events | https://github.com/huggingface/transformers/issues/26325 | 1,907,456,086 | I_kwDOCUB6oc5xsXhW | 26,325 | The efficiency of transformers running in thread | {
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"Hey! The `transformer` (and the `torch/tf/jax`) library was made to leverage CPU operation in a builtin-manner. It does not support threading. If you want acceleration, you should look into the [optimum library](https://github.com/huggingface/optimum), or torch compilation of model. ",
"This issue has been autom... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
transformers version: 4.29.1
platform: arm64
python version: 3.7.5
When using the model to get the generation in the Thread, the speed is only 1/4 of the main thread, while the CPU usage is the same.
```python
model = AutoModelWithLMHead.from_pretrained(os.path.join(model_path, "opus-mt-en-z... | {
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https://api.github.com/repos/huggingface/transformers/issues/26324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26324/comments | https://api.github.com/repos/huggingface/transformers/issues/26324/events | https://github.com/huggingface/transformers/pull/26324 | 1,907,267,625 | PR_kwDOCUB6oc5a57M4 | 26,324 | Fix doctest CI | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
The daily doctest CI is killed due to memory issue (from `PersimmonForCausalLM.forward`'s docstring). It's not only about GPU, even running with the 60G CPU memory, the job is still killed.
If I run that test only - it could pass (with running on CPU), but the process is killed when the w... | {
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"Hey, you should try using accelerate's device map, or change the `\"CUDA_VISIBLE_DEVICE\"` os env variable! You probably have `apex` and are using the fused layer norm. Doesn't seem to work out of the box. \r\ncc @SunMarc ",
"@ArthurZucker Thanks for your suggestions\r\n@SunMarc \r\n\r\nI tried CUDA_VISIBLE_DEV... | 1,695 | 1,700 | 1,700 | NONE | null | ### System Info
transformers : 4.33.2
torch: 2.1.0a0+29c30b1
Python: 3.10.12
GPUs: Two identical NVIDIA GeForce RTX 4090 GPUs
OS: Ubuntu 22.04.3 LTS
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officiall... | {
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https://api.github.com/repos/huggingface/transformers/issues/26322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26322/comments | https://api.github.com/repos/huggingface/transformers/issues/26322/events | https://github.com/huggingface/transformers/pull/26322 | 1,906,869,433 | PR_kwDOCUB6oc5a4kc8 | 26,322 | Fix model integration ci | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,696 | 1,696 | COLLABORATOR | null | # What does this PR do?
Fixes the CI broken by #23909 | {
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"cc @Rocketknight1 our TF expert!",
"Hmmm indeed it seems like there is an issue with `runs` not being saved. I don't think that's related to TensorFlow but rather to the `Trainer`. \r\n\r\n@pacman100 @muellerzr could you please give this issue a look? Thank you!",
"This issue has been automatically marked as s... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
I'm running a somewhat changed version of [this](https://github.com/huggingface/notebooks/blob/main/examples/video_classification.ipynb) tutorial, and somewhere last month.
As the tutorial explains, it used to be that when I ran `push_to_hub`, a TensorBoard was created and appeared under the model... | {
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https://api.github.com/repos/huggingface/transformers/issues/26320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26320/comments | https://api.github.com/repos/huggingface/transformers/issues/26320/events | https://github.com/huggingface/transformers/issues/26320 | 1,906,763,688 | I_kwDOCUB6oc5xpueo | 26,320 | Text generation does not complete after tuning with QLora | {
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"postscript\r\nWhen I ran it with the number of data set to 1/100 and the number of epochs halved, it worked fine, although it was slow. Is there a case where generation becomes slow due to overtraining?",
"> Is there a case where generation becomes slow due to overtraining?\r\n\r\n@50516017 The text generation s... | 1,695 | 1,697 | 1,695 | NONE | null | ### System Info
I use Google colab V100 instance
`
`transformers` version: 4.33.2
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.2
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2... | {
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https://api.github.com/repos/huggingface/transformers/issues/26319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26319/comments | https://api.github.com/repos/huggingface/transformers/issues/26319/events | https://github.com/huggingface/transformers/issues/26319 | 1,906,759,185 | I_kwDOCUB6oc5xptYR | 26,319 | Registering Models in MLflow Callback | {
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"fyi @pacman100 and @muellerzr ",
"A PR would be most welcome! Feel free to open one and try :)"
] | 1,695 | 1,695 | null | NONE | null | ### Feature request
We can add registering models functionality to MLflow callback so that we can use MLflow model registry with ๐ค models. To do that we can introduce an optional _registered_model_name field to the callback, and can register the model in case these field is not None.
```
class MLflowCallback(... | {
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https://api.github.com/repos/huggingface/transformers/issues/26318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26318/comments | https://api.github.com/repos/huggingface/transformers/issues/26318/events | https://github.com/huggingface/transformers/issues/26318 | 1,906,688,883 | I_kwDOCUB6oc5xpcNz | 26,318 | T5 tokenizer adds whitespace after added token | {
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"Hey, this is the same as #25881 , the fix to `rust` has not been done yet and is more involved. I'll try to get to it! ",
"Thank you!",
"Linked the fix PR ๐ ",
"The PR is in a good state, should be mergeable this week. It uncovers more \"inconsistencies\" with slow and fast, but I'll document all of this t... | 1,695 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-6.2.0-33-generic-x86_64-with-glibc2.35
- Python version: 3.11.5
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (False)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/26317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26317/comments | https://api.github.com/repos/huggingface/transformers/issues/26317/events | https://github.com/huggingface/transformers/pull/26317 | 1,906,531,365 | PR_kwDOCUB6oc5a3ZsT | 26,317 | [ViTMatte] Add resources | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a link to a demo notebook for ViTMatte.
It also adds a figure to make the docs a bit less boring :) | {
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https://api.github.com/repos/huggingface/transformers/issues/26316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26316/comments | https://api.github.com/repos/huggingface/transformers/issues/26316/events | https://github.com/huggingface/transformers/issues/26316 | 1,906,420,828 | I_kwDOCUB6oc5xoaxc | 26,316 | Streaming and assisted decoding strategy for pipeline OR clearer understanding of pipelines to manually apply tasks | {
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] | open | false | null | [] | [] | 1,695 | 1,695 | null | NONE | null | ### Feature request
Currently looking to get a number of non-pipeline functions with pipelines
- Decoder strategies
- Assisted decoding
- Streaming output
etc
**Alternately**, if I can adopt the non-pipeline transformer approach with tokenizer act more pipeline'ish, that'd also be good. Specifically, what are t... | {
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https://api.github.com/repos/huggingface/transformers/issues/26315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26315/comments | https://api.github.com/repos/huggingface/transformers/issues/26315/events | https://github.com/huggingface/transformers/issues/26315 | 1,906,418,561 | I_kwDOCUB6oc5xoaOB | 26,315 | Adding OwlV2 checkpoint to Owl-vit model | {
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"Thanks for informing us!\r\n\r\nWe're on it, cc @ydshieh ",
"Hi folks, happy to share that OWLv2 is now available: https://huggingface.co/docs/transformers/main/en/model_doc/owlv2."
] | 1,695 | 1,697 | 1,697 | NONE | null | ### Feature request
Google scenic team has released checkpoint of OwlV2 in the below link
https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit#pretrained-checkpoints
Could you please integrate this to HFโs transfomers?
### Motivation
OwlV2 has better performance while having simliar back... | {
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https://api.github.com/repos/huggingface/transformers/issues/26314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26314/comments | https://api.github.com/repos/huggingface/transformers/issues/26314/events | https://github.com/huggingface/transformers/issues/26314 | 1,906,367,642 | I_kwDOCUB6oc5xoNya | 26,314 | Ray Release 2.7.0 breaks Trainer.hyperparameter_search | {
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"Hello,\r\n\r\nI am encountering the same error. \r\n\r\n\r\nThanks\r\n\r\n",
"The team told me that they are working on a foward fix, did not check yet but feel free to confirm! ",
"@ArthurZucker just FYI this is linked to some failing `Trainer` tests currently as well, so once resolved those should be fixed t... | 1,695 | 1,707 | 1,702 | NONE | null | ### System Info
When performing hyperparameter search with the ray backend, the following warning is raised and hyperparameter optimization is not performed:
```
File /ray/tune/trainable/util.py:315, in with_parameters(trainable, **kwargs)
310 if _detect_checkpoint_function(trainable, partial=True):
31... | {
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https://api.github.com/repos/huggingface/transformers/issues/26313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26313/comments | https://api.github.com/repos/huggingface/transformers/issues/26313/events | https://github.com/huggingface/transformers/pull/26313 | 1,906,359,975 | PR_kwDOCUB6oc5a20W2 | 26,313 | ๐ [i18n-KO] Translated `code_llama.md` to Korean | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,695 | 1,698 | 1,698 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค! -->
# What does this PR do?
Translated the `code_llama.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,695 | 1,700 | 1,700 | NONE | null | ### System Info
Hi, @muellerz @pacman100 . I have a question about the gradient accumulation. Should we divide the `gradient_accumulation_steps` before `accelerator.backward(loss)`?
https://github.com/huggingface/transformers/blob/e3a4bd2bee212a2d0fd9f03b27fe7bfc1debe42d/src/transformers/trainer.py#L2787
It se... | {
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https://api.github.com/repos/huggingface/transformers/issues/26311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26311/comments | https://api.github.com/repos/huggingface/transformers/issues/26311/events | https://github.com/huggingface/transformers/pull/26311 | 1,906,351,355 | PR_kwDOCUB6oc5a2yfg | 26,311 | [i18n-DE] Complete first toc chapter | {
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"@ArthurZucker or who is the correct one to ping ?",
"I just wondered why the doc builder job did not started as the last times\r\nCould you approve the workflows to start ?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26311). All of your documentation changes wil... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do ?
This PR translates all the file of the first toc chapter to german
It continues https://github.com/huggingface/transformers/issues/18564
- [x] add new model
- [x] add new pipeline
- [x] add tensorflow model
- [x] llm tutorial
- [x] peft
- [x] run scripts
- [x] transformers agents
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26310/comments | https://api.github.com/repos/huggingface/transformers/issues/26310/events | https://github.com/huggingface/transformers/pull/26310 | 1,906,288,664 | PR_kwDOCUB6oc5a2k6H | 26,310 | [WIP] Add ImageBind Model Implementation | {
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"Awesome @dg845! Let us know when you'd like for us to review this PR",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines... | 1,695 | 1,708 | null | CONTRIBUTOR | null | # What does this PR do?
This PR adds the ImageBind model ([paper](https://arxiv.org/abs/2305.05665), [code](https://github.com/facebookresearch/ImageBind)), a multimodal model which can map six different modalities to the same shared representation space.
As stated in their [blog post](https://ai.facebook.com/blo... | {
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https://api.github.com/repos/huggingface/transformers/issues/26309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26309/comments | https://api.github.com/repos/huggingface/transformers/issues/26309/events | https://github.com/huggingface/transformers/issues/26309 | 1,906,143,152 | I_kwDOCUB6oc5xnW-w | 26,309 | isses with converting llama-70B-chat model with convert_llama_weights_to_hf.py | {
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"Hey, could you confirm that the checkpoints you download are from https://huggingface.co/meta-llama ? ",
"They came from Meta themselves, the files I have seem to match the checksums on the huggingface repo though I am missing some files like the tokenizer and such. Would I need to grab the whole thing off of hu... | 1,695 | 1,699 | 1,698 | NONE | null | ### System Info
Howdy.
I'm trying to convert the new llama 70B chat model with convert_llama_weights_to_hf.py
but I'm getting the following error during loading the checkpoint shards:
`ValueError: Trying to set a tensor of shape torch.Size([1024, 8192]) in "weight" (which has shape torch.Size([8192, 8192])), this... | {
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https://api.github.com/repos/huggingface/transformers/issues/26308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26308/comments | https://api.github.com/repos/huggingface/transformers/issues/26308/events | https://github.com/huggingface/transformers/issues/26308 | 1,906,040,265 | I_kwDOCUB6oc5xm93J | 26,308 | Speedup module imports | {
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"Hey! Thanks for opening this issue, are you using `main`. There was a PR recently to fix this, see #26090 and #26106",
"I am indeed using main (specifically, `transformers[deepspeed]` at commit 382ba67)!",
"The code I mentioned above is run directly in the header of `trainer.py`. And, if I understand correctly... | 1,695 | 1,698 | 1,698 | CONTRIBUTOR | null | ### Feature request
Can we please consider importing the deepspeed module when needed, rather than in the [import header of `trainer.py`](https://github.com/huggingface/transformers/blob/e3a4bd2bee212a2d0fd9f03b27fe7bfc1debe42d/src/transformers/trainer.py#L217)?
### Motivation
When `deepspeed` is installed, `from tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/26307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26307/comments | https://api.github.com/repos/huggingface/transformers/issues/26307/events | https://github.com/huggingface/transformers/pull/26307 | 1,906,016,226 | PR_kwDOCUB6oc5a1psS | 26,307 | Move applying rotary embeddings inside LlamaRotaryEmbedding class | {
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"Thank you @kunal-vaishnavi, is it for later easier pattern matching on the rotary positional embedding? Could you share a given ONNX exported with the argument `export_modules_as_functions` set (e.g. https://huggingface.co/fxmarty/tiny-llama-fast-tokenizer)?\r\n\r\nThere are a few other archs that do the same: per... | 1,695 | 1,700 | 1,700 | NONE | null | # What does this PR do?
This PR moves `rotate_half` and `apply_rotary_pos_emb` inside the `LlamaRotaryEmbedding` base class. When all of the rotary embedding computations are in one class, the [export of LLaMA-2 to ONNX](https://github.com/pytorch/pytorch/pull/109759) can be done with the `export_modules_as_function... | {
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https://api.github.com/repos/huggingface/transformers/issues/26306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26306/comments | https://api.github.com/repos/huggingface/transformers/issues/26306/events | https://github.com/huggingface/transformers/issues/26306 | 1,905,890,442 | I_kwDOCUB6oc5xmZSK | 26,306 | [example/recipe request] CodeLlama supervised fine tuning for infilling | {
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"Hey! Feel free to share your code on the hub! It's the best way I believe to share something like this ๐ You should even be able to write a `Community Blogpost` !\r\n\r\nRegarding the format, the tokenizer will format the prompt 1. if you give it `\"{prefix} <FILL_ME> {suffix}\"`. The target probably needs what y... | 1,695 | 1,700 | 1,698 | NONE | null | ### Feature request
I am interested in fine tuning CodeLlama 7/13B to do some infilling.
I have data that I want to fine tune on of the form: {prefix} {suffix} {middle}
I am trying to understand how to format my supervised fine tuning dataset.
Should I be setting up my fine tuning data as:
```
prompt="_<P... | {
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https://api.github.com/repos/huggingface/transformers/issues/26305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26305/comments | https://api.github.com/repos/huggingface/transformers/issues/26305/events | https://github.com/huggingface/transformers/issues/26305 | 1,905,885,255 | I_kwDOCUB6oc5xmYBH | 26,305 | Swin-B model performance lower than mmpretrain | {
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"Hi,\r\n\r\nWhich models are you comparing exactly? Did you verify logits match between those models on the same input image?",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note tha... | 1,695 | 1,698 | 1,698 | NONE | null | I tried to train my own dataset using huggingface's transformers and mmpretrain in swin-b model
With the same learning rate and same augmentation pipeline, the performance of huggingface is 4% lower than mmpretrain, any one have met the same with me? | {
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https://api.github.com/repos/huggingface/transformers/issues/26304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26304/comments | https://api.github.com/repos/huggingface/transformers/issues/26304/events | https://github.com/huggingface/transformers/pull/26304 | 1,905,868,352 | PR_kwDOCUB6oc5a1Kji | 26,304 | feat: Sequential beam search(a.k.a Low-memory beam search) | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,695 | 1,706 | 1,705 | CONTRIBUTOR | null | # What does this PR do?
This is to address issue in https://github.com/huggingface/transformers/issues/22639
This PR is based on the idea from
https://github.com/huggingface/transformers/issues/22639#issuecomment-1507525155
The original implementation of beam search effectively multiplies the batch size memory-w... | {
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https://api.github.com/repos/huggingface/transformers/issues/26303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26303/comments | https://api.github.com/repos/huggingface/transformers/issues/26303/events | https://github.com/huggingface/transformers/issues/26303 | 1,905,740,112 | I_kwDOCUB6oc5xl0lQ | 26,303 | resize_token_embeddings warning should provide more context and be easier to squelch | {
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"Hey! On 1. Sur this si something that can be added. \r\n2. No, we can use `logger.warning_once` however.\r\n\r\nWould you like to open a PR for both? ๐ค ",
"That is something I could do! You should be able to find my application in the collection ๐ค has collected via Workable.",
"I don't know if it's safe or n... | 1,695 | 1,699 | 1,699 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.15.0-84-generic-x86_64-with-glibc2.35
- Python version: 3.11.5
- Huggingface_hub version: 0.17.2
- Safetensors version: 0.3.1
- Accelerate version: 0.23.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_typ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26302/comments | https://api.github.com/repos/huggingface/transformers/issues/26302/events | https://github.com/huggingface/transformers/pull/26302 | 1,905,436,242 | PR_kwDOCUB6oc5aztD9 | 26,302 | [InternLM] Add support for InternLM | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ArthurZucker Also, to answer the question, there is no `Dropout` anywhere in the LLaMA code or the InternLM code."
] | 1,695 | 1,695 | 1,695 | MEMBER | null | InternLM is based on the LLaMA code but adds a `config.bias` parameter. We can support those models by adding `config.bias` to LLaMA, and preserve backward compatibility by defaulting it to `False` | {
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https://api.github.com/repos/huggingface/transformers/issues/26301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26301/comments | https://api.github.com/repos/huggingface/transformers/issues/26301/events | https://github.com/huggingface/transformers/pull/26301 | 1,905,311,432 | PR_kwDOCUB6oc5azSfw | 26,301 | update hf hub dependency to be compatible with the new tokenizers | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
Fixes #26276, `tokenizers==0.14` requires `"huggingface-hub>=0.16.4,<1.0"`, so updated the dependency in setup.py | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'll add a few more update it seems that even when performing infilling the prefix tokens is removed, which should not be done (for both fast and slow): TODO for patch if needed"
] | 1,695 | 1,696 | 1,696 | COLLABORATOR | null | # What does this PR do?
Fixes #26156, the `fast` CodeLLama tokenizer excepts the fill token to be != None. | {
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https://api.github.com/repos/huggingface/transformers/issues/26299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26299/comments | https://api.github.com/repos/huggingface/transformers/issues/26299/events | https://github.com/huggingface/transformers/pull/26299 | 1,905,253,446 | PR_kwDOCUB6oc5azFzE | 26,299 | [Whisper Tokenizer] Make decoding faster after adding timestamps | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yep it was significantly faster once scaled to large datasets and long sequence lengths (>5k samples with 256 seq len)"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Following the update to the Whisper tokenizer to handle encoding/decoding timestamps (#26054), there is one line in the decoding which takes extremely long: https://github.com/huggingface/transformers/blob/f94c9b3d863c1a95b44b5b3ea9ce3cbd27fc7609/src/transformers/models/whisper/tokenization_w... | {
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O projeto Synk Dive cria um ambiente de harmonia multisensorial que oferece uma experiรชncia imersiva รบnica, combinando inputs visuais e textuais. Ao fornecer um vรญdeo como entrada, por exemplo, o sistema gera uma trilha sonora que se adapta ร s emoรงรตes transmitidas em tela. Esta trilha sonora sinc... | {
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https://api.github.com/repos/huggingface/transformers/issues/26297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26297/comments | https://api.github.com/repos/huggingface/transformers/issues/26297/events | https://github.com/huggingface/transformers/pull/26297 | 1,905,209,630 | PR_kwDOCUB6oc5ay8H7 | 26,297 | add build_inputs_with_special_tokens to LlamaFast | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"On our test update roadmap cc @ydshieh "
] | 1,695 | 1,696 | 1,696 | COLLABORATOR | null | # What does this PR do?
Fixes #26287 where the ouptuts of `prepare_for_model` are different. There is a test for `prepare_for_model` but we don't really make sure that the outputs match. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Changes merged, gonna go ahead and merge the PR once CI is green."
] | 1,695 | 1,695 | 1,695 | MEMBER | null | Followup to #26291 - I missed one of the messages! This PR also adds some linebreaks so they display without messy long lines and wrapping. | {
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] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | testing https://github.com/huggingface/doc-builder/pull/398 | {
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"All pass!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26294). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | 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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"Hey @ArthurZucker ! It seems the point character broke things\r\nNow it sohuld work. ",
"indeed sorry haha! merging ๐ ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26293). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | Fix link
# What does this PR do?
Fix broken link.
Change `https://huggingface.co/docs/transformers/model_doc/auto.`
for `https://huggingface.co/docs/transformers/model_doc/auto`
<img width="1093" alt="Captura de pantalla 2023-09-20 a las 16 10 06" src="https://github.com/huggingface/transformers/assets/24... | {
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] | 1,695 | 1,695 | 1,695 | MEMBER | null | The FSMT weight sharing needs to take into account whether `tie_word_embeddings` is `True` or not, given that the model has checkpoints that have it set to `True`, and others set to `False`. | {
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] | 1,695 | 1,695 | 1,695 | MEMBER | null | I was seeing these a lot while working on InternLM and it's time to fix them! | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26290). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | The current `forward` requires (the shape of) `input_ids` for deriving other variables whenever `input_ids` or `inputs_embeds` is provided. Change this to use the given one instead of `input_ids` all the time.
# What does this PR do?
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In order to allow customizing the skip dataloader, I propose to add a customizable method called `get_skip_dataloader` for example, which by default will contain the current logic but can be changed by inheriting the Trainer.
### Motivation
I am using a the [mosaicML streaming](https://github.com... | {
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https://api.github.com/repos/huggingface/transformers/issues/26288 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26288/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26288/comments | https://api.github.com/repos/huggingface/transformers/issues/26288/events | https://github.com/huggingface/transformers/issues/26288 | 1,904,718,285 | I_kwDOCUB6oc5xh7HN | 26,288 | CANINE unexpectedly requires input_ids anyway | {
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- `transformers` version: 4.33.2
- Platform: Linux-5.15.109+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.2
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/26287 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26287/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26287/comments | https://api.github.com/repos/huggingface/transformers/issues/26287/events | https://github.com/huggingface/transformers/issues/26287 | 1,904,690,361 | I_kwDOCUB6oc5xh0S5 | 26,287 | LLamaV2 tokenizer prepare_for_model produces different results for fast and slow tokenizers | {
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"Yep, this is because `prepare_input_for_model` uses the `build_inputs_with_special_tokens`, which was never added for LlamaFast as using the template processor is the favoured way to go. I'll add it back for now, good catch! "
] | 1,695 | 1,696 | 1,696 | NONE | null | ### System Info
transformers==4.33.2
Hi, I noticed that LlamaV2 tokenizer produces different results depending on whether is_fast is enabled or not:
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task... | {
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"cc @Rocketknight1 if you can have a look! ๐ค ",
"@michelbartels I managed to reproduce the bug, and I think your diagnosis of it is completely correct. Would you be interested in filing a PR with your solution? If you don't have time, that's fine! Just let us know and we'll put it on the list to get fixed intern... | 1,695 | 1,707 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0
- Platform: macOS-13.4.1-arm64-arm-64bit
- Python version: 3.11.4
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (False)
- Tensorflow version (GPU?): n... | {
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https://api.github.com/repos/huggingface/transformers/issues/26285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26285/comments | https://api.github.com/repos/huggingface/transformers/issues/26285/events | https://github.com/huggingface/transformers/pull/26285 | 1,904,642,702 | PR_kwDOCUB6oc5axBWE | 26,285 | Update tiny model information and pipeline tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sanchit-gandhi \r\n\r\nThe `tests/models/vits/test_modeling_vits.py::VitsModelTest::test_pipeline_text_to_audio` fails (in this PR) with `TypeError: forward() got an unexpected keyword argument 'num_return_sequences'`. You can see i... | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
Update tiny model information and pipeline tests | {
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https://api.github.com/repos/huggingface/transformers/issues/26284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26284/comments | https://api.github.com/repos/huggingface/transformers/issues/26284/events | https://github.com/huggingface/transformers/issues/26284 | 1,904,577,877 | I_kwDOCUB6oc5xhY1V | 26,284 | GPU memory isn't freed while using trainer. GPU runs out of memory and throws OOM | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,695 | 1,705 | 1,698 | NONE | null | ### System Info
- OS : Ubtuntu 2204
- Cuda: 12.0
- Driver: 525.125.06
- Transformers Version: 4.33.2
- GPU: 1 x A100-40GB VRAM via PCIe
### Who can help? @muellerz @pacman100 ( Trainer is what I'm looking at)
GPU runs out of memory after a few steps ( generally around 180 to start with, then resume_from_ch... | {
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https://api.github.com/repos/huggingface/transformers/issues/26283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26283/comments | https://api.github.com/repos/huggingface/transformers/issues/26283/events | https://github.com/huggingface/transformers/issues/26283 | 1,904,562,620 | I_kwDOCUB6oc5xhVG8 | 26,283 | AutoModelForCausalLM.from_pretrained is killed by Loading checkpoint shards: | {
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"Having similar lssue",
"Hi @50516017 @jmanhype \r\nThis is because the first shard of the model is ~10GB, what I usually do is to push a smaller sharded version on the Hub.\r\nI have just pushed a version with smaller shards under: `ybelkada/japanese-novel-gpt-j-6b-sharded`: https://huggingface.co/ybelkada/japan... | 1,695 | 1,698 | 1,695 | NONE | null | ### System Info
`- `transformers` version: 4.34.0.dev0
- Platform: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.20.3
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1... | {
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https://api.github.com/repos/huggingface/transformers/issues/26282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26282/comments | https://api.github.com/repos/huggingface/transformers/issues/26282/events | https://github.com/huggingface/transformers/issues/26282 | 1,904,262,281 | I_kwDOCUB6oc5xgLyJ | 26,282 | Why not use model_wrapped in trainer evaluation_loop? | {
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"correcting the ping to @pacman100 ๐ ",
"> correcting the ping to @pacman100 ๐\r\n\r\nthanks, i fix it ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do n... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
Transformers >= 4.30.2.
### Who can help?
@muellerzr @pacman100
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give deta... | {
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https://api.github.com/repos/huggingface/transformers/issues/26281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26281/comments | https://api.github.com/repos/huggingface/transformers/issues/26281/events | https://github.com/huggingface/transformers/pull/26281 | 1,904,261,749 | PR_kwDOCUB6oc5avuod | 26,281 | use model_wrapped in evaluation_loop | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,695 | 1,698 | 1,698 | NONE | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/26280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26280/comments | https://api.github.com/repos/huggingface/transformers/issues/26280/events | https://github.com/huggingface/transformers/issues/26280 | 1,904,221,270 | I_kwDOCUB6oc5xgBxW | 26,280 | stopping criteria for TextGenerationPipeline | {
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"Hey! You can pass `generation_kwargs` to the pipeline, which are usually used for stopping criteria such as `max_length, max_new_tokens, max_time` . You can also pass some `stopping_criteria` argument to the generate function using `generation_kwargs = {stopping_criteria = StoppingCriteriaList: [MaxTimeCriteria(32... | 1,695 | 1,696 | 1,696 | NONE | null | ### Feature request
pass stopping criteria or string to TextGenerationPipeline
### Motivation
it does not exist, have not found any way to do it at least, but would be _very_ useful
### Your contribution
none | {
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https://api.github.com/repos/huggingface/transformers/issues/26279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26279/comments | https://api.github.com/repos/huggingface/transformers/issues/26279/events | https://github.com/huggingface/transformers/pull/26279 | 1,904,206,123 | PR_kwDOCUB6oc5aviho | 26,279 | Remove redundant code | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merge now to prevent further failure on main",
"You should also link the PR that was failing, #26180 if I am not mistaken"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
1. Fixes the non-torch test failures `ERROR tests/fsdp/test_fsdp.py - NameError: name 'require_fsdp_version' is not defined` | {
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https://api.github.com/repos/huggingface/transformers/issues/26277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26277/comments | https://api.github.com/repos/huggingface/transformers/issues/26277/events | https://github.com/huggingface/transformers/pull/26277 | 1,903,954,268 | PR_kwDOCUB6oc5aurX6 | 26,277 | Update bros checkpoint | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26277). All of your documentation changes will be reflected on that endpoint.",
"Is there a reason why we did not go with creating new repos with `naver-clova-ocr/bros-base-uncased-hf` instead of a custom repo? ",
"> Is t... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/26276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26276/comments | https://api.github.com/repos/huggingface/transformers/issues/26276/events | https://github.com/huggingface/transformers/issues/26276 | 1,903,710,838 | I_kwDOCUB6oc5xeFJ2 | 26,276 | Transformers breaks when running setup.py | {
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"A quick fix: update `huggingface_hub` . On our side we should update the dependency requirement. Thanks for reporting! ",
"@ArthurZucker have you tested re installing Transformers after this update?\r\nI tested and its still failing.\r\n\r\nhuggingface-hub>=0.16.4,<1.0 won't solve the issue: \r\nhuggingface_hub... | 1,695 | 1,696 | 1,695 | CONTRIBUTOR | null | ### System Info
Running `python setup.py install` in transformers folder throws this error:
error: huggingface-hub 0.17.2 is installed but huggingface_hub<0.17,>=0.16.4 is required by {'tokenizers'}
This starts happening after merging this PR where line 175 was changed from:
from "tokenizers>=0.11.1,!=0.11... | {
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https://api.github.com/repos/huggingface/transformers/issues/26275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26275/comments | https://api.github.com/repos/huggingface/transformers/issues/26275/events | https://github.com/huggingface/transformers/issues/26275 | 1,903,674,253 | I_kwDOCUB6oc5xd8ON | 26,275 | Memory leak when acquiring CLIP embeddings | {
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"This does not seem like a memory leak, you're not using `torch.no_grad()`, which means that with every forward pass you're stacking up more gradients into your memory.",
"Thanks @NielsRogge!\r\n\r\nWhy doesn't memory get reclaimed between multiple invocations to `get_embeddings`? Shouldn't it be garbage collecte... | 1,695 | 1,700 | 1,700 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (False)
- Tensorflow version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/26274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26274/comments | https://api.github.com/repos/huggingface/transformers/issues/26274/events | https://github.com/huggingface/transformers/pull/26274 | 1,903,648,088 | PR_kwDOCUB6oc5atpeS | 26,274 | [docs] LLM prompting guide | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The first draft of the LLM prompting guide is ready for review, let me know if anything major is missing. cc @patrickvonplaten ",
"Feel free to merge when satisfied with it!",
"@LysandreJik I'm happy with it, but I think we shoul... | 1,695 | 1,697 | 1,697 | CONTRIBUTOR | null | # What does this PR do?
This PR addresses part 2.2 ("Prompting" ) of the issue [#24575](https://github.com/huggingface/transformers/issues/24575)โจ
It adds an LLM Prompting Guide to the docs that covers the following topics:
* basics of prompting,
* encoder-decoder models vs decoder-only models,
* base vs inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/26273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26273/comments | https://api.github.com/repos/huggingface/transformers/issues/26273/events | https://github.com/huggingface/transformers/issues/26273 | 1,903,568,794 | I_kwDOCUB6oc5xdiea | 26,273 | Llama 2 tokenizer: apparition of the token id 29871 | {
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"Hey, could you try this on `transformers == 4.33`? Pretty sure the fixes to Llama have been merged",
"Same (wrong) result with `transformers == 4.33`.",
"Okay, this is actually expected, `29871` is the `SPIECE_UNDERLINE` token. If you encode each prompt individually, you are adding an underline to the prompt, ... | 1,695 | 1,699 | 1,699 | CONTRIBUTOR | null | ### System Info
transformers==4.31.0
meta-llama/Llama-2-7b-hf
### Who can help?
@ArthurZucker
### 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 or data... | {
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https://api.github.com/repos/huggingface/transformers/issues/26272 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26272/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26272/comments | https://api.github.com/repos/huggingface/transformers/issues/26272/events | https://github.com/huggingface/transformers/pull/26272 | 1,903,564,570 | PR_kwDOCUB6oc5atXTd | 26,272 | [docs] LLM Prompting Guide | {
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This PR adds an LLM Prompting Guide to the docs that covers the following topics:
- basics of prompting,
- encoder-decoder models vs decoder-only models,
- base vs instruct models,
- basic prompts to solve common NLP tasks,
- best practices for prompting,
- advanced techniques l... | {
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https://api.github.com/repos/huggingface/transformers/issues/26271 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26271/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26271/comments | https://api.github.com/repos/huggingface/transformers/issues/26271/events | https://github.com/huggingface/transformers/issues/26271 | 1,903,551,588 | I_kwDOCUB6oc5xdeRk | 26,271 | Marian models broken with latest transformers | {
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"Hey, this is related to https://github.com/Helsinki-NLP/Tatoeba-Challenge/issues/35 and a duplicate of #26216. The conversion script was a bit faulty and models need a re-upload. I can try to open PRs for relevant models ",
"That would be greatly appreciated, thank you! Right now I am running on transformers 4.2... | 1,695 | 1,708 | 1,700 | NONE | null | ### System Info
Transformers >= 4.31(and maybe also older), including master.
### Who can help?
@joaoga I noticed that you merged an update to Marian models.
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (suc... | {
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https://api.github.com/repos/huggingface/transformers/issues/26270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26270/comments | https://api.github.com/repos/huggingface/transformers/issues/26270/events | https://github.com/huggingface/transformers/pull/26270 | 1,903,472,219 | PR_kwDOCUB6oc5atDXj | 26,270 | [`PEFT`]ย introducing `adapter_kwargs` for loading adapters from different Hub location (`subfolder`, `revision`) than the base model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think that I was not clear in the PR description, the PR is not a patch for Falcon but globally for users that want to load a base model from a specific revision and the adapter on the default revision (or another revision), which ... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Currently on main branch the script below fails:
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "andrewrreed/falcon-7b-guanaco-qlora-arr"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(... | {
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https://api.github.com/repos/huggingface/transformers/issues/26269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26269/comments | https://api.github.com/repos/huggingface/transformers/issues/26269/events | https://github.com/huggingface/transformers/issues/26269 | 1,903,460,074 | I_kwDOCUB6oc5xdH7q | 26,269 | AugViT TensorFlow implementation | {
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] | open | false | null | [] | [] | 1,695 | 1,695 | null | NONE | null | ### Model description
I would like to contribute AugViT Tensorflow implementation to the Transformers library. You can find the implementation in TensorFlow here https://github.com/ushareng/AugViT
I have created Model card here https://huggingface.co/tensorgirl/TFaugvit/tree/main
Kindly let me know if the above ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26268/comments | https://api.github.com/repos/huggingface/transformers/issues/26268/events | https://github.com/huggingface/transformers/pull/26268 | 1,903,398,592 | PR_kwDOCUB6oc5aszpA | 26,268 | [DO NOT MERGE] Test docker + FA-2 | {
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"Closing as FA2 is currently not supported on T4 GPUs (according to FA2 readme). As we use T4 GPUs in our workflow for slow tests we cannot test https://github.com/huggingface/transformers/pull/25598 automatically for now. \r\nI will test on an A100 if a PR touches a core component of FA2 modules manually",
"The ... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Simply tests if we can successfully build FA2 on docker
Addresses: https://github.com/huggingface/transformers/pull/25598/files#r1324800667 | {
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https://api.github.com/repos/huggingface/transformers/issues/26267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26267/comments | https://api.github.com/repos/huggingface/transformers/issues/26267/events | https://github.com/huggingface/transformers/issues/26267 | 1,903,340,677 | I_kwDOCUB6oc5xcqyF | 26,267 | ImportError: cannot import name 'DeciDiffusionForImageGeneration' from 'transformers' | {
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"Hey! I think you should have a look at the `diffusers` repository instead, `StabelDiffusion` is a diffusion model. See the documentation [here](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/overview)",
"This issue has been automatically marked as stale because it has not had recent activit... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
**I get this error:**
```
Traceback (most recent call last):
File "E:\Carte\BB\test.py", line 12, in <module>
from transformers import DeciDiffusionForImageGeneration, DeciDiffusionTokenizer
ImportError: cannot import name 'DeciDiffusionForImageGeneration' from 'transformers' (C:\Users\M... | {
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https://api.github.com/repos/huggingface/transformers/issues/26266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26266/comments | https://api.github.com/repos/huggingface/transformers/issues/26266/events | https://github.com/huggingface/transformers/issues/26266 | 1,903,188,062 | I_kwDOCUB6oc5xcFhe | 26,266 | Uninitialized token embeddings MBART when using device_map | {
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"I've traced this to the definition of the ` find_tied_parameters` function from `accelerate`.\r\n\r\nIn `transformers` we have a control flow to identify tied parameters that does not work for `meta` tensors; if we identify a `meta` tensor, we then rely on the `find_tied_parameters` function from `accelerate`. The... | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | ### System Info
Current master
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
Load... | {
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"I'll first work on [training.md](https://github.com/huggingface/transformers/blob/main/docs/source/en/training.md) !"
] | 1,695 | 1,697 | null | NONE | null | <!--
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Let's bring the documentation to all the Traditional Chinese-speaking community ๐ (currently 0 out of 267 complete)
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https://api.github.com/repos/huggingface/transformers/issues/26264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26264/comments | https://api.github.com/repos/huggingface/transformers/issues/26264/events | https://github.com/huggingface/transformers/pull/26264 | 1,903,009,179 | PR_kwDOCUB6oc5arfDI | 26,264 | Fix wrong vocab_size updating when calling `resize_token_embeddings` on an uninitialized model | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26264). All of your documentation changes will be reflected on that endpoint.",
"Hey ๐๐ป I am not entirely sure I understand the use case here. Could you share a reproducing snippet? ",
"Sorry for the missing information... | 1,695 | 1,698 | 1,698 | NONE | null | # What does this PR do?
`resize_token_embeddings` intends to update model vocab_size to the size of the first dimension of the newly-built embedding's weight.
However, if this method is call on an uninitialized model (e.g.: in `no_init_weight` context) and the parameter `new_num_tokens` equals to the old vocab_si... | {
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https://api.github.com/repos/huggingface/transformers/issues/26263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26263/comments | https://api.github.com/repos/huggingface/transformers/issues/26263/events | https://github.com/huggingface/transformers/pull/26263 | 1,902,987,321 | PR_kwDOCUB6oc5araJG | 26,263 | add GitTokenizer | {
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"Feel free to ask for a review when needed!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggi... | 1,695 | 1,700 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `GitTokenizer`
Fixes part of https://github.com/huggingface/transformers/issues/21110
It was discussed with @amyeroberts in https://github.com/huggingface/transformers/pull/25509#issuecomment-1719288200
## Before submitting
- [ ] This PR fixes a typo or improves the docs ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26262). All of your documentation changes will be reflected on that endpoint.",
"I think this could be closed as the changes is already on `main`? cc @mfuntowicz ",
"This issue has been automatically marked as stale becau... | 1,695 | 1,697 | 1,697 | MEMBER | null | This PR adds the following:
- [x] Job to build AMD specific docker images for the CI
- [x] Update the GA docker dependencies to their latest version(s) | {
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https://api.github.com/repos/huggingface/transformers/issues/26261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26261/comments | https://api.github.com/repos/huggingface/transformers/issues/26261/events | https://github.com/huggingface/transformers/issues/26261 | 1,902,887,054 | I_kwDOCUB6oc5xa8CO | 26,261 | Adding support for low end and older GPU | {
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"Hey! This is very specific so most probably not planned. I hear your pain, but it's pretty much impossible to \"go back in time\" in the sense that the current state of the library relies on a lot of new packages. What you should be looking for is rather `quantisation` techniques that are compatible with your dev... | 1,695 | 1,698 | 1,698 | NONE | null | ### Feature request
Using, training and processing models with the transformer pipeline is usually very computationally intensive.
Using this pipeline in a world with torch 1.8 or before is a difficult / impossible goal.
The question in this feature request: is it possible to set the pipeline to work with older ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26260/comments | https://api.github.com/repos/huggingface/transformers/issues/26260/events | https://github.com/huggingface/transformers/pull/26260 | 1,902,775,565 | PR_kwDOCUB6oc5aqsmr | 26,260 | include changes from llama | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
Fixes #26239, where we have an edge case of the tokenization. When porting from CodeLllama a condition in `_tokenize` was ommited, which leads to merging the unk token with part of the input, and then stripping it. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
1. PRs https://github.com/huggingface/transformers/pull/25394 and https://github.com/huggingface/transformers/pull/25732 resulted in 17 DeepSpeed slow tests failing. The reason is that those PRs might have missed the fact that the shape will be 0 when working with layers that have been initiali... | {
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"> The `no_init_weights` context manager sets `_init_weights` global variable, but it gets ignored by model's code (tested on Llama_2_7B).\r\n\r\nInteresting, could you please describe how you tested this? This sounds like a bug.",
"> Interesting, could you please describe how you tested this? This sounds like a ... | 1,695 | 1,702 | 1,702 | CONTRIBUTOR | null | I observed that loading pre-trained model takes rather long, even when loading cached models from fast SSD. It is especially noticeable when dealing with LLMs with billions of weights.
Apparently, majority of the time is lost [in this section of the code](https://github.com/huggingface/transformers/blob/eb8489971ac141... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26257). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | Related to this [slack thread](https://huggingface.slack.com/archives/C01NE71C4F7/p1692855942544019) (private).
Since end of August (https://github.com/huggingface/transformers/commit/68fa9a5937ae7aa707f5ff2639aa36a37a0a9928), gated repo tests were skipped because failing to pass. This was due to a server-side chang... | {
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"@ArthurZucker, just came to check in here to know whether is this active or not or just to know any thoughts on this. \r\n\r\nThanks ",
"Hello @Anindyadeep, for now I do not think we will add recommendation system capabilities to `transformers` unless there is a very large number of requests.\r\n\r\nHowever, we'... | 1,695 | 1,696 | null | CONTRIBUTOR | null | ### Feature request
A new category in HuggingFace (both in datasets and models) for recommendation systems.
### Motivation
HuggingFace has a rich ecosystem of diverse sets of datasets and models. We have model types ranging from
1. Language Models
2. Graph Models
3. Vision models
4. Multimodal etc
And same... | {
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https://api.github.com/repos/huggingface/transformers/issues/26255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26255/comments | https://api.github.com/repos/huggingface/transformers/issues/26255/events | https://github.com/huggingface/transformers/issues/26255 | 1,902,665,654 | I_kwDOCUB6oc5xaF-2 | 26,255 | Zero-values in ViT attention mask (pixel mask) | {
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"Hey, the error does not seem to indicate and issue with padding but rather an issue with the `upsampling` function, and thus the shape of the pixel mask. I am not sure this is a bug in transformers as you are using your custom code. \r\nI don't have access to the full traceback so can't help you further. Can you ... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.15.109+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.2
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/26254 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26254/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26254/comments | https://api.github.com/repos/huggingface/transformers/issues/26254/events | https://github.com/huggingface/transformers/issues/26254 | 1,902,627,322 | I_kwDOCUB6oc5xZ8n6 | 26,254 | Access to pre_tokenizer for PreTrainedTokenizer | {
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"Hey! The equivalent of `pre-tokenizers` is not impelemted directly for `PretrainedTokenizers` (yet, something might be on it's way). The pre-tokenization is usually done in the `prepare_for_tokenization` function.",
"@ArthurZucker Thanks for your reply! That's unfortunate. One would expect that the two classes d... | 1,695 | 1,699 | 1,699 | NONE | null | ### Feature request
Give access to setting a `pre_tokenizer` for a `transformers.PreTrainedTokenizer`, similar to how this works for `PreTrainedTokenizerFast`.
### Motivation
As far as I understand from [these docs](https://huggingface.co/docs/transformers/v4.33.2/en/main_classes/tokenizer), there are two in... | {
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https://api.github.com/repos/huggingface/transformers/issues/26253 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26253/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26253/comments | https://api.github.com/repos/huggingface/transformers/issues/26253/events | https://github.com/huggingface/transformers/issues/26253 | 1,902,623,236 | I_kwDOCUB6oc5xZ7oE | 26,253 | [Bug] whisper pipeline inference bug on transformers master branch | {
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"CC @BenWilson2\r\n\r\nThis causes MLflow CI failure https://github.com/mlflow-automation/mlflow/actions/runs/6223078500/job/16896947205#step:13:7352",
"This is the commit and line that is problematic. \r\n\r\nhttps://github.com/huggingface/transformers/commit/95fe0f5d806ff1b981f1870f290a4d9aaa53a5d4#diff-ccc8e98... | 1,695 | 1,705 | 1,703 | NONE | null | ### System Info
OS:
ubuntu 20.04
transformer version: master branch.
`pip install git+https://github.com/huggingface/transformers`
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in t... | {
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https://api.github.com/repos/huggingface/transformers/issues/26252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26252/comments | https://api.github.com/repos/huggingface/transformers/issues/26252/events | https://github.com/huggingface/transformers/pull/26252 | 1,902,620,581 | PR_kwDOCUB6oc5aqKya | 26,252 | fix deepspeed available detection | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Could you show us how to see the following?\r\n\r\n> Having tests/deepspeed & [get_env](https://github.com/huggingface/transformers/blob/eb8489971ac1415f67b0abdd1584fde8b659ced9/src/transformers/testing_utils.py#L1344) that adds test... | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | As per title, make the deepspeed available function more robust as https://github.com/huggingface/accelerate/blob/69e4c3c54da3201eda288b500d138761e7a5221c/src/accelerate/utils/imports.py#L72
Having `tests/deepspeed` & [`get_env`](https://github.com/huggingface/transformers/blob/eb8489971ac1415f67b0abdd1584fde8b659ce... | {
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"Because your dataset is an iterable, you have to go through the samples in order. For now, it not possible to shortcut this process. This issue has been mentioned a couple times and I think the Huggingface team might be working on something.\r\nI personally use [MosaicML streaming](https://github.com/mosaicml/stre... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.4.143.bsk.8-amd64-x86_64-with-glibc2.28
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/... | {
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https://api.github.com/repos/huggingface/transformers/issues/26250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26250/comments | https://api.github.com/repos/huggingface/transformers/issues/26250/events | https://github.com/huggingface/transformers/pull/26250 | 1,902,486,497 | PR_kwDOCUB6oc5apuUi | 26,250 | Keypoints 0.0 are confusing ../transformers/models/detr/image_processing_detr.py which are fixed | {
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"Hi @hackpk, I am making the first review here :) ",
"Hi @hackpk , :) \r\n\r\nI opened a discussion in issue #26126 trying to replicate the error. Let's discuss it there, then I continue with the review here.\r\n",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26250)... | 1,695 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
This PR will fix the keypoint 0.0 at this transformers/models/detr/image_processing_detr.py as suggested by @duckheada
To fix this, I had to edit this file in transformers library:
.conda/lib/python3.9/site-packages/transformers/models/detr/image_processing_detr.py
I changed this as su... | {
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"Hey ๐ค thanks for opening an issue! We try to keep the github issues for bugs/feature requests. \r\nCould you ask your question on the [forum](https://discuss.huggingface.co/) instead? I'm sure the community will be of help!\r\nEven better, ask the author of this model in the community tab [here](https://huggingf... | 1,695 | 1,698 | 1,698 | NONE | null | I am working on T5 finetune model , and I found the [t5-small-finetuned-samsum-en](https://huggingface.co/santiviquez/t5-small-finetuned-samsum-en) model on huggingface and the rouge metric on https://paperswithcode.com/sota/summarization-on-samsum
It shows: (I have delete other models except t5-small-finetuned-samsu... | {
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https://api.github.com/repos/huggingface/transformers/issues/26248 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26248/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26248/comments | https://api.github.com/repos/huggingface/transformers/issues/26248/events | https://github.com/huggingface/transformers/pull/26248 | 1,902,372,501 | PR_kwDOCUB6oc5apWEq | 26,248 | [`Trainer`] Refactor trainer + bnb logic | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/26207
Some users try to perform pure fine-tuning on quantized models; this is simply not supported.
Before this PR, in that case we only pass a logger.info which is not a strong enough warning for users to understand why training do... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26247). All of your documentation changes will be reflected on that endpoint.",
"depends on #25927 ",
"I am not sure I understand should I review this ? It's all red, while the other PR does not seem ready either (a lot o... | 1,695 | 1,701 | 1,701 | CONTRIBUTOR | null | [PatchTSMixer](https://arxiv.org/pdf/2306.09364.pdf) ([KDD 2023](https://dl.acm.org/doi/abs/10.1145/3580305.3599533)) is a lightweight time-series modeling approach based on the MLP-Mixer architecture. In this HuggingFace implementation, we provide PatchTSMixer's capabilities to effortlessly facilitate lightweight mixi... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26246). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
@kj021 translated the `debugging.md` file of the documentation to Korean. I made sure hanging suggestions were resolved.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
Moved from https://github.com/huggingface/transformers/pull/248... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26245). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,697 | 1,697 | CONTRIBUTOR | null | # What does this PR do?
@bolizabeth translated the `big_models.md` file of the documentation to Korean. I made sure hanging suggestions were resolved.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26244). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
@hyunhp translated the `perf_train_gpu_many.md` file of the documentation to Korean. I made sure hanging suggestions were resolved.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
Moved from https://github.com/huggingface/transforme... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26243). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
@HanNayeoniee translated the `tokenizer_summary.md` file of the documentation to Korean. I made sure hanging suggestions were resolved.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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"Regarding the accuracy and if the model actually work: I was able to achieve decent accuracy (WER: 7% on my test dataset with only 10% of my dataset(100k audios), starting from WhisperForConditionalGeneration Encoder checkpoint).",
"Adding as a feature request FYI @sanchit-gandhi ",
"That's very cool @DavraYou... | 1,695 | 1,704 | null | NONE | null | ### Feature request
Request to add WhisperForCTC model.
### Motivation
it would be cool if we had custom WhisperForCTC with Whisper encoder and ctc head, just like Wav2vec2, but since whisper is based on mel spectograms, I think it may bring better results.
### Your contribution
Here is my implementatio... | {
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https://api.github.com/repos/huggingface/transformers/issues/26241 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26241/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26241/comments | https://api.github.com/repos/huggingface/transformers/issues/26241/events | https://github.com/huggingface/transformers/issues/26241 | 1,902,189,761 | I_kwDOCUB6oc5xYRzB | 26,241 | WhisperFeatureExtractor padding='longest' cause whisper model to fail. | {
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"Hey @DavraYoung! The behaviour you've encountered here is the way the Whisper model gets around dealing with padded/truncated inputs: all input audios are padded/truncated to 30 seconds, regardless of their length, before being converted to log-mel spectrogram inputs. The model is then trained **without** an atten... | 1,695 | 1,696 | 1,696 | NONE | null | ### System Info
Hi, I have found huge memory consumption on my WhisperForAudioClassification model even when I supplied small audios, turns out WhisperFeatureExtractor always pads features to 30s chunks, even if my audios is 200ms long(I was doing per word speaker embedding).
Then I tried specifying padding='longes... | {
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https://api.github.com/repos/huggingface/transformers/issues/26240 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26240/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26240/comments | https://api.github.com/repos/huggingface/transformers/issues/26240/events | https://github.com/huggingface/transformers/pull/26240 | 1,902,185,276 | PR_kwDOCUB6oc5aotvE | 26,240 | Fixed unclosed p tags | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26240). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Fixed unclosed p tags
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-r... | {
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"can confirm the inconsistency cc @pacman100 @ArthurZucker, minor differences in tokenization may not significantly impact the final results though.",
"I'll have a look, LlamaTokenizer does not seem to suffer from this so should be quick to fix! "
] | 1,695 | 1,695 | 1,695 | NONE | null | ### System Info
transformers: 4.33.0
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproducti... | {
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https://api.github.com/repos/huggingface/transformers/issues/26238 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26238/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26238/comments | https://api.github.com/repos/huggingface/transformers/issues/26238/events | https://github.com/huggingface/transformers/pull/26238 | 1,902,045,166 | PR_kwDOCUB6oc5aoP0a | 26,238 | fixing + testing center_crop, so it can accept odd sizes | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26238). All of your documentation changes will be reflected on that endpoint.",
"> Thanks for fixing!\r\n> \r\n> This is likely going to result in changes in outputs for some users, in particular for CLIP which is our most ... | 1,695 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
Fixes #22505
Our `center_crop` function does not give proper results if `orig_height - crop_height` is odd or if `orig_width - crop_width` is odd.
It seems that our code [here](https://github.com/huggingface/transformers/blob/main/src/transformers/image_transforms.py#L461C66-L461C88) ... | {
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"It's all good :D. I got mentioned occasionally before, which I ignored, but checked that he was later tagged correctly. I don't really use Github so I just deleted the mails without thought, so no real mess there. It did get slightly annoying and I just had the spare time to fix it. And I'm sure having the intende... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
This fixes a wrong suggested tag of a Github user not acquainted with this project to the correct contributor.
#### Personal Note
I can definitely see that his and my username seem switched given our clear names and I'm sorry for any confusion. That username was given to me by a teacher in... | {
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"Thanks @ArthurZucker , I added a `__repr__` function and `repr=True` to the `dataclass` definition.",
"Hi @ArthurZucker ,\r\nI reverted the change to the `__repr__` function and to the `dataclass` decorator.\r\n\r\nI'm an not sure that the `__repr__` behavior is correct. When I load a Bart tokenizer and print it... | 1,695 | 1,696 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the tokenization of the `<s>` and `</s>` tokens, when `transformers` is installed but `tokenizers` is not installed, fixing the string representation of the `AddedToken` class.
Using `transformers` _without_ `tokenizers` installed results in the following problem:
```
impor... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
As Amy mentioned this to me in one of my PR. | {
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"Thanks. Okay I will look into that. First time contributing to HF. ",
"Try to install the styling package with `pip install -U \"transformers[quality]\"` ๐ ",
"Anything else you can think of? I can't seem to get the setup and quality checks to pass...",
"Hey @nmcahill, the recommended tool to run here is `m... | 1,695 | 1,701 | 1,696 | CONTRIBUTOR | null |
This pr addresses #25994 by adding tokenizer_kwargs as an input preprocessing parameter to the fill mask pipeline.
Attn: @BramVanroy @Narsil.
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"@MKhalusova can you help explain why my code fail the test case, this seem like no problem with my view.",
"Can you provide more context on what this PR is trying to achieve? \r\nAlso, I may not be the right person to ping for a review.",
"I do document, there's something like missing punctuation so I add it, ... | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | Just doing some documents for easier to read
I would like to cc @MKhalusova to review my code. | {
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"Hi, in general we like to use `raise` statements instead of `assert` because the latter are considered more like debugging statements that can be toggled on or off in certain setups.",
"So to catch more debugging information, I switch from using assert to raise. I believe the code I am working on is correct, @st... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | Hi,
I create a concise document outlining the process of improving code readability by replacing 'assert' statements with 'raise' statements, along with the addition of documentation and 'logger.info' statements.
I would like cc @stevhliu to review my PR. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26231). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,695 | 1,698 | 1,698 | COLLABORATOR | null | A bug in nn.Conv2d in PyTorch 2.0.1 on RoCm systems make the output of TVLT significantly diverge vs CPU / Nvidia GPUs. The issue is fixed on nightly and on 2.1.0 RC.
Some slow tests may be affected as well, thus marking as draft for now. Adding relevant tensors / code to reproduce the issue just in case.
[conv2d_m... | {
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