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https://api.github.com/repos/huggingface/transformers/issues/22192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22192/comments | https://api.github.com/repos/huggingface/transformers/issues/22192/events | https://github.com/huggingface/transformers/pull/22192 | 1,626,545,836 | PR_kwDOCUB6oc5MKRDR | 22,192 | Modify electra loss calcualation part | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,679 | 1,679 | NONE | null | `loss_fct(logits.view(-1, self.num_labels), labels.view(-1))` and `loss_fct(logits, labels)` do the same thing, the latter code is more efficient. | {
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"It may be installing old versions of the library so you have to pick up the corresponding version of the example (cc @philschmid for the exact versions)",
"> It may be installing old versions of the library so you have to pick up the corresponding version of the example (cc @philschmid for the exact versions)\r\... | 1,678 | 1,696 | 1,682 | NONE | null | ### System Info
Hello,
I'm trying to train the qa model on SageMaker following the instracution, but I got ```TypeError: __init__() got an unexpected keyword argument 'field'``` issue when try to use my own datasets.
I used SageMaker instance so it already install every dependency in requirements.txt.
I check... | {
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https://api.github.com/repos/huggingface/transformers/issues/22190 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22190/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22190/comments | https://api.github.com/repos/huggingface/transformers/issues/22190/events | https://github.com/huggingface/transformers/pull/22190 | 1,626,013,431 | PR_kwDOCUB6oc5MIdZQ | 22,190 | Regression pipeline device | {
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"Tests pipelines pass for both PyTorch and TF so merging!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22190). All of your documentation changes will be reflected on that endpoint."
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
Fixes the regression introduced by #21479. Basically doing
```py
from transformers import pipeline
classifier = pipeline("text-classification", device=-1)
```
now fails on v4.27.0 whereas it used to work on 4.26.1
This PR fixes this and adds a test to avoid future regression.
Fix... | {
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"cc @Narsil ",
"This will be patched very soon, thanks for reporting!",
"> This will be patched very soon, thanks for reporting!\r\n\r\nThank you for fixing it so quickly:)"
] | 1,678 | 1,679 | 1,678 | NONE | null | ### System Info
System info
``` bash
- `transformers` version: 4.27.0
- Platform: macOS-12.3.1-arm64-arm-64bit
- Python version: 3.8.12
- Huggingface_hub version: 0.13.2
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)... | {
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"cc @younesbelkada ",
"Should be addressed in #22207 ! ",
"hi @tontan1998 \r\nYou can now benefit from XGLM 8bit on the `main` branch of `transformers`:\r\n\r\n```bash\r\npip install git+https://github.com/huggingface/transformers.git\r\n```",
"> hi @tontan1998 You can now benefit from XGLM 8bit on the `main`... | 1,678 | 1,678 | 1,678 | NONE | null | ### System Info
transformers: v4.27.0
### Who can help?
@sgugger @muellerzr
### 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)
### Repro... | {
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https://api.github.com/repos/huggingface/transformers/issues/22187 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22187/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22187/comments | https://api.github.com/repos/huggingface/transformers/issues/22187/events | https://github.com/huggingface/transformers/pull/22187 | 1,625,916,759 | PR_kwDOCUB6oc5MIIbU | 22,187 | Revert 22152 MaskedImageCompletionOutput changes | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Will do a patch asap"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
Reverts the breaking changes introduced by #22152. Temporary fix until it's decided how to change the model output.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](... | {
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"@ydshieh @alaradirik @fxmarty The issue coming from #22152 was an oversight on my part about breaking changes. Perhaps we should revert that PR first and then agree how to introduce this change as it is intended to be added to other vision model? ",
"Oh, I thought it was a new model head! Indeed a breaking chan... | 1,678 | 1,679 | 1,678 | COLLABORATOR | null | # What does this PR do?
Same #22185 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@fxmarty I am just going to open a PR, but you are too fast! Thanks.",
"@ydshieh It could be I missed it elsewhere, so feel free to push here / do an other PR!",
"You have to check your CircleCI setting however. The CI has issue ... | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | Following https://github.com/huggingface/transformers/pull/22152, `logits` is not the right output key name.
cc @alaradirik @amyeroberts | {
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"cc @gante ",
"The following code will reproduce the error:\r\n```python\r\nimport torch\r\nfrom transformers import AutoTokenizer, AutoModel\r\ndevice = 'cuda' if torch.cuda.is_available() else 'cpu'\r\n\r\nclass Wrapper(torch.nn.Module):\r\n \"\"\"\r\n Wrapper for the model to be traced\r\n \"\"\"\r\n ... | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | The original code was causing errors when running torch.jit.trace due to the tensor options being incorrect. I fixed this by using torch.ones to create a tensor with the correct device and dtype. This should resolve the issue with running torch.jit.trace.
# What does this PR do?
This PR fixes a bug that causes erro... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @Baelish03!\r\nCan you move your changes in toctree between *big_models* and *debugging*?\r\n\r\n```\r\n- local: big_models\r\n title: Istanzia... | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22182). All of your documentation changes will be reflected on that endpoint.",
"> I suggest that instead of adapting the logic within the current `Mask2Former` layers and image processor, a new model `Mask2FormerVideo` is ... | 1,678 | 1,685 | 1,685 | CONTRIBUTOR | null | ### What does this PR do?
This PR adds Video Mask2Former model.
Original repo: https://github.com/facebookresearch/Mask2Former/
Mask2Former for Video Instance Segmentation Paper: https://arxiv.org/abs/2112.10764
Co-authored with: @alaradirik
- [x] Update model checkpoints
- [x] Update model cards
- [ ... | {
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"Hi @k3ybladewielder, thanks for raising this issue.\r\n\r\nThe error is coming from python not being able to import a specific scipy module and so isn't a `transformers` related bug per se. \r\n\r\nI would try reinstalling transformers with a package manager and the `sklearn` option as it should install all the ne... | 1,678 | 1,690 | 1,678 | NONE | null | ## Environment info
transformers version: '4.26.1'
Platform: Databricks
the command to import, return the error below
```
from transformers import pipeline
```
```
RuntimeError: Failed to import transformers.pipelines because of the following error (look up to see its traceback):
cannot import name '_renam... | {
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https://api.github.com/repos/huggingface/transformers/issues/22180 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22180/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22180/comments | https://api.github.com/repos/huggingface/transformers/issues/22180/events | https://github.com/huggingface/transformers/pull/22180 | 1,625,374,723 | PR_kwDOCUB6oc5MGTX3 | 22,180 | A script to add/update `pipeline_model_mapping` systematically | {
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"Request @sgugger for review, as he is involved in a few related PRs before. If the core maintainers decide to let @amyeroberts to review, I can provide more context (regarding previous PRs) for her to ease the review process.",
"_The documentation is not available anymore as the PR was closed or merged._",
"I ... | 1,678 | 1,680 | 1,680 | COLLABORATOR | null | # What does this PR do?
This script will ease the process of adding and/or updating `pipeline_model_mapping` in test files in the future, in a systematical way (no manual editing).
This is also one part of the process of [tiny model creation/upload + tiny model info update + **test file update**]
The basic ide... | {
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https://api.github.com/repos/huggingface/transformers/issues/22179 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22179/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22179/comments | https://api.github.com/repos/huggingface/transformers/issues/22179/events | https://github.com/huggingface/transformers/issues/22179 | 1,625,205,160 | I_kwDOCUB6oc5g3qmo | 22,179 | When I use Trainer with Deepspeed, the Number of trainable parameters is 0 | {
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"cc @stas00 ",
"Thank you for the report, @noob-ctrl \r\n\r\nPlease let me know if this fix works for you: https://github.com/huggingface/transformers/pull/22193\r\n",
"@stas00 Hi, it works now. Thank you!",
"Thank you for testing, @noob-ctrl - the PR has been merged."
] | 1,678 | 1,679 | 1,678 | NONE | null | The version information is as follows:
- Deepspeed. 0.8.1
- transformers. 4.26.1
## Problem
When I use Trainer with Deepspeed, the Number of trainable parameters is 0. Like this:

And it happens w... | {
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"I will start working on adding the model !",
"If required I can help as well",
"hello, I want to test the zero shot Image text retrieval of the model on some images and texts, can you help me ?\r\n",
"Is this PR going to be merged soon for Beit3 modules to be available for everyone?"
] | 1,678 | 1,697 | null | CONTRIBUTOR | null | ### Model description
Microsoft just open-sourced BEiTv3: https://github.com/microsoft/unilm/tree/master/beit3
This is a very powerful vision-language model that can be used as backbone for a variety of downstream tasks, from image classification to VQA to object detection.
Time to add it to HF Transformers! :)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22177 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22177/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22177/comments | https://api.github.com/repos/huggingface/transformers/issues/22177/events | https://github.com/huggingface/transformers/pull/22177 | 1,625,031,840 | PR_kwDOCUB6oc5MFIGp | 22,177 | [`bnb`] Let's make serialization of int8 models possible | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The design is not easy enough to use. If a user saves a quantized model and pushes to the Hub, it should work directly with `from_pretrained`. This is why I insisted that the quantization config should be saved inside the model confi... | 1,678 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
Before this PR, it was not possible to save an 8bit model, or load an 8bit model from the Hub. This PR makes this feature possible. If this PR gets merged, users can upload 8bit models on the Hub and/or load 8bit models from the Hub, hence save 2x memory compared to half-precision models.
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"Hi @ksopyla Thanks for raising this issue and for giving all the script and environment details. Could you share the full traceback of the error encountered? \r\n\r\nAlthough I'm not immediately sure where the error is being raised, it is expected that the error occurs if `hidden_size` is being references from the... | 1,678 | 1,682 | 1,682 | NONE | null | ### System Info
System: Ubuntu 22.04
- `transformers` version: 4.26.1
- Platform: Linux-5.4.0-144-generic-x86_64-with-glibc2.29
- Python version: 3.8.13
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/T... | {
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https://api.github.com/repos/huggingface/transformers/issues/22175 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22175/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22175/comments | https://api.github.com/repos/huggingface/transformers/issues/22175/events | https://github.com/huggingface/transformers/issues/22175 | 1,625,003,876 | I_kwDOCUB6oc5g25dk | 22,175 | wav2vec processor batching logic is too restrictive | {
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"cc @sanchit-gandhi @ArthurZucker ",
"Hey @LWprogramming! Thanks for the comprehensive issue description - I agree that the logic for checking if the input `is_batched` is broken when the input is a batched numpy array, e.g. the feature extractor **should** set `is_batched=True` when the numpy array is 2-d, but c... | 1,678 | 1,684 | 1,684 | CONTRIBUTOR | null | ### System Info
transformers version at the time of writing is `4.26.1`
### 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 (... | {
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https://api.github.com/repos/huggingface/transformers/issues/22174 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22174/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22174/comments | https://api.github.com/repos/huggingface/transformers/issues/22174/events | https://github.com/huggingface/transformers/pull/22174 | 1,624,972,604 | PR_kwDOCUB6oc5ME7ZA | 22,174 | [WIP] Add codegeex | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/22173 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22173/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22173/comments | https://api.github.com/repos/huggingface/transformers/issues/22173/events | https://github.com/huggingface/transformers/pull/22173 | 1,624,933,139 | PR_kwDOCUB6oc5MEy3G | 22,173 | Fix DeiT Masked Image Modeling output | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22173). 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... | 1,678 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
Fixes the output of `DeiTForMaskedImageModeling` and `TFDeiTForMaskedImageModeling` by replacing the inaccurate `MaskedLMOutput` with the `MaskedImageCompletionOutput` class.
Follow-up PR on #22152
## Before submitting
- [ X] This PR fixes a typo or improves the docs (you can dismiss th... | {
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"It looks like you accidentally deleted the best checkpoint. To fix this and be able to resume training, I'd advise to manually modify the `training_state` (which should be stored in a file named `trainer_state.json` in the checkpoint-70000 folder) and remove the key for `best_model_checkpoint`.",
"I'm having the... | 1,678 | 1,685 | 1,679 | NONE | null | I am trying to continue training my model (gpt2) from a checkpoint. However, the error occurred in the trainer area when I finished training.
I save a checkpoint for every 5000 steps, but because there is not enough space, the previous checkpoint will be deleted.
The last checkpoint I used was `checkpoint-70000`,... | {
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https://api.github.com/repos/huggingface/transformers/issues/22171 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22171/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22171/comments | https://api.github.com/repos/huggingface/transformers/issues/22171/events | https://github.com/huggingface/transformers/issues/22171 | 1,624,894,882 | I_kwDOCUB6oc5g2e2i | 22,171 | ValueError: Some specified arguments are not used by the HfArgumentParser: ['--local-rank=0'] | {
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"Hi @bestpredicts, thanks for raising this issue. \r\n\r\nI can confirm that I see the same error with the most recent version of transformers and pytorch 2. I wasn't able to replicate the issue with pytorch 1.13.1 and the same transformers version.\r\n\r\nFollowing the messages in the shared error output, if I set... | 1,678 | 1,704 | 1,682 | NONE | null | ### System Info
transformers version 4.7 , pytorch2.0, python3.9
run the example code in document of transformers
```shell
rm -r /tmp/test-clm; CUDA_VISIBLE_DEVICES=0,1 \
python -m torch.distributed.launch --nproc_per_node 2 examples/pytorch/language-modeling/run_clm.py \
--model_name_or_path gpt2 --datase... | {
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https://api.github.com/repos/huggingface/transformers/issues/22170 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22170/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22170/comments | https://api.github.com/repos/huggingface/transformers/issues/22170/events | https://github.com/huggingface/transformers/issues/22170 | 1,624,662,292 | I_kwDOCUB6oc5g1mEU | 22,170 | resume_from_checkpoint is not working with Deepspeed | {
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"Hi @Raibows, you're giving me no reproduction so there is nothing I can do here as i have no idea what you did.\r\n\r\nthere is no need for tag, deepspeed's `save_checkpoint` creates a `latest` file and uses that to find the checkpoint for resume.\r\n\r\nI can send you to a test that validates the resume works - g... | 1,678 | 1,679 | 1,679 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.4.0-139-generic-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/22169 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22169/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22169/comments | https://api.github.com/repos/huggingface/transformers/issues/22169/events | https://github.com/huggingface/transformers/issues/22169 | 1,624,558,030 | I_kwDOCUB6oc5g1MnO | 22,169 | Wrong "view source" links on main docs | {
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"cc @stevhliu ",
"The tag will be out in a couple of hours. The doc for the v4.27.0 release was pushed last night and the rest of the release will follow this morning. Thanks for catching this so quicly!"
] | 1,678 | 1,679 | 1,679 | CONTRIBUTOR | null | ### System Info
NA
### Who can help?
@sgugger
### 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
When viewing the lat... | {
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https://api.github.com/repos/huggingface/transformers/issues/22168 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22168/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22168/comments | https://api.github.com/repos/huggingface/transformers/issues/22168/events | https://github.com/huggingface/transformers/issues/22168 | 1,624,460,056 | I_kwDOCUB6oc5g00sY | 22,168 | (Not So) Bad words list for text generation | {
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"cc @gante ",
"Hey @iiglesias-asapp 👋 Thank you for the suggestion! \r\n\r\nBefore we dive into adding code, a disclaimer -- one of the current problems with `.generate()` is that there are too many options, scaring users away from the docs. This means that I will be conservative before giving the green light to... | 1,678 | 1,687 | 1,687 | NONE | null | ### Feature request
Support a soft penalization logits processor in the transformers generate method (extends NoBadWordsLogitsProcessor).
### Motivation
- The [NoBadWordsLogitsProcessor](https://huggingface.co/docs/transformers/internal/generation_utils#transformers.NoBadWordsLogitsProcessor) forbids the gener... | {
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https://api.github.com/repos/huggingface/transformers/issues/22167 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22167/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22167/comments | https://api.github.com/repos/huggingface/transformers/issues/22167/events | https://github.com/huggingface/transformers/issues/22167 | 1,624,454,672 | I_kwDOCUB6oc5g0zYQ | 22,167 | No checkpoint saved during training | {
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"Hi @lxlxlxx thanks for raising this issue. Could you share which script you're running e.g. `run_mlm.py`? ",
"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... | 1,678 | 1,682 | 1,682 | NONE | null | ### System Info
- `transformers` version: 4.10.0
- Platform: Windows-10-10.0.22000-SP0
- Python version: 3.9.0
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not inst... | {
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"cc @ArthurZucker ",
"Note: If you would like to get matching tokenizing before a fix goes in, installing `ftfy` first should do it.\r\n\r\nInitially looked to fix this specific issue around apostrophes, but it became apparent there were other potential formatting inconsistencies. For example, running the below a... | 1,678 | 1,687 | 1,687 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Windows-10-10.0.22621-SP0
- Python version: 3.8.1
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.12.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not in... | {
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https://api.github.com/repos/huggingface/transformers/issues/22165 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22165/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22165/comments | https://api.github.com/repos/huggingface/transformers/issues/22165/events | https://github.com/huggingface/transformers/issues/22165 | 1,624,260,024 | I_kwDOCUB6oc5g0D24 | 22,165 | TypeError: zero_grad() got an unexpected keyword argument 'set_to_none' | {
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"Yes, this has been fixed already on main. You just need to pull from source :-)",
"ah, thankyou for quick fix. :)"
] | 1,678 | 1,678 | 1,678 | NONE | null | ### System Info
Getting below error while runing Bert pretraining using Huggingface trainer with deepspeed 0.8.2 version and pytorch 2.0RC
Traceback (most recent call last):
File "pretrain_glue.py", line 124, in <module>
result = trainer.train()
File "/opt/conda/envs/env/lib/python3.8/site-packages/trans... | {
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https://api.github.com/repos/huggingface/transformers/issues/22164 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22164/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22164/comments | https://api.github.com/repos/huggingface/transformers/issues/22164/events | https://github.com/huggingface/transformers/issues/22164 | 1,624,044,082 | I_kwDOCUB6oc5gzPIy | 22,164 | Error when running pipeline with whisper and using the 'return_dict_in_generate=True' option | {
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"cc @ArthurZucker ",
"Hey! Thanks for reporting. This is normal as the `pipeline` does not support returning the usual `dictionary`. \r\nWe should probably prevent this behaviour (raise an error when `return_dict_in_generate` is set in the pipeline) cc @Narsil this is a duplicate of another issue but I can't find... | 1,678 | 1,682 | 1,682 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: macOS-13.1-x86_64-i386-64bit
- Python version: 3.9.16
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/22163 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22163/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22163/comments | https://api.github.com/repos/huggingface/transformers/issues/22163/events | https://github.com/huggingface/transformers/pull/22163 | 1,623,964,867 | PR_kwDOCUB6oc5MBjKw | 22,163 | Revert "Enforce same behavior as PyTorch 2.0 for older versions" | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | Reverts huggingface/transformers#22136
As we discovered this was breaking the DeepSpeed integration (and thus potential other integrations wrapping the model), it's safer to revert this change for now. | {
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https://api.github.com/repos/huggingface/transformers/issues/22162 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22162/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22162/comments | https://api.github.com/repos/huggingface/transformers/issues/22162/events | https://github.com/huggingface/transformers/pull/22162 | 1,623,719,145 | PR_kwDOCUB6oc5MAuF3 | 22,162 | Run all tests by default | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
This PR makes the default value for the crosstests PT<>TF and PT<>FLAX true by default. This way when a user runs tests locally, all tests are run (the only exception being the hub staging tests, which require setting an env variable anyway to use moon-staging instead of moon-landing). In the... | {
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"Hey thanks for reporting! ",
"It is possible that this is not the root cause but there is an issue with these lines:\r\n\r\n```python\r\noffset = 0\r\nif has_layer_past:\r\n offset = layer_past[0].shape[-2]\r\n seq_len += offset\r\ncos, sin = self.rotary_emb(value, seq_len=seq_len)\r\nquery, key = apply_ro... | 1,678 | 1,684 | 1,684 | MEMBER | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.4.0-1097-aws-x86_64-with-glibc2.27
- Python version: 3.10.9
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
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https://api.github.com/repos/huggingface/transformers/issues/22159 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22159/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22159/comments | https://api.github.com/repos/huggingface/transformers/issues/22159/events | https://github.com/huggingface/transformers/pull/22159 | 1,623,583,846 | PR_kwDOCUB6oc5MAQy9 | 22,159 | Load optimizer state on CPU to avoid CUDA OOM | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
As reported in #22123 resuming from a checkpoint can get a user out of memory if the optimizer state is loaded directly on GPU. This PR loads it on CPU by default and it will be copied over to the proper device by PyTorch in `load_state_dict`. This might be a bit slower at the checkpoint load... | {
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] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
#21969 Introduced a bug where binary masks would have their values rescaled to between 0-255.
This was because of [this part](https://github.com/huggingface/transformers/blob/4063fd9cba6b72ebfd5c663a307ab9d5ff1a153d/src/transformers/image_transforms.py#L161) of the logic check. The origin... | {
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"Hi @keval2415 - thanks for opening an issue. \r\n\r\nCan you please use the [forum](https://discuss.huggingface.co/) for questions like this. We try to keep the github issues reserved for bugs or feature requests. "
] | 1,678 | 1,678 | 1,678 | NONE | null | ### Model description
Model I am using (LayoutLM ...):
Here, I would like to develop a custom resume parser model that can accurately predict the sections for *EDUCATION*, *SKILLS*, and *EXPERIENCE* based on the resume. I have fine-tuned the *LayoutLMv3* model on a custom dataset that is similar to the *FUNSD* data... | {
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https://api.github.com/repos/huggingface/transformers/issues/22155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22155/comments | https://api.github.com/repos/huggingface/transformers/issues/22155/events | https://github.com/huggingface/transformers/pull/22155 | 1,623,216,672 | PR_kwDOCUB6oc5L_A4S | 22,155 | Fix GPT2 position ids issues | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22155). 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... | 1,678 | 1,682 | 1,682 | COLLABORATOR | null | # What does this PR do?
Follow up PR of #21080 | {
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"Hi @lanlanlan3 - thanks for opening this issue. \r\n\r\nThe reason this error is being thrown is that `\"new_feature\"` won't be padded and therefore the tensors can't be concatenated to create a batch. This can be seen if the inputs passed are lists and the return type not specified: \r\n\r\n```python\r\n>>> sam... | 1,678 | 1,679 | 1,679 | NONE | null | ### System Info
transformers 4.26.1, mac m1, python 3.9.13
### 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 ... | {
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"This is a bit too niche to be added in the Trainer, it might be best to write your own subclass for this."
] | 1,678 | 1,678 | 1,678 | NONE | null | ### Feature request
Specify metric aggregation strategy when evaluating on multiple validation datasets using `Trainer` class. This metric aggregation strategy will output a `metric: Dict[str, float]` by aggregating the metrics computed from the multiple validation sets.
### Motivation
When evaluating on m... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Gently pinging @amyeroberts for the final approval",
"masked-image-completion pipeline sounds awesome 🙌"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | # What does this PR do?
Fixes the output class and docs of `ViTForMaskedImageModeling `which returns images of shape (batch_size, num_channels, height, width) whereas MaskedLMOutput logits are of shape (batch_size, seq_length, vocab_size).
**Notes:**
- We have no checkpoints for `ViTForMaskedImageModeling` and the... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | ## What does this PR do?
Italian translation of doc related to the preprocessing of :hugs: Transformers.
* updated _toctree.yml
* added perf_train_cpu.mdx
* added perf_train_cpu_many.mdx
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).... | {
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"cc @sanchit-gandhi ",
"> \r\n\r\nplease, tell me your opinion on this feature :)"
] | 1,678 | 1,679 | 1,679 | CONTRIBUTOR | null | ### Feature request
Currently, the [Wav2Vec2ProcessorWithLM](https://github.com/huggingface/transformers/blob/ae54e3c3b18bac0832ad62ea9b896dfd52a09850/src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py#L67) decode function returns [only the best hypothesis](https://github.com/huggingface/transfo... | {
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"Hey! Thanks for reporting. This is indeed a bug, will see what we can do to fix that!",
"Hi @zhuango,\r\n\r\nI think your problem is more related to how you trace the model rather than the transformers library itself. Since you're tracing a function (not the model itself), JIT trace knows nothing about model par... | 1,678 | 1,682 | 1,682 | NONE | null | ### System Info
python version, 3.7
transformers version, 4.26.1
### Who can help?
@ArthurZucker, @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or d... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
2 doctests need to update their expected values with torch 2.0.0. (same reason as in #21975) | {
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https://api.github.com/repos/huggingface/transformers/issues/22147 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22147/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22147/comments | https://api.github.com/repos/huggingface/transformers/issues/22147/events | https://github.com/huggingface/transformers/issues/22147 | 1,622,778,172 | I_kwDOCUB6oc5guaE8 | 22,147 | OneFormerProcessor、MaskFormerImageProcessor will cause errors if segmentation_maps only have elements 0 and 1 | {
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"cc @amyeroberts @alaradirik "
] | 1,678 | 1,678 | 1,678 | NONE | null | ### System Info
transformers-4.26.0 do not have this bug
but transformers-4.27.0.dev0 has.
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My ow... | {
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"Hey! Did you try playing with `generation_config` ? All the arguments that you are looking for can either be setup inside, or provided in the `generate` kwargs. Tempertature and penalty length are both availble 😉 not sure about nucleus sampling, but what you are looking for is probably [here](https://huggingface.... | 1,678 | 1,697 | 1,685 | NONE | null | ### System Info
- `transformers` version: 4.27.0.dev0
- Platform: Linux-5.19.0-31-generic-x86_64-with-glibc2.36
- Python version: 3.10.6
- Huggingface_hub version: 0.12.0
- PyTorch version (GPU?): 2.0.0.dev20230209+cu118 (True)
- Tensorflow version (GPU?): 2.11.0 (True)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank @ydshieh and @amyeroberts for your suggestions. In the latest commit, we addressed all of your feedbacks except one that regards to tests inspired from Clip's tests.\r\n@ydshieh Regarding tests, yes, you are right, it will requ... | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | # What does this PR do?
1. Use return_loss in BridgeTowerForContrastiveLearning
2. Update example in BridgeTowerForContrastiveLearning
3. Handles @amyeroberts suggestion from https://github.com/huggingface/transformers/pull/21964 to use smaller vocab_size for BridgeTowerTester
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"_The documentation is not available anymore as the PR was closed or merged._",
"Arg, indeed let's wait a bit to make it the default then and leave the default untouched for now.",
"I made additional fixes, please see the OP for details. Of course, I'm open to suggestions to handle these multiple nuances differ... | 1,678 | 1,679 | 1,678 | CONTRIBUTOR | null | This PR implement the discussion of https://github.com/huggingface/transformers/issues/22141 to
1. add support for the fused version of torch's AdamW. via `--optim adamw_torch_fused`
2. due it being too new, untested and a known bug the fix of which didn't make it into pt-2.0.0 - I did not make `--optim adamw_torch_... | {
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"Actually thought more about it this morning. The gradients accumulated before the save will be lost, so even if we save the `total_batched_samples` variable, we won't be able to resume training with the same gradients (they will be 0 instead of whatever was accumulated before the checkpoint).\r\n\r\nSo I think lea... | 1,678 | 1,682 | 1,682 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/pull/22098 fixed the issue with GAS>1 at the epoch boundary.
the same bug will still happens at resume boundary, since `total_batched_samples` is currently reset to 0.
So need to save `total_batched_samples` and restore from the saved value on resume. | {
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https://api.github.com/repos/huggingface/transformers/issues/22142 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22142/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22142/comments | https://api.github.com/repos/huggingface/transformers/issues/22142/events | https://github.com/huggingface/transformers/issues/22142 | 1,622,150,862 | I_kwDOCUB6oc5gsA7O | 22,142 | fix url post pt-2.0 release | {
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https://pytorch.org/docs/2.0/generated/torch.compile.html?highlight=torch+compile#torch.compile
to:
https://pytorch.org/docs/stable/generated/torch.compile.html?highlight=torch+compile#torch.compile
once the latter doc appears post pt-2.0 release
for the trainer code here:
https://github.com/huggingface... | {
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"Good question! It might also revive the question of switching the optimizer from the HF implementation to the PyTorch one. Maybe we could add `adamw_fused_torch` as an option and then use for the default value of optim:\r\n- `adamw_hf` on PyTorch < 2.0 (as before)\r\n- `adamw_fused_torch` on PyTorch >= 2.0 so that... | 1,678 | 1,679 | 1,678 | CONTRIBUTOR | null | ### Feature request
there is a faster pytorch version of AdamW, it's the fused one. it was added in Feb-23 and will be part of pt-2.0.
`AdamW(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8…, fused=True).`
there is also `Adam` (not `AdamW`) which also has the fused version since pt-1.13 but we don't expose... | {
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https://api.github.com/repos/huggingface/transformers/issues/22140 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22140/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22140/comments | https://api.github.com/repos/huggingface/transformers/issues/22140/events | https://github.com/huggingface/transformers/pull/22140 | 1,622,061,848 | PR_kwDOCUB6oc5L7I5G | 22,140 | Remove backend check for torch.compile | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
Since many of the choices in the list of backends for `torch.compile` do not work, this PR removes any check on the backend selected and let PyTorch itself errors if not happy. This also cleans up a bit the integration and mark everything as experimental. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | updated projected_dim=640 in the argument section of the class AlignConfig | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
This fixes the link to the doc. | {
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https://api.github.com/repos/huggingface/transformers/issues/22137 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22137/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22137/comments | https://api.github.com/repos/huggingface/transformers/issues/22137/events | https://github.com/huggingface/transformers/issues/22137 | 1,621,682,507 | I_kwDOCUB6oc5gqOlL | 22,137 | Return attention_mask in FeatureExtractionPipeline output | {
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"This doesn't seem like a use-case for the pipeline though. Since you want access to the process inputs, you should just used the tokenizer and the model directly.",
"Your comment makes sense. As my goal aligns with the pipeline's main functionality, I think I will subclass `FeatureExtractionPipeline` and make sm... | 1,678 | 1,682 | 1,682 | CONTRIBUTOR | null | ### Feature request
Return `attention_mask` as one output of the FeatureExtractionPipeline so that padding token embeddings can be ignored.
### Motivation
**Who can help?**
@Narsil
When using the `FeatureExtractionPipeline` to generate sentence embeddings, the input to the pipeline processes a raw sentence with ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"hmm, that didn't work on DS side - perhaps they have an old pytorch - checking\r\n\r\n```\r\n2023-03-13T21:25:45.7750922Z Traceback (most recent call last):\r\n2023-03-13T21:25:45.7751317Z File \"/tmp/actions-runner/_work/DeepSpeed... | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
The default of `set_to_none` will change in PyTorch 2.0 because it is slightly better in terms of memory consumption. This PR uses it for all versions of PyTorch in the Trainer. | {
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] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
~~⚠️⚠️ Don't merge before I run it (again) ⚠️⚠️~~
This PR changes docker files / workflow files to use the upcoming torch `2.0.0`.
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yes I can confirm the script provided by the user:\r\n```python\r\nfrom transformers import WhisperFeatureExtractor\r\nfrom transformers import WhisperTokenizer\r\nfrom transformers import WhisperProcessor\r\nfrom transformers import... | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | # What does this PR do?
Fixes: https://github.com/huggingface/peft/issues/173
Fixes: https://github.com/huggingface/transformers/issues/22131
This PR adds `get_input_embeddings` method to `WhisperForAudioClassification` and `WhisperForConditionalGeneration` to avoid some issues such as [here](https://github.co... | {
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"Related PR with images https://huggingface.co/datasets/huggingface/documentation-images/discussions/57",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,699 | 1,678 | CONTRIBUTOR | null | This PR adds the inference task guide for zero-shot image classification. It adds examples of inference with a pipeline and manual inference.
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"cc @younesbelkada @pacman100 ",
"https://github.com/huggingface/transformers/pull/22133 should fix the issue"
] | 1,678 | 1,678 | 1,678 | NONE | null | ### System Info
System: Google Colab Pro
latest version of transformers installed through:
!pip install -q git+https://github.com/huggingface/transformers.git@main
### Who can help?
The code that I used is:
```
from transformers import WhisperFeatureExtractor
from transformers import WhisperTokenizer
from... | {
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"No problem! Yeah I added it because I thought it was incorrectly omitted from LongT5Stack. Should it be removed?",
"_The documentation is not available anymore as the PR was closed or merged._",
"I think your changes are fine and it was something we forgot to add on our side at the first place ! "
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/22125 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22125/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22125/comments | https://api.github.com/repos/huggingface/transformers/issues/22125/events | https://github.com/huggingface/transformers/pull/22125 | 1,621,422,142 | PR_kwDOCUB6oc5L4_5- | 22,125 | Fix gradient checkpointing bug in Trajectory Transformer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/22124 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22124/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22124/comments | https://api.github.com/repos/huggingface/transformers/issues/22124/events | https://github.com/huggingface/transformers/pull/22124 | 1,621,350,328 | PR_kwDOCUB6oc5L4wYH | 22,124 | [`Blip2`] skip accelerate test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I am trained by @sgugger 's words and my prediction of the response to this PR is\r\n\r\nYes\r\n```\r\nthe test doesn't make sense for tiny models and triggers some undefined behaviors.\r\nProbably better to just skip it at this stag... | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | # What does this PR do?
This PR skips a test that is currently failing: https://github.com/huggingface/transformers/actions/runs/4395315343/jobs/7697061404
The tiny BLIP2 models uses T5 as a text decoder, that is itself having a parameter named `shared` that is tied with 3 other parameters of the model: `encoder.... | {
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https://api.github.com/repos/huggingface/transformers/issues/22123 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22123/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22123/comments | https://api.github.com/repos/huggingface/transformers/issues/22123/events | https://github.com/huggingface/transformers/issues/22123 | 1,621,164,374 | I_kwDOCUB6oc5goQFW | 22,123 | CUDA OOM when loading optimizer state dict | {
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"cc @sgugger ",
"I tried to find the reference to the issue mentioning a CPU OOM but couldn't find it. Do you have a link handY?\r\nWe could always load the weights on the CPU then move them which would be a tiny bit slower, but this just happens once. With models getting bigger and bigger it's probably makes sen... | 1,678 | 1,678 | 1,678 | NONE | null | ### System Info
I am finetuning GPT NEO 1.3B with 1 GPU and 24GB VRAM.
From scratch, model weights load and train fine with <1GB of memory to spare.
When loading from checkpoint, I run into issues loading optimizer states.
https://github.com/huggingface/transformers/blob/04bfac83b793b757e7b33188f88eebe21ac65ef... | {
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https://api.github.com/repos/huggingface/transformers/issues/22122 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22122/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22122/comments | https://api.github.com/repos/huggingface/transformers/issues/22122/events | https://github.com/huggingface/transformers/issues/22122 | 1,620,937,575 | I_kwDOCUB6oc5gnYtn | 22,122 | device_map='auto' doesn't use MPS backend on Apple M2 | {
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"MPS devices are indeed not supported with `device_map=\"auto\"` yet. As a workaround you should just move your model to that device manually.",
"> MPS devices are indeed not supported with `device_map=\"auto\"` yet. As a workaround you should just move your model to that device manually.\r\n\r\nHow to move the m... | 1,678 | 1,695 | 1,682 | NONE | null | With the following program:
```
import os
import time
import readline
import textwrap
os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
os.environ["HF_ENDPOINT"] = "https://huggingface.co"
os.environ["ACCELERATE_USE_MPS_DEVICE"] = "True"
import torch
from transformers import AutoTokenizer, AutoModelForC... | {
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https://api.github.com/repos/huggingface/transformers/issues/22121 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22121/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22121/comments | https://api.github.com/repos/huggingface/transformers/issues/22121/events | https://github.com/huggingface/transformers/issues/22121 | 1,620,907,145 | I_kwDOCUB6oc5gnRSJ | 22,121 | Can not init BertTokenizerFast | {
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"Not sure I understand, to use `TokenizerFast` you need the tokenizers llibrary. \r\nEither use:\r\n```python\r\n>>> from transformers import BertTokenizer\r\n>>> BertTokenizer \r\n```\r\nOr run `pip install tokenizers`. \r\nThis is not an issue but expected.",
"What is the tokenizers llibrary? and how to install... | 1,678 | 1,678 | 1,678 | NONE | null | ### System Info
Linux
python3.7
tokenizers 0.12.1
transformers 4.26.1
@ArthurZucker
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the... | {
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https://api.github.com/repos/huggingface/transformers/issues/22120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22120/comments | https://api.github.com/repos/huggingface/transformers/issues/22120/events | https://github.com/huggingface/transformers/issues/22120 | 1,620,757,390 | I_kwDOCUB6oc5gmsuO | 22,120 | `No such file or directory` when setting `cache_dir` | {
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"I just tried your code sample and it runs without issue on both main and 4.26.1. Are you sure `\"cache_model\"` is in a folder you have write access to?",
"hi @sgugger, you are correct, I just made a fresh virtualenv and my snippet indeed does work. However, it doesn't work in my dev environment, nor in my proje... | 1,678 | 1,682 | 1,682 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: macOS-13.1-arm64-arm-64bit
- Python version: 3.10.9
- Huggingface_hub version: 0.13.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/22119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22119/comments | https://api.github.com/repos/huggingface/transformers/issues/22119/events | https://github.com/huggingface/transformers/issues/22119 | 1,620,576,694 | I_kwDOCUB6oc5gmAm2 | 22,119 | Trainer removes columns before transform is called | {
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"Ah, I've re-read through the parameter lists for everything and found `remove_unused_columns=False` in `TrainingArguments`. Setting this resolves the issue, so I guess this won't be considered a bug. I think there's room for improvement in the UX though, perhaps a warning \"After removing unused columns, there wer... | 1,678 | 1,700 | 1,682 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.31
- Python version: 3.10.8
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not... | {
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"The model is not in Transformers 4.26.1, you need to [install from source](https://huggingface.co/docs/transformers/installation#install-from-source) to get access to it.",
"Thanks!"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.4.0-132-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.12.0
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22117 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22117/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22117/comments | https://api.github.com/repos/huggingface/transformers/issues/22117/events | https://github.com/huggingface/transformers/issues/22117 | 1,620,427,570 | I_kwDOCUB6oc5glcMy | 22,117 | wav2vec2 with lm on persian doesn't seem to work | {
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"cc @sanchit-gandhi ",
"any help?! @sanchit-gandhi ",
"Hey @tntchack,\r\n\r\nNote the adding a LM does not always improve model performance it really depends on what data you train your LM-ngram on. \r\nWhile the LM-ngram will not make it impossible for the model to generate spelling errors / unigram errors it ... | 1,678 | 1,683 | 1,683 | NONE | null | ### System Info
transformers version : 4.26.1
Platform: colab
Python version: 3.9.16
PyTorch version (GPU?): 1.13.1+cu116 (False)
Tensorflow version (GPU?): not installed (NA)
Flax version (CPU?/GPU?/TPU?): not installed (NA)
Jax version: not installed
JaxLib version: not installed
Using GPU in script?: No ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22116 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22116/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22116/comments | https://api.github.com/repos/huggingface/transformers/issues/22116/events | https://github.com/huggingface/transformers/pull/22116 | 1,620,421,937 | PR_kwDOCUB6oc5L1sdK | 22,116 | Add pr_checks.mdx Italian translation (#17459) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@omarespejel @sgugger for me is ok.\nThanks @alexcalabrese "
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | ## What does this PR do?
Italian translation of doc related to the checks on a PR of :hugs: Transformers.
* updated _toctree.yml
* added pr_checks.mdx
## 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... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | ## What does this PR do?
Italian translation of doc related to the preprocessing of :hugs: Transformers.
* updated _toctree.yml
* added big_models.mdx
## 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/22114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22114/comments | https://api.github.com/repos/huggingface/transformers/issues/22114/events | https://github.com/huggingface/transformers/issues/22114 | 1,620,400,990 | I_kwDOCUB6oc5glVte | 22,114 | FastTokenizer for LLaMa | {
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"Let's maybe wait for the LLaMa PR to be merged first?",
"it is fix on tokenizers\n\nhttps://github.com/huggingface/tokenizers/pull/1183",
"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\nPl... | 1,678 | 1,683 | 1,683 | CONTRIBUTOR | null | ### Feature request
FastTokenizer support for LLaMa sentencepiece tokenizer.
### Motivation
The offset_mapping is only available in FastTokenizer, it would be useful if there's support for this.
### Your contribution
I have tried using existing sentencepiece based model as replacement. However hf conversation code... | {
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https://api.github.com/repos/huggingface/transformers/issues/22113 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22113/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22113/comments | https://api.github.com/repos/huggingface/transformers/issues/22113/events | https://github.com/huggingface/transformers/issues/22113 | 1,620,362,527 | I_kwDOCUB6oc5glMUf | 22,113 | Make GPT2ForSequenceClassification computationllay efficient | {
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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... | 1,678 | 1,681 | 1,681 | CONTRIBUTOR | null | ### Feature request
Compute the logits using only the hidden state for the last position of the input sequence.
### Motivation
The current GPT2ForSequenceClassification module computes logits using all hidden states, which computationally cost is proportional to the length of the input sequence.
https://gith... | {
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https://api.github.com/repos/huggingface/transformers/issues/22112 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22112/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22112/comments | https://api.github.com/repos/huggingface/transformers/issues/22112/events | https://github.com/huggingface/transformers/issues/22112 | 1,620,238,456 | I_kwDOCUB6oc5gkuB4 | 22,112 | Time spent on engine.step() increased strangely | {
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"cc @stas00 ",
"- The first few steps lead to an OVERFLOW so optimizer didn't run and thus was fast. it then adjusted the scaling factor each step until it reached one that didn't lead to an overflow and thus it did the first optimizer step.\r\n- then you can see from the warning that your setup is misconfigured ... | 1,678 | 1,685 | 1,685 | NONE | null | ### System Info
I'm using Deepspeed's zero3 with optimizer offload. Time spent on step() increased from ~100ms to 10,000+ ms after a few steps. The CPU memory in occupied ~350G (500G in total).
- `transformers` version: 4.26.1
- Platform: Linux-4.15.0-189-generic-x86_64-with-glibc2.17
- Python version: 3.8.16
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22111 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22111/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22111/comments | https://api.github.com/repos/huggingface/transformers/issues/22111/events | https://github.com/huggingface/transformers/issues/22111 | 1,620,236,723 | I_kwDOCUB6oc5gktmz | 22,111 | error when using from indobenchmark | {
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"Hey! The `tokenizer_class` that was set in the configuration.json is wrong as the `IndoNLGTokenizer` does not exist in transformers. You should try to ask the other of the model on the community tab how to use it, or try to use: \r\n```python \r\nfrom transformers import MBartTokenizer\r\ntokenizer = MBartTokenize... | 1,678 | 1,682 | 1,682 | NONE | null | ### System Info
```
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("indobenchmark/indobart-v2")
```
the error
`ValueError: Tokenizer class IndoNLGTokenizer does not exist or is not currently imported.`
any help guys?
### Who can help?
@ArthurZucker
### Information
- [ ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22110/comments | https://api.github.com/repos/huggingface/transformers/issues/22110/events | https://github.com/huggingface/transformers/issues/22110 | 1,620,093,281 | I_kwDOCUB6oc5gkKlh | 22,110 | Overestimated number of training epochs in Trainer | {
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"Thanks for the report! Would you like to suggest a PR with your fix?",
"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... | 1,678 | 1,682 | 1,682 | NONE | null | ### System Info
- `transformers` version: 4.26.0
- Platform: Linux-5.4.0-136-generic-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.12.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)... | {
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https://api.github.com/repos/huggingface/transformers/issues/22109 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22109/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22109/comments | https://api.github.com/repos/huggingface/transformers/issues/22109/events | https://github.com/huggingface/transformers/pull/22109 | 1,620,076,570 | PR_kwDOCUB6oc5L0sUI | 22,109 | Add tensor flow whisper model for audio classification | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22109). All of your documentation changes will be reflected on that endpoint.",
"I just had a few questions on how to proceed with adding the TensorFlow Whisper model, just to make sure I'm on the right track. \r\n\r\n(1) J... | 1,678 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Adding support for audio classification within TensorFlow whisper model
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | MEMBER | null | # What does this PR do?
Trainer's `predict_with_generate` seems to have been designed for an older version of `.generate()`, where manual selection of the inputs was needed. The current version of `.generate()` can do it on its own. This is particularly relevant for multimodal models, which can take more than one mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/22107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22107/comments | https://api.github.com/repos/huggingface/transformers/issues/22107/events | https://github.com/huggingface/transformers/issues/22107 | 1,620,053,629 | I_kwDOCUB6oc5gkA59 | 22,107 | CLIPTokenizer problems in from pretrained on version 4.25.1 | {
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"Hey!\r\nAs you mention, you are creating an empty directory with the same name. The priority is given to local folders, which explains why you are having this issue. Either delete the empty folder or save a tokenizer inside it 😉 ",
"I have tried to delete the empty folder, but it just keeps coming back, even wh... | 1,678 | 1,682 | 1,682 | NONE | null | ### System Info
WARNING:tensorflow:From D:\Stable Diffusion\SD New\stable-diffusion-webui\venv\lib\site-packages\transformers\commands\env.py:52: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.list_physi... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22105). All of your documentation changes will be reflected on that endpoint.",
"Hey @ArthurZucker any updates on this? ETA for when it will be merged into main?",
"Hey! Just got back from holidays, this should be my main... | 1,678 | 1,707 | null | COLLABORATOR | null | # What does this PR do?
Refactor both Deberta and DebertaV2 to make them more compatible with the overall transformers library
Should fix a bunch of issues related to torch-scripting with Deberta:
- #15216
- #15673
- #16456
- #18659
- #21300
- #20815
- #12436
- #18674
- help supporting the Prefix_Tuning... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"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 gu... | 1,678 | 1,687 | 1,686 | CONTRIBUTOR | null | This PR added a time series patching - PatchTST
Fixes https://github.com/huggingface/transformers/issues/22075
@kashif
Kashif impl in gluonTS: https://github.com/awslabs/gluonts/pull/2748 | {
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https://api.github.com/repos/huggingface/transformers/issues/22103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22103/comments | https://api.github.com/repos/huggingface/transformers/issues/22103/events | https://github.com/huggingface/transformers/issues/22103 | 1,619,921,233 | I_kwDOCUB6oc5gjglR | 22,103 | FLAVA not doing a forward pass | {
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"Hi @amariucaitheodor . Thank you for reporting the issue!\r\n\r\nCould you also copy-paste the error (traceback) you got to your above PR description? Thanks.",
"I tried the colab and found the issue. Specifically, the code which is used for calculating input_ids and input_ids_masked is incorrect as the `torch_m... | 1,678 | 1,678 | 1,678 | NONE | null | ### System Info
- `transformers` version: 4.27.0.dev0
- Platform: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.12.0
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/22102 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22102/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22102/comments | https://api.github.com/repos/huggingface/transformers/issues/22102/events | https://github.com/huggingface/transformers/pull/22102 | 1,619,918,093 | PR_kwDOCUB6oc5L0OGb | 22,102 | [neptune] fix checkpoint bug with relative out_dir | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger Thanks for taking a look. Will update the PR description in sometime (probably today or early tomorrow) to have more information. Will ping once that is done.",
"@sgugger have updated the PR description. Let me know if tha... | 1,678 | 1,679 | 1,679 | CONTRIBUTOR | null | # What does this PR do?
It takes care of the following:
* Updates to NeptuneCallback aligned with Neptune 1.0 release : https://docs.neptune.ai/setup/neptune-client_1-0_release_changes/
* It also fixes the case where we silently don't log the model_checkpoints when `output_dir` argument has a relative path of the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22101/comments | https://api.github.com/repos/huggingface/transformers/issues/22101/events | https://github.com/huggingface/transformers/issues/22101 | 1,619,885,644 | I_kwDOCUB6oc5gjX5M | 22,101 | [Benchmark] HF Trainer optimizers (Mar-2023) | {
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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... | 1,678 | 1,683 | 1,682 | CONTRIBUTOR | null | This is a rerun of Adam torch vs. apex vs HF vs adafactor [RTX-3090](https://github.com/huggingface/transformers/issues/14608#issuecomment-1005219385), [A100](https://github.com/huggingface/transformers/issues/15026#issuecomment-1005220263) but added BNB's 8bit Adam optimizer and probably the software has improved/chan... | {
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https://api.github.com/repos/huggingface/transformers/issues/22100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22100/comments | https://api.github.com/repos/huggingface/transformers/issues/22100/events | https://github.com/huggingface/transformers/issues/22100 | 1,619,879,273 | I_kwDOCUB6oc5gjWVp | 22,100 | Transformers cannot recognise `config.json` even though it is in model directory | {
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"`model = AutoModelForCausalLM.from_pretrained(\"models--gptjchatbot_model\")` cannot work, you need to specify the whole path to the folder on your local steup.",
"Modified line 8\r\n`model = AutoModelForCausalLM.from_pretrained(\"G:\\.cache\\models--gptjchatbot_model\\\")`\r\n\r\ngot this error\r\n\r\n```\r\n ... | 1,678 | 1,682 | 1,682 | NONE | null |
I ran this code:
```
import os
os.environ['TRANSFORMERS_CACHE'] = 'G:\.cache'
from transformers import AutoModelForCausalLM, AutoTokenizer, PretrainedConfig
#config = PretrainedConfig('G:\.cache\models--gptjchatbot_model\config.json') tried this but doesn't work well
model = AutoModelForCausalLM.from_pr... | {
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https://api.github.com/repos/huggingface/transformers/issues/22099 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22099/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22099/comments | https://api.github.com/repos/huggingface/transformers/issues/22099/events | https://github.com/huggingface/transformers/pull/22099 | 1,619,877,067 | PR_kwDOCUB6oc5L0GOM | 22,099 | [deepspeed docs] Activation Checkpointing | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | Add a section on Activation Checkpointing. Even though we don't support Deepspeed Activation Checkpointing API nevertheless document it and clarify what's what to help the user achieve clarity and make the right choices (and not file Issues ;) | {
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https://api.github.com/repos/huggingface/transformers/issues/22098 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22098/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22098/comments | https://api.github.com/repos/huggingface/transformers/issues/22098/events | https://github.com/huggingface/transformers/pull/22098 | 1,619,796,207 | PR_kwDOCUB6oc5Lz1je | 22,098 | [trainer] fix bug in grad accum with multiple epochs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | Please see https://github.com/huggingface/transformers/issues/22082 for the analysis printout of the problem.
But basically we have a bug in grad accum machinery when `steps_in_epoch % gradient_accumulation_steps != 0`
we always check for `step+1 % gradient_accumulation_steps != 0` and when we hit the epoch bound... | {
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https://api.github.com/repos/huggingface/transformers/issues/22097 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22097/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22097/comments | https://api.github.com/repos/huggingface/transformers/issues/22097/events | https://github.com/huggingface/transformers/pull/22097 | 1,619,707,817 | PR_kwDOCUB6oc5Lzi9r | 22,097 | t5 remove data dependency | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Cool! Thanks for this contribution! Pretty sure that this can also be applied to `SwitchTransformers` (as it implements the similar procedure) and ~`MT5`~ LongT5",
"Let's maybe address this in a follow up PR no? Btw this PR include... | 1,678 | 1,678 | 1,678 | CONTRIBUTOR | null | # What does this PR do?
Prevents clamping logic from being skipped by torch.onnx tracer by moving data-dependent inf check into fp16-specific training code. Unclamped inf results in NaN being returned during loss calculation and eventually will crash with the following error:
```bash
Traceback (most recent call ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22096 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22096/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22096/comments | https://api.github.com/repos/huggingface/transformers/issues/22096/events | https://github.com/huggingface/transformers/issues/22096 | 1,619,694,010 | I_kwDOCUB6oc5gipG6 | 22,096 | Use torch.TensorDicts: The output of tokenizers.batch_encode_plus/__call__ could be made to inherit from torch TensorDicts | {
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"The result of the tokenizer calls can already interact with the `to` method (note that batch_encode_plus will be deprecated sometime soon) but I agree it could be interesting to look at this! The main challenge I see is that it's not packaged in PyTorch main so would require an extra dep...",
"This issue has bee... | 1,678 | 1,681 | 1,681 | NONE | null | ### Feature request
Tensor dicts have recently come out as a way to manipulate dicts of tenors in a way that is analogous to pandas, eg to make it easy to work on columns on tensors that share some property and a batch dimension or set of dimensions
https://pytorch.org/rl/tensordict/
An obvious application of this... | {
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https://api.github.com/repos/huggingface/transformers/issues/22095 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22095/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22095/comments | https://api.github.com/repos/huggingface/transformers/issues/22095/events | https://github.com/huggingface/transformers/pull/22095 | 1,619,666,068 | PR_kwDOCUB6oc5LzaIA | 22,095 | Fix big model inference for T5 models in float16 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
This PR fixes big model inference for large T5 models. The problem is that T5 models have some weights kept in float32, which interferes with the computation of `infer_auto_device_map`. Accelerate adds the functionality to deal with this in [this PR](https://github.com/huggingface/accelerate/... | {
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https://api.github.com/repos/huggingface/transformers/issues/22094 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22094/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22094/comments | https://api.github.com/repos/huggingface/transformers/issues/22094/events | https://github.com/huggingface/transformers/issues/22094 | 1,619,640,331 | I_kwDOCUB6oc5gicAL | 22,094 | SearchSummarizationPipeline - 'object has no attribute' error | {
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I am facing the below error while initializing SearchSummarizationPipeline. I am using latest haystack version and python 3.10.
```
pipe3 = SearchSummarizationPipeline(summarizer=summarizer,retriever=retriever,generate_single_summary=False,return_in_answer_format=True)
Traceback (most recent call last):
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22093/comments | https://api.github.com/repos/huggingface/transformers/issues/22093/events | https://github.com/huggingface/transformers/pull/22093 | 1,619,613,684 | PR_kwDOCUB6oc5LzPPq | 22,093 | Revert "[GPT2] Propose fix for #21080" | {
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"Tested locally - all good now. Will merge once CI is green too (already discussed offline)"
] | 1,678 | 1,678 | 1,678 | COLLABORATOR | null | Reverts huggingface/transformers#21853
A few PT/TF and PT/Flax cross tests started to fail after #21853. Revert that PR for now. We need to look what went wrong (and why it is not reported in the PR CI)
```
FAILED tests/models/gpt2/test_modeling_tf_gpt2.py::TFGPT2ModelTest::test_pt_tf_model_equivalence - Asserti... | {
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"Interesting! Can you document exactly what error you got with the compile step and what code you ran to cause them?",
"Hi @Rocketknight1 \r\nI misremembered- the error is not after `model.compile()` - compiling a model with a different loss function, added metrics, a custom loss, or custom metrics all compile w/... | 1,678 | 1,680 | 1,680 | NONE | null | ### Feature request
I am playing with the awesome [Segformer finetuning example on the Keras website](https://keras.io/examples/vision/segformer/) made by @sayakpaul that relies on HF Transformers. In this example no loss function nor any metrics are specified in `model.compile()` . I would like to be able to add met... | {
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