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https://api.github.com/repos/huggingface/transformers/issues/25624 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25624/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25624/comments | https://api.github.com/repos/huggingface/transformers/issues/25624/events | https://github.com/huggingface/transformers/pull/25624 | 1,858,793,987 | PR_kwDOCUB6oc5YWwbR | 25,624 | Fix PEFT integration failures on nightly CI | {
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"Sounds great, thank you all !",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fixes all failing CIs when PEFT is installed that has the error:
```bash
TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType
```
The failing tests are `test_from_pretrained_no_checkpoint` tests that calls `xxx.from_pretrained()` with model_id explicitly... | {
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https://api.github.com/repos/huggingface/transformers/issues/25623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25623/comments | https://api.github.com/repos/huggingface/transformers/issues/25623/events | https://github.com/huggingface/transformers/pull/25623 | 1,858,627,362 | PR_kwDOCUB6oc5YWMQP | 25,623 | Ignore all exceptions from signal in dynamic code | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
#25613 shows we can have different exception types coming from `signal` when asking the user if they want to trust remote code or not. This PR ignores them all.
As a reminder this is only a convenience function trying to help the user that did not set `trust_remote_code=True`, so the errors ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25622/comments | https://api.github.com/repos/huggingface/transformers/issues/25622/events | https://github.com/huggingface/transformers/issues/25622 | 1,858,585,997 | I_kwDOCUB6oc5ux8WN | 25,622 | mismatch error of loading CLIPVisionModelWithProjection | {
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"cc @younesbelkada and @amyeroberts ",
"Hi @garychan22, thanks for raising this issue! \r\n\r\nThis is happening because the value of `projection_dim` being using in the [CLIPVisionModelWithProjection](https://github.com/huggingface/transformers/blob/908f853688c4d523780797f27f83af3c10418e92/src/transformers/model... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
Hi, I am trying to load the pretrained image encoder from laion/CLIP-ViT-bigG-14-laion2B-39B-b160k using
```
clip_vision_model = CLIPVisionModelWithProjection.from_pretrained("laion/CLIP-ViT-bigG-14-laion2B-39B-b160k")
```
and the following error appears
```
RuntimeError: Error(s) in loadi... | {
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https://api.github.com/repos/huggingface/transformers/issues/25621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25621/comments | https://api.github.com/repos/huggingface/transformers/issues/25621/events | https://github.com/huggingface/transformers/issues/25621 | 1,858,516,152 | I_kwDOCUB6oc5uxrS4 | 25,621 | data2vec-audio returns different results with padded input | {
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"I just noticed this in the documentation: https://huggingface.co/docs/transformers/model_doc/data2vec#transformers.Data2VecAudioModel.forward.attention_mask\r\n\r\n> For all models whose processor has config.return_attention_mask == False, such as [data2vec-audio-base](https://huggingface.co/facebook/data2vec-audi... | 1,692 | 1,698 | 1,698 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-79-generic-x86_64-with-glibc2.31
- Python version: 3.10.9
- 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 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/25620 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25620/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25620/comments | https://api.github.com/repos/huggingface/transformers/issues/25620/events | https://github.com/huggingface/transformers/issues/25620 | 1,858,274,016 | I_kwDOCUB6oc5uwwLg | 25,620 | TimeSeriesTransformerForPrediction model unused parameters Runtime error in Distributed environment | {
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"cc @kashif ",
"thanks @maeschbacher having a look",
"I don't think @kashif will have time to look at this, so marking as Good Difficult issue. "
] | 1,692 | 1,704 | null | NONE | null | ### System Info
transformers==4.31
accelerate==0.21
I'm trying to run TimeSeriesTransformerForPrediction in a distributed environment based on the following notebook: https://huggingface.co/blog/time-series-transformers
If I run the notebook as is I get the following error immediately after the first loss is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25619 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25619/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25619/comments | https://api.github.com/repos/huggingface/transformers/issues/25619/events | https://github.com/huggingface/transformers/pull/25619 | 1,858,258,486 | PR_kwDOCUB6oc5YU_t1 | 25,619 | Knowledge distillation for vision guide | {
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"@sayakpaul I changed the setup and didn't observe a lot of difference, but I felt like it would be still cool to show how to distill a model. WDYT?",
"cc @rafaelpadilla for reference",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25619). All of your documentation c... | 1,692 | 1,697 | 1,697 | CONTRIBUTOR | null | This is a draft PR that I opened in the past on KD guide for CV, but I accidentally removed my fork. I prioritized TGI docs so this PR might stay stale for a while, I will ask for a review after I iterate over comments left by @sayakpaul in my previous PR. (Mainly training MobileNet with random initial weights and not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25618 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25618/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25618/comments | https://api.github.com/repos/huggingface/transformers/issues/25618/events | https://github.com/huggingface/transformers/issues/25618 | 1,858,245,347 | I_kwDOCUB6oc5uwpLj | 25,618 | AttributeError: 'CTCTrainer' object has no attribute 'scaler' | {
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"cc @sanchit-gandhi but for research projects in `examples` you should make sure you are using the pinned version of `transformers`. (also share the output of `transformers-cli env` when you submit an issue",
"Hey @aprzez - the examples script referenced is quite outdated and no longer maintained. It uses the Hug... | 1,692 | 1,695 | 1,695 | NONE | null | When attempting to fine-tune Wav2Vec2 XLSR on my own dataset I get this error once training starts: "AttributeError: 'CTCTrainer' object has no attribute 'scaler'"
I followed the steps outlined here and as far as I can tell have all the necessary packages installed in my conda environment: https://github.com/hugging... | {
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https://api.github.com/repos/huggingface/transformers/issues/25617 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25617/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25617/comments | https://api.github.com/repos/huggingface/transformers/issues/25617/events | https://github.com/huggingface/transformers/issues/25617 | 1,858,156,785 | I_kwDOCUB6oc5uwTjx | 25,617 | Add Context AutoEncoder (CAE) | {
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"I would like to work towards adding this model to huggingface transformers @NielsRogge\r\n\r\n",
"cc @amyeroberts @rafaelpadilla ",
"Hi @charlesCXK, thanks for opening this model request! \r\n\r\nThe easiest and recommended way to make a model available in `transformers` is to add the modeling code directly on... | 1,692 | 1,692 | null | NONE | null | ### Model description
**The corresponding paper has been accepted by International Journal of Computer Vision (IJCV).**
We present a novel masked image modeling (MIM) approach, context autoencoder (CAE), for self-supervised representation pretraining. We pretrain an encoder by making predictions in the encoded repr... | {
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transformer: 4.24.0
python: 3.8.13
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/25615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25615/comments | https://api.github.com/repos/huggingface/transformers/issues/25615/events | https://github.com/huggingface/transformers/issues/25615 | 1,857,947,996 | I_kwDOCUB6oc5uvglc | 25,615 | Huggingface Transformers; Polyglot-12.8b (GPT-Neox); You may consider adding `ignore_mismatched_sizes=True` in the model `from_pretrained` | {
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"Hey! Not sure we can debug your script for you. You should check your saved models and make sure the configurations are alright. Since you modified the script, you might have better luck on [the forum](https://discuss.huggingface.co/) "
] | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
[What I used]
1. Polyglot-12.8b(GPT-Neox based, https://huggingface.co/EleutherAI/polyglot-ko-12.8b)
2. transformer version: 4.32.0.dev0
3. trainer: transformers run_clm_no_trainer(accelerate) (https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/run_clm_no_traine... | {
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https://api.github.com/repos/huggingface/transformers/issues/25614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25614/comments | https://api.github.com/repos/huggingface/transformers/issues/25614/events | https://github.com/huggingface/transformers/issues/25614 | 1,857,846,652 | I_kwDOCUB6oc5uvH18 | 25,614 | Add MovieChat Model | {
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"I would like to work towards adding this model to huggingface transformers @NielsRogge @amyeroberts ",
"@kumar-devesh Great! Feel free to open a PR and tag us or @rafaelpadilla when it's ready for review. Let us know if you have any questions about adding the model to the library.",
"which models can I use as ... | 1,692 | 1,696 | null | NONE | null | ### Model description
MovieChat proposes a Vision Foundation model + LLM + Long short-term memory-based solution to long-range video understanding addressing computation, memory, and long-range temporal understanding challenges using transformer model tokens as a fixed amount of memory.
Project Page: https://rese1f.g... | {
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https://api.github.com/repos/huggingface/transformers/issues/25613 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25613/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25613/comments | https://api.github.com/repos/huggingface/transformers/issues/25613/events | https://github.com/huggingface/transformers/issues/25613 | 1,857,802,645 | I_kwDOCUB6oc5uu9GV | 25,613 | ValueError: signal only works in main thread of the main interpreter | {
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"While the error is not informative (should be fixed in the PR mentioned above) this is because you are using a model using code not in the Transformers library so you need to set `trust_remote_code=True` in your call to `from_pretrained` after making sure the code in the folder `falcon` does not contain anything m... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
My requirements.txt is this:
accelerate==0.21.0
aiohttp==3.8.5
aiosignal==1.3.1
altair==5.0.1
anyio==3.7.1
async-timeout==4.0.3
attrs==23.1.0
backoff==2.2.1
beautifulsoup4==4.12.2
bitsandbytes==0.41.1
blinker==1.6.2
bs4==0.0.1
cachetools==5.3.1
certifi==2023.7.22
cffi==1.15.1
charset-... | {
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https://api.github.com/repos/huggingface/transformers/issues/25612 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25612/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25612/comments | https://api.github.com/repos/huggingface/transformers/issues/25612/events | https://github.com/huggingface/transformers/pull/25612 | 1,857,768,857 | PR_kwDOCUB6oc5YTebk | 25,612 | Add Blip2ForImageTextRetrieval for multimodal feature extraction | {
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"- The weights of the original blip2 itm model are converted into Blip2ForImageTextRetrieval.\r\n- the features are extracted following https://github.com/salesforce/LAVIS/blob/main/lavis/models/blip2_models/blip2_qformer.py#L418",
"cc @amyeroberts and @rafaelpadilla !",
"The docs for this PR live [here](https:... | 1,692 | 1,707 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
Add Blip2ForImageTextRetrieval model to be able to extract text,image,multimodal. similar to extract_features method in the original implementation.
Fixes part of #25300 #25245
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25611 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25611/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25611/comments | https://api.github.com/repos/huggingface/transformers/issues/25611/events | https://github.com/huggingface/transformers/issues/25611 | 1,857,685,697 | I_kwDOCUB6oc5uugjB | 25,611 | special token ids are different in LlamaTokenizerFast | {
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"Could you try using #23909. I believe the order of token addition is wrong. ",
"> Could you try using #23909. I believe the order of token addition is wrong.\r\n\r\nI'm sorry but could you please tell about more details about the solution? I didn't call `add_special_tokens` and just loaded the tokenizer model in... | 1,692 | 1,695 | 1,695 | NONE | null | Recently we are working on a model based on Llama. When I;m trying to convert our `tokenizer.model` to `tokenizers`, a problem occurs.
`tokenizer.model`'s vocab is expanded to fit our model:
```python
from transformers import LlamaTokenizer, LlamaTokenizerFast
from sentencepiece import SentencePieceProcessor
f... | {
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https://api.github.com/repos/huggingface/transformers/issues/25610 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25610/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25610/comments | https://api.github.com/repos/huggingface/transformers/issues/25610/events | https://github.com/huggingface/transformers/issues/25610 | 1,857,598,987 | I_kwDOCUB6oc5uuLYL | 25,610 | Model to be adjusted | {
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"If you're using a recent version of the transformers library, it should eventually be updated to address this issue.\r\nThis warning is indicating that the behavior of floordiv is deprecated and will change in a future version of PyTorch.\r\nimport torch\r\n\r\n# Instead of this\r\nresult = torch.floordiv(a, b)\r\... | 1,692 | 1,695 | 1,695 | NONE | null | https://github.com/huggingface/transformers/blob/6b82d936d49956ba7b43c5ee590f4868de373b65/src/transformers/models/big_bird/modeling_big_bird.py#L977
getting this issue:
/opt/software/Python/3.6.4-foss-2018a/lib/python3.6/site-packages/transformers/models/big_bird/modeling_big_bird.py:978: UserWarning: __floordiv__... | {
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https://api.github.com/repos/huggingface/transformers/issues/25609 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25609/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25609/comments | https://api.github.com/repos/huggingface/transformers/issues/25609/events | https://github.com/huggingface/transformers/issues/25609 | 1,857,587,317 | I_kwDOCUB6oc5uuIh1 | 25,609 | [Question] padding_side of LlamaTokenizerFast | {
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"Hey. We can default to `padding=\"right\"` indeed, not really sure however why/how it can create a different behaviour. Do you have a small reproducer?",
"> Hey. We can default to `padding=\"right\"` indeed, not really sure however why/how it can create a different behaviour. Do you have a small reproducer?\r\n\... | 1,692 | 1,695 | 1,695 | NONE | null | https://github.com/huggingface/transformers/blob/e42587f596181396e1c4b63660abf0c736b10dae/src/transformers/models/llama/tokenization_llama_fast.py#L100
Why `padding_side` is left here? I found out that this may cause different behaviours between `LlamaTokenizer.from_pretrained` and `AutoTokenizer.from_pretrained`. | {
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https://api.github.com/repos/huggingface/transformers/issues/25608 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25608/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25608/comments | https://api.github.com/repos/huggingface/transformers/issues/25608/events | https://github.com/huggingface/transformers/pull/25608 | 1,857,372,609 | PR_kwDOCUB6oc5YSLxX | 25,608 | 🚨🚨🚨 changing default threshold and applying threshold before the rescale | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fixes #25490 by applying the threshold before the rescaling.
Here's a breakdown:
OwlViT model scales confidences scores, so that the max score will always adjust to `1.000`.
To illustrate, let's consider a scenario where the threshold is set at `threshold=0.6` and detected scores (in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25607 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25607/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25607/comments | https://api.github.com/repos/huggingface/transformers/issues/25607/events | https://github.com/huggingface/transformers/pull/25607 | 1,857,348,175 | PR_kwDOCUB6oc5YSGbc | 25,607 | [Whisper] Fix word-level timestamps for audio < 30 seconds | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Looks like there were some failing unit tests, but they were actually wrong 😅 \r\n\r\n### Original unit test:\r\n```python\r\n{\r\n \"text\": \" Conquered returned to its place amidst the tents.\",\r\n \"chunks\": [\r\n ... | 1,692 | 1,705 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
In OpenAI's [original implementation for word-level timestamps](https://github.com/openai/whisper/blob/e8622f9afc4eba139bf796c210f5c01081000472/whisper/timing.py#L206), they crop the cross attentions before perform dynamic time warping (to only run the algorithm on valid audio; this prevents ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25606 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25606/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25606/comments | https://api.github.com/repos/huggingface/transformers/issues/25606/events | https://github.com/huggingface/transformers/pull/25606 | 1,857,207,816 | PR_kwDOCUB6oc5YRnrc | 25,606 | Fix test_modeling_mpt typo in model id | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25606). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,704 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Currently, the method `get_large_model_config` tries to download `mosaicml/mpt-7` model config, which is not found, rest of the file uses `mosaicml/mpt-7b`, which works. This seems like a typo.
## Who can review?
Anyone in the community is free to review the PR once the tests have passed.... | {
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https://api.github.com/repos/huggingface/transformers/issues/25605 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25605/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25605/comments | https://api.github.com/repos/huggingface/transformers/issues/25605/events | https://github.com/huggingface/transformers/issues/25605 | 1,857,187,119 | I_kwDOCUB6oc5usm0v | 25,605 | Incorrect whisper word-level timestamps | {
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- `transformers` version: 4.32.0.dev0 (main)
- Platform: Linux-5.15.0-1041-azure-x86_64-with-glibc2.31
- Python version: 3.10.8
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu11... | {
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https://api.github.com/repos/huggingface/transformers/issues/25604 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25604/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25604/comments | https://api.github.com/repos/huggingface/transformers/issues/25604/events | https://github.com/huggingface/transformers/issues/25604 | 1,857,172,489 | I_kwDOCUB6oc5usjQJ | 25,604 | "Xformers is not installed correctly." error | {
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"This is a duplicate of #24903"
] | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
System info:
* Transformers 4.31.0
* Python 3.11.3
Error:
```
Xformers is not installed correctly. If you want to use memory_efficient_attention to accelerate training use the following command to install Xformers
pip install xformers.
```
Code:
```
import argparse
from transformers impo... | {
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https://api.github.com/repos/huggingface/transformers/issues/25603 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25603/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25603/comments | https://api.github.com/repos/huggingface/transformers/issues/25603/events | https://github.com/huggingface/transformers/pull/25603 | 1,857,170,981 | PR_kwDOCUB6oc5YRfkv | 25,603 | Safety check low_cpu_mem_usage when in 4bit or 8bit | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25603). All of your documentation changes will be reflected on that endpoint.",
"cc @younesbelkada ",
"Running `make style` should fix the CI 😉 ",
"The history of the PR is a bit messed up 😓 you are gonna need to reba... | 1,692 | 1,695 | 1,695 | COLLABORATOR | null | Currently, the check is only done for `is None` after which `low_cpu_mem_usage ` is set to True. But that can lead to unexpected behavior, especially if it is set to False. The result would be a hard-to-debug error trace (cf. related issue). This PR makes sure that when in 4bit or 8bit, `low_cpu_mem_usage` is set to Tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/25602 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25602/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25602/comments | https://api.github.com/repos/huggingface/transformers/issues/25602/events | https://github.com/huggingface/transformers/issues/25602 | 1,857,132,675 | I_kwDOCUB6oc5usZiD | 25,602 | llama fast tokenizer: FileNotFound error when saving model checkpoint and self.vocab_file does not exist | {
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"Sure, the problem is that in fast we cannot recover the content of `vocab_file` if the repo was deleted. We can produce a warning however, mentioning that you won't be able to initialize a slow tokenizer. Opening a PR to fix this! Thanks for reporting",
"Thanks a lot! Does it mean a fast tokenizer can still be i... | 1,692 | 1,693 | 1,693 | NONE | null | ### System Info
transformers==4.31.0
torch==2.0.1
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/25601 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25601/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25601/comments | https://api.github.com/repos/huggingface/transformers/issues/25601/events | https://github.com/huggingface/transformers/pull/25601 | 1,857,126,023 | PR_kwDOCUB6oc5YRVrW | 25,601 | nabarup add comments in HammingDiversityLogitsProcessor inside logit_process. Issue #24783 | {
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"Hey @Nabarup-Maity -- This logits processor was already claimed (and being worked on) by another contributor, as it can be seen in the [main issue](https://github.com/huggingface/transformers/issues/24783). As such, I will not be accepting this PR :)"
] | 1,692 | 1,694 | 1,694 | NONE | null | # What does this PR do?
add comments in functions inside logit process under model.generate.
@gante kindly check. This is my first ever contribution. Hope it will help.
<!--
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 note... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25600). 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... | 1,692 | 1,695 | 1,695 | NONE | null | # What does this PR do?
Removed input arguments from the docstring example of AutoformerForPrediction.forward() in order to get it working out of the box.
Detailed in this issue: https://github.com/huggingface/blog/issues/1382
Fixes # (issue)
## Before submitting
- [X] This PR fixes a typo or improves the... | {
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https://api.github.com/repos/huggingface/transformers/issues/25599 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25599/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25599/comments | https://api.github.com/repos/huggingface/transformers/issues/25599/events | https://github.com/huggingface/transformers/pull/25599 | 1,857,078,096 | PR_kwDOCUB6oc5YRLMX | 25,599 | 🚨🚨🚨 [`Refactor`] Move third-party related utility files into `integrations/` folder 🚨🚨🚨 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi Younes,\r\n\r\nUnless I'm mistaken these would be BC breaking changes.\r\n\r\n```\r\n$ PYTHONPATH=src python -c \"from transformers.deepspeed import HfDeepSpeedConfig\"\r\nTraceback (most recent call last):\r\n File \"<string>\",... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
As per title and to address https://github.com/huggingface/transformers/pull/25077#discussion_r1283042392
Let's move all third party libs (outside HF ecosystem) related utility files inside `lib_integrations/`, currently to the best of my knowledge bitsandbytes and deepspeed are the only 2 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25598 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25598/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25598/comments | https://api.github.com/repos/huggingface/transformers/issues/25598/events | https://github.com/huggingface/transformers/pull/25598 | 1,857,032,190 | PR_kwDOCUB6oc5YRBKh | 25,598 | [`core` ] Integrate Flash attention 2 in most used models | {
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"I think attempting to plug Hazy-flash in transformers and properly benchmarking against vanilla transformers and against BetterTransformer is a **very good thing** to possibly motivate:\r\n* Upstreaming SDPA or Hazy-flash natively in transformers.\r\n* a refactorization of the KV cache to rely on indexing rather t... | 1,692 | 1,697 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Based on flash attention official repository and code snippets shared internally by @pacman100 & @fxmarty and also based on some internal discussion with @LysandreJik, made a PoC of what a Flash Attention 2 integration would look like in transformers.
We should restrict the integration to... | {
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"resolved in https://github.com/huggingface/transformers/pull/24796/commits/2e37e6c8b31a9e03f4298f34bc66dedbd7cb997c"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Looks like the modified `check_config_can_be_init_without_params` in https://github.com/huggingface/transformers/pull/25237 broke the yet unmerged https://github.com/huggingface/transformers/pull/24796
I patched it to skip these tests here so that we could merge it here https://github.com/huggingface/transformers/pu... | {
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https://api.github.com/repos/huggingface/transformers/issues/25596 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25596/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25596/comments | https://api.github.com/repos/huggingface/transformers/issues/25596/events | https://github.com/huggingface/transformers/pull/25596 | 1,856,978,272 | PR_kwDOCUB6oc5YQ1g6 | 25,596 | reattach hooks when using `resize_token_embeddings` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do ?
Solves #25554.
This PR fix the case where one uses `resize_token_embeddings` on a model with that has been dispatched with `device_map`. We reattach the hook to the new modules. | {
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https://api.github.com/repos/huggingface/transformers/issues/25595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25595/comments | https://api.github.com/repos/huggingface/transformers/issues/25595/events | https://github.com/huggingface/transformers/pull/25595 | 1,856,949,219 | PR_kwDOCUB6oc5YQvVy | 25,595 | Make TTS automodels importable | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | The current auto models for TTS cannot be imported from top level
```
from transformers import AutoModelForTextToWaveform
```
fails
Follow up from #24952
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https://api.github.com/repos/huggingface/transformers/issues/25594 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25594/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25594/comments | https://api.github.com/repos/huggingface/transformers/issues/25594/events | https://github.com/huggingface/transformers/pull/25594 | 1,856,858,139 | PR_kwDOCUB6oc5YQbu2 | 25,594 | Fix ExponentialDecayLengthPenalty negative logits issue | {
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"Thanks @gante and @ArthurZucker !\r\n\r\nCould you please approve the documentation workflow? I’d like to verify the documentation looks as expected",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25594). All of your documentation changes will be reflected on that end... | 1,692 | 1,702 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
In cases where the model logits are negative, ExponentialDecayLengthPenalty decreases the score of eos_token_id instead of increasing it.
To fix this issue we compute the penalty of the absolute value and add it to the original score, as described in #25416
The test was updated to check for... | {
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https://api.github.com/repos/huggingface/transformers/issues/25593 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25593/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25593/comments | https://api.github.com/repos/huggingface/transformers/issues/25593/events | https://github.com/huggingface/transformers/issues/25593 | 1,856,807,227 | I_kwDOCUB6oc5urKE7 | 25,593 | training with IterableDataset is very slow when using a large number of workers | {
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"Hey, this kind of questions should be asked on [the forum ](https://discuss.huggingface.co/), as per the contribution guidelines."
] | 1,692 | 1,692 | 1,692 | NONE | null | My problem is:
I have 512 JSONL files (each 1GB) and stored on the Amazon Cloud. I have 32 GPUs. I read this big dataset with IterableDataSet recommended by Huggingface so that I can train on the fly.
`
dataset = load_dataset("json", data_files=data_files, storage_options=storage_options, streaming=True)
`
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https://api.github.com/repos/huggingface/transformers/issues/25592 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25592/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25592/comments | https://api.github.com/repos/huggingface/transformers/issues/25592/events | https://github.com/huggingface/transformers/issues/25592 | 1,856,768,871 | I_kwDOCUB6oc5urAtn | 25,592 | Augmentation error Expected y_max for bbox evoked in the trainer.train() to finetune object detection detr model | {
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"Hi @ironllamagirl, thanks for raising this issue! \r\n\r\nThis is really a question for the forums. We try to reserve github issues for bug reports and feature requests. However, we can give some pointers. \r\n\r\nIn the linked example, the augmentations are applied to dataset samples whenever a new batch is loade... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-1039-oracle-x86_64-with-glibc2.35
- Python version: 3.11.4
- 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 (True)
- Ten... | {
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"Hey, you manually changed the path using `sys`, if you move your call to `transformers` above your code, it works as expected. ",
"After changing the python version I have to append the install location to sys path though or I get no module named transformers"
] | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.15.109+-x86_64-with-glibc2.35
- Python version: 3.9.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): not installed (NA)
- Tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/25590 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25590/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25590/comments | https://api.github.com/repos/huggingface/transformers/issues/25590/events | https://github.com/huggingface/transformers/pull/25590 | 1,856,749,833 | PR_kwDOCUB6oc5YQEJP | 25,590 | feat: add trainer label to wandb run upon initialization | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25590). 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... | 1,692 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a telemetry label to the wandb run making it possible to identify W&B usage from the trainer class.
## Before submitting
- [X] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
1. Corrects the z3 init when using accelerate launcher. Follow up of https://github.com/huggingface/transformers/pull/25227.
It missed setting correct mixed precision in the DS Plugin leading to `RuntimeError: output tensor must have the same type as input tensor` when using Accelerate launche... | {
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https://api.github.com/repos/huggingface/transformers/issues/25588 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25588/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25588/comments | https://api.github.com/repos/huggingface/transformers/issues/25588/events | https://github.com/huggingface/transformers/pull/25588 | 1,856,428,006 | PR_kwDOCUB6oc5YO9T7 | 25,588 | Run doctest for new files | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ArthurZucker also mentioned `a` to me. I am happy with that, but we have to be a bit careful not to include files that has no doc example in that opposite list (if we want to use that list as an indication of **missing** doctest - i... | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
The effect could be see in [this run](https://app.circleci.com/pipelines/github/huggingface/transformers/70724/workflows/f9ba5d54-6d64-4630-b500-ba1cf28baade/jobs/887892/artifacts) (see the artifact).
From Sir @ArthurZucker
> new files should always be tested
> the documentation_tes... | {
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https://api.github.com/repos/huggingface/transformers/issues/25587 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25587/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25587/comments | https://api.github.com/repos/huggingface/transformers/issues/25587/events | https://github.com/huggingface/transformers/pull/25587 | 1,856,298,970 | PR_kwDOCUB6oc5YOg_9 | 25,587 | correct TTS pipeline docstrings snippet | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @ArthurZucker , thanks for the quick review !\r\n\r\nJust a QQ before addressing your comments, [there is already a line](https://github.com/ylacombe/transformers/blob/b64cccafd178f7bbf83da2a75c8697836d60f533/utils/documentation_... | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | This PR aims to correct the TTS pipeline code snippet [that was failing](https://github.com/huggingface/transformers/actions/runs/5898104885/job/15998670461).
I simply wrote a correct snippet instead!
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that... | {
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"Hi @Adilatec Thank you for this request.\r\n\r\nThis model is better suited being as a model on the Hub. \r\n\r\nIf you want to contribute, you can follow [this tutorial](https://huggingface.co/docs/transformers/custom_models#sharing-custom-models). 🤗 "
] | 1,692 | 1,692 | null | NONE | null | ### Model description
<html>
<body>
<!--StartFragment--><h1 tabindex="-1" dir="auto" style="box-sizing: border-box; font-size: 2em; margin-top: 0px !important; margin-right: 0px; margin-bottom: 16px; margin-left: 0px; font-weight: var(--base-text-weight-semibold, 600); line-height: 1.25; padding-bottom: 0.3em; borde... | {
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https://api.github.com/repos/huggingface/transformers/issues/25585 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25585/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25585/comments | https://api.github.com/repos/huggingface/transformers/issues/25585/events | https://github.com/huggingface/transformers/pull/25585 | 1,856,155,309 | PR_kwDOCUB6oc5YOB2C | 25,585 | Added missing parenthesis in call to is_fsdp_enabled | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25585). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Calling function is_fsdp_enabled instead of checking if it is not None
# What does this PR do?
It adds the missing parenthesis
Fixes #25584
## Who can review?
@ArthurZucker @younesbelkada
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"PR here https://github.com/huggingface/transformers/pull/25585",
"Thanks!"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.32.0.dev0
- Platform: Linux-5.15.0-1028-nvidia-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.12.0a0+8a1a93a (True... | {
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https://api.github.com/repos/huggingface/transformers/issues/25583 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25583/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25583/comments | https://api.github.com/repos/huggingface/transformers/issues/25583/events | https://github.com/huggingface/transformers/pull/25583 | 1,856,051,356 | PR_kwDOCUB6oc5YNral | 25,583 | Fix typo in example code | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25583). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fixes a typo in the docs
`lang_code_to_id("en_XX")` => `lang_code_to_id["en_XX"]`
lang_code_to_id is a dict
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https... | {
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"Can you show us the content of `test.json`? Thanks\r\ncc @pacman100 ",
"Hello, please use distributed launcher like `torchrun` or `deepspeed` or `accelerate launch`. Above it is trying to run data parallel with DeepSpeed config which is incorrect.",
"Here is the test.json\r\n```\r\n{\r\n\r\n \"gradient_clip... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
# System Info
python: 3.10
transformers: 4.32.0.dev0
deepspeed: 0.10.0
GPUs: 8 x titanxp
# Reproduction
running the demo to use the deepspeed MOQ algorithm
`python text-classification/run_glue.py --model_name_or_path bert-base-cased --task_name $TSK --do_train --do_eval --max_seq_len... | {
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https://api.github.com/repos/huggingface/transformers/issues/25581 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25581/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25581/comments | https://api.github.com/repos/huggingface/transformers/issues/25581/events | https://github.com/huggingface/transformers/pull/25581 | 1,855,868,461 | PR_kwDOCUB6oc5YNEnW | 25,581 | Skip warning if tracing with dynamo | {
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"Thanks for fixing this (I assume this might have broken a workflow somewhere). \r\n\r\nThe compilation is failing, I think we need to check if torch dynamo is available first using is_torchdynamo_available()? If so, it also \"import torch._dynamo as dynamo\" and so should be able to use dynamo.is_compiling() after... | 1,692 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
Adds an additional check to skip the check for missing attention mask when tracing. Currently it checks if we're torch.jit.trace-ing or torch.fx.symbolic_trace-ing, so this adds a check to see if we're tracing with TorchDynamo.
## Before submitting
- [x] This PR fixes a typo or improves t... | {
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https://api.github.com/repos/huggingface/transformers/issues/25580 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25580/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25580/comments | https://api.github.com/repos/huggingface/transformers/issues/25580/events | https://github.com/huggingface/transformers/issues/25580 | 1,855,852,572 | I_kwDOCUB6oc5unhAc | 25,580 | when using FSDP, Trainer initializes the optimizer in a wrong order that results in huge waste of GPU memory | {
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"CC @pacman100 ",
"This has already been fixed. Please use the main branch of Transformers.",
"thanks @pacman100 i found the PR that fixed this. Closing this issue"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0
- 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+gitf99... | {
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https://api.github.com/repos/huggingface/transformers/issues/25579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25579/comments | https://api.github.com/repos/huggingface/transformers/issues/25579/events | https://github.com/huggingface/transformers/pull/25579 | 1,855,758,160 | PR_kwDOCUB6oc5YMsp1 | 25,579 | Ported Dinov2 to flax | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25579). 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... | 1,692 | 1,698 | 1,697 | NONE | null | # Ported the Dinov2 model to jax/flax
This PR adds the dinov2 model in flax. It is based on the vit flax port but uses the existing pytorch dinov2 as base.
## 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 [contri... | {
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https://api.github.com/repos/huggingface/transformers/issues/25578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25578/comments | https://api.github.com/repos/huggingface/transformers/issues/25578/events | https://github.com/huggingface/transformers/pull/25578 | 1,855,609,045 | PR_kwDOCUB6oc5YMMkZ | 25,578 | Support specifying revision in push_to_hub | {
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"cc @sgugger ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25578). All of your documentation changes will be reflected on that endpoint.",
"Thanks again!",
"@jmif what is the syntax for using the revision?\r\n\r\nI tried:\r\n```\r\nmodel.push_to_hub(adapter_mode... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Resolves https://github.com/huggingface/transformers/issues/22867 by adding revision to `create_commit` call and proactively creating the branch before committing.
Change hasn't been discussed or approved in an issue AFAIK. Haven't written tests but happy to once the general approach is approved. I've tested manua... | {
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https://api.github.com/repos/huggingface/transformers/issues/25577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25577/comments | https://api.github.com/repos/huggingface/transformers/issues/25577/events | https://github.com/huggingface/transformers/issues/25577 | 1,855,374,084 | I_kwDOCUB6oc5ulsME | 25,577 | more and more difficult to use | {
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"Hey! Thanks for providing feedback, though this is the `transformers` repository, `datasets` has its own repo [here](https://github.com/huggingface/datasets) if you want to give them your thoughts! "
] | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
huggingface is going the same way as TensorFlow, version control is getting worse and worse. In particular, the versions between different packages need to be strictly adapted, which is more troublesome than TensorFlow!
### Who can help?
_No response_
### Information
- [X] The official example scri... | {
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https://api.github.com/repos/huggingface/transformers/issues/25576 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25576/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25576/comments | https://api.github.com/repos/huggingface/transformers/issues/25576/events | https://github.com/huggingface/transformers/issues/25576 | 1,855,339,172 | I_kwDOCUB6oc5uljqk | 25,576 | How can i make a PR for autotokenzier to adapt RWKV world | {
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"Hey! This kind of question should be ask on [the forum](https://discuss.huggingface.co/).\r\nHowever here are two different path: \r\n- Use the `GPTNeoXTokenizerFast`, see [here](https://huggingface.co/RWKV/rwkv-4-169m-pile/blob/main/tokenizer_config.json)\r\n- Host your tokenizer code on the hub using https://hug... | 1,692 | 1,695 | 1,695 | NONE | null | ### Feature request
Ususally we use own tokenzier with the transformer pipeline,
like this https://github.com/xiaol/Huggingface-RWKV-World/blob/fca236afd5f2815b0dbe6c7ce3c92e51526e2e14/generate_hf_cfg.py#L79C1-L79C1
So far we have a lot of models using new tokenzier, using pipeline with autotokenizer is critica... | {
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https://api.github.com/repos/huggingface/transformers/issues/25575 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25575/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25575/comments | https://api.github.com/repos/huggingface/transformers/issues/25575/events | https://github.com/huggingface/transformers/pull/25575 | 1,855,267,870 | PR_kwDOCUB6oc5YLBu0 | 25,575 | add warning for 8bit optimizers | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do ?
This PR adds a log when 8-bit optimizers are used with a version of bitsandbytes < 0.41.1. We do that because a major bug was fixed for 8-bit optimizers as reported by [Tim](https://twitter.com/Tim_Dettmers/status/1687458541643390976). | {
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https://api.github.com/repos/huggingface/transformers/issues/25574 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25574/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25574/comments | https://api.github.com/repos/huggingface/transformers/issues/25574/events | https://github.com/huggingface/transformers/pull/25574 | 1,855,254,056 | PR_kwDOCUB6oc5YK-uX | 25,574 | Skip `test_contrastive_generate` for `TFXLNet` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"For the record, it starts to fail on commit `a6c850e4` (#20994) but with a different error `TypeError: prepare_inputs_for_generation() got multiple values for keyword argument 'use_cache'`. Then in #21149, we get the current error."
... | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
This model has special cache mechanism and `test_contrastive_generate` fails for more than 8 month. When I remove the argument `penalty_alpha` from the kwargs, it is able to generate something.
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https://api.github.com/repos/huggingface/transformers/issues/25573 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25573/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25573/comments | https://api.github.com/repos/huggingface/transformers/issues/25573/events | https://github.com/huggingface/transformers/pull/25573 | 1,855,225,480 | PR_kwDOCUB6oc5YK4cw | 25,573 | Revert "change version (#25387)" | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do?
This PR revert #25387. As @younesbelkada pointed [out](https://github.com/huggingface/transformers/pull/25387#pullrequestreview-1582170053), the training still works as expected if we don't use 8-bit optimizers. I will propose a fix in a follow-up PR.
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https://api.github.com/repos/huggingface/transformers/issues/25572 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25572/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25572/comments | https://api.github.com/repos/huggingface/transformers/issues/25572/events | https://github.com/huggingface/transformers/issues/25572 | 1,855,222,332 | I_kwDOCUB6oc5ulHI8 | 25,572 | Does lora caused memory leak in transformers ? | {
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"Hi @Randolph-zeng \r\nThanks for the issue, to clarify, do you get 13GB with load_in_8bit or without it?",
"hi @younesbelkada , the 13GB is with load_in_8bit on , and 51GB off. Is this an expected behavior or I miscalculated the math :(",
"@younesbelkada To add more to the picture, I actually took a long rout... | 1,692 | 1,701 | 1,695 | NONE | null | ### System Info
Issues persisted across several peft version 0.3, 0.4, 0.5(dev)
Accelerator I used are 0.21.0,
Pytorch version I tried are 1.13.0 and 2.0 and both experience same memory explosion
transformers == 4.31.0
### Who can help?
@ArthurZucker @younesbelkada @pacman100
### Information
- [ ] The official... | {
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https://api.github.com/repos/huggingface/transformers/issues/25571 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25571/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25571/comments | https://api.github.com/repos/huggingface/transformers/issues/25571/events | https://github.com/huggingface/transformers/pull/25571 | 1,855,190,288 | PR_kwDOCUB6oc5YKwpi | 25,571 | Replaces calls to `.cuda` with `.to(torch_device)` in tests | {
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"Isn't this the case for a lot of other tests? They use the decorator `@require_torch_gpu` to skip the test if `torch_device != cuda`, so the tests will still only be run on GPU as they are meant to be.",
"I added `torch_device` into jukebox as I didn't see why it shouldn't be there if it is in basically every ot... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | `torch.Tensor.cuda()` is a pre-0.4 solution to changing a tensor's device. It is recommended to prefer `.to(...)` for greater flexibility and error handling. Furthermore, this makes it more consistent with other tests (that tend to use `.to(torch_device)`) and ensures the correct device backend is used (if `torch_devic... | {
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https://api.github.com/repos/huggingface/transformers/issues/25570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25570/comments | https://api.github.com/repos/huggingface/transformers/issues/25570/events | https://github.com/huggingface/transformers/pull/25570 | 1,855,125,268 | PR_kwDOCUB6oc5YKia6 | 25,570 | Suggestions on Pipeline_webserver | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25570). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | docs: reorder the warning tip for pseudo-code
# What does this PR do?
Fixed #25569, we modified the docs a little bit to clarify the suggested code is intentionally written.
## 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 y... | {
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https://api.github.com/repos/huggingface/transformers/issues/25569 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25569/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25569/comments | https://api.github.com/repos/huggingface/transformers/issues/25569/events | https://github.com/huggingface/transformers/issues/25569 | 1,855,051,932 | I_kwDOCUB6oc5ukdic | 25,569 | [docs] Improve dynamic batching example in pipeline_webserver.md | {
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"cc @Narsil ",
"> Although it's made clear in the documentation that the code is optimized for readability and not efficiency, users might inadvertently use it as-is without considering the potential problems.\r\n\r\nThis is pretty much much why it is not functional code. It is intentional. You CANNOT copy mindle... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Hello @stevhliu,
I recently went through the dynamic batching section of [Using pipelines for a webserver](https://huggingface.co/docs/transformers/pipeline_webserver), and while I appreciate the clarity and details provided, I believe there are some potential pitfalls with the given code that might mislead less exp... | {
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https://api.github.com/repos/huggingface/transformers/issues/25568 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25568/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25568/comments | https://api.github.com/repos/huggingface/transformers/issues/25568/events | https://github.com/huggingface/transformers/pull/25568 | 1,855,005,649 | PR_kwDOCUB6oc5YKIJ1 | 25,568 | fix Vivit for video classification example | {
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"cc @amyeroberts ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25568). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Both Vivit for video classification example implementations were not working.
Some of the issues included:
- Missing or unnecessary library Imports
- Multiple variables referenced before assignment.
- Missing docstring for `sample_frame_indices()` method
- Logical error in `sample_frame_in... | {
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https://api.github.com/repos/huggingface/transformers/issues/25566 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25566/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25566/comments | https://api.github.com/repos/huggingface/transformers/issues/25566/events | https://github.com/huggingface/transformers/pull/25566 | 1,854,952,359 | PR_kwDOCUB6oc5YJ8a5 | 25,566 | Skip `test_beam_search_xla_generate_simple` for `T5` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25566). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
TF 2.13 breaks this test on GPU 😢 😭 | {
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https://api.github.com/repos/huggingface/transformers/issues/25565 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25565/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25565/comments | https://api.github.com/repos/huggingface/transformers/issues/25565/events | https://github.com/huggingface/transformers/pull/25565 | 1,854,950,374 | PR_kwDOCUB6oc5YJ7-S | 25,565 | [`Llama`] remove prompt and fix prefix finetuning | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @sourabh112 as I am not an expert in prefix tuning, there was something reported in the llama repo: https://github.com/facebookresearch/llama-recipes/issues/47#issuecomment-1674492457"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
We are waiting for #25323 to be merged, but following the llama update we are going to remove the default system prompt. | {
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https://api.github.com/repos/huggingface/transformers/issues/25564 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25564/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25564/comments | https://api.github.com/repos/huggingface/transformers/issues/25564/events | https://github.com/huggingface/transformers/pull/25564 | 1,854,787,277 | PR_kwDOCUB6oc5YJX_a | 25,564 | [`Tests`] Fix failing 8bit test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @younesbelkada ! Could you tell a bit more why MPT needs `einops`?",
"Also you probably need refresh your CircleCI token?",
"for MPT as you can see from the remote model, einops is used in files that are imported in `modeling_... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fixes two failing tests in https://github.com/huggingface/transformers/actions/runs/5873964880/job/15928072870
- `tests/quantization/bnb/test_mixed_int8.py::MixedInt8Test::test_get_keys_to_not_convert` & `tests/quantization/bnb/test_mixed_int8.py::MixedInt8GPT2Test::test_get_keys_to_not_c... | {
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https://api.github.com/repos/huggingface/transformers/issues/25563 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25563/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25563/comments | https://api.github.com/repos/huggingface/transformers/issues/25563/events | https://github.com/huggingface/transformers/pull/25563 | 1,854,728,037 | PR_kwDOCUB6oc5YJK3T | 25,563 | [`TokenizerFast`] Fix setting prefix space in __init__ | {
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] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Fixes #24846. For Sequence tokenizer, the previous solution was never doing anything. | {
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The output changed after we use TF 2.13 for TF-T5 model. | {
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] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/25428 and other issues with images on the documentation and this repo that are not rendered properly.
The fix is to simply replace `https://s3.amazonaws.com/moonup` by `https://cdn-uploads.huggingface.co`
cc @MKhalusova @stevhliu... | {
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https://api.github.com/repos/huggingface/transformers/issues/25560 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25560/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25560/comments | https://api.github.com/repos/huggingface/transformers/issues/25560/events | https://github.com/huggingface/transformers/pull/25560 | 1,854,540,536 | PR_kwDOCUB6oc5YIhga | 25,560 | Skip `test_onnx_runtime_optimize` for now | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
`tf2onnx` has issue with `TF 2.13`, so let's skip them for now.
Note we have delegated the (pytorch) ONNX tests to Optimum, see [here](https://github.com/huggingface/transformers/pull/24800#issuecomment-1634822781), and it's like we will do this for the TF ONNX tests too (once @michaelbena... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh Because #25464 was actually an older branch, and it's such large PR it's hard to spot the change. I broke up some of the work in #25464 to make it less unwieldy e.g. adding copied froms etc, and the changes these introduced ... | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Removes the copied from statement and the changing of the default value of `return_pixel_mask` that got set back in the merging of #25464
## 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 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25558 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25558/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25558/comments | https://api.github.com/repos/huggingface/transformers/issues/25558/events | https://github.com/huggingface/transformers/pull/25558 | 1,854,508,177 | PR_kwDOCUB6oc5YIakN | 25,558 | Add TensorFlow implementation of ConvNeXTv2 | {
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"cc @amyeroberts ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25558). All of your documentation changes will be reflected on that endpoint.",
"OK, pushed some updates! I *think* I've addressed everything.\r\n\r\nTo get the nice docstring fixes and type annotation... | 1,692 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
This adds TensorFlow support for ConvNeXTV2, following the pattern of the existing PyTorch ConvNeXTV2 implementation and the existing ConvNeXT(V1) TensorFlow implementation.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's th... | {
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https://api.github.com/repos/huggingface/transformers/issues/25557 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25557/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25557/comments | https://api.github.com/repos/huggingface/transformers/issues/25557/events | https://github.com/huggingface/transformers/pull/25557 | 1,854,313,967 | PR_kwDOCUB6oc5YHwTf | 25,557 | Add type hints for several pytorch models (batch-2) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25557). All of your documentation changes will be reflected on that endpoint.",
"This looks good to me now! Ping me whenever you're finished and you want me to merge it.",
"> This looks good to me now! Ping me whenever yo... | 1,692 | 1,694 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
Addresses some of the models in https://github.com/huggingface/transformers/issues/16059
## Who can review?
@Rocketknight1, please
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https://api.github.com/repos/huggingface/transformers/issues/25556 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25556/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25556/comments | https://api.github.com/repos/huggingface/transformers/issues/25556/events | https://github.com/huggingface/transformers/issues/25556 | 1,854,100,984 | I_kwDOCUB6oc5ug1X4 | 25,556 | ModuleNotFoundError: No module named 'transformers' | {
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"It is a GPT-4 answerable question and it is related to the issue of using Jupyter Notebook instead of transformers library. (Please check your Python interpreter)",
"You most probably have a discrepency between the python kernel used by the notebook. Nothing we can do on our end"
] | 1,692 | 1,692 | 1,692 | NONE | null | Hi all,
I have installed the transformer package into my virtual env and launched jn from that same virtual env.
Also, I can see the package installed from running pip freeze. Somehow, I keep getting the ModuleNotFoundError.
![Screenshot 2023-08-16 at 9 21 21 PM](https://github.com/huggingface/transformers/assets... | {
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https://api.github.com/repos/huggingface/transformers/issues/25555 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25555/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25555/comments | https://api.github.com/repos/huggingface/transformers/issues/25555/events | https://github.com/huggingface/transformers/issues/25555 | 1,854,026,591 | I_kwDOCUB6oc5ugjNf | 25,555 | PreTrainedModel._load_pretrained_model doesn't move non-persistent buffers to cpu with `low_cpu_mem_usage` | {
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"As I said before, this is not something the Transformers library supports, so I'm not surprised this doesn't work. This tensor `inv_freq` is created at init in the model and doesn't have a key in the state dict since it is a non-persistent buffer so there is nothing we can do for this bug.",
"I was thinking that... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
With env variable `INIT_INCLUDE_BUFFERS=True` in [accelerate](https://github.com/huggingface/accelerate/pull/1852), big LLM models will be loaded in meta tensors first and use actual weights during inference. However, `PreTrainedModel._load_pretrained_model` doesn't init non-persistent buffer tensors... | {
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https://api.github.com/repos/huggingface/transformers/issues/25554 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25554/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25554/comments | https://api.github.com/repos/huggingface/transformers/issues/25554/events | https://github.com/huggingface/transformers/issues/25554 | 1,853,943,033 | I_kwDOCUB6oc5ugOz5 | 25,554 | LLaMA-2 runtime error after `resize_token_embeddings` | {
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"Hi @gargutsav\r\n\r\nCould you provide a self-contained code snippet please? Thanks!",
"@ydshieh I was able to recreate it with this snippet\r\n```python\r\nimport torch\r\nfrom datasets import load_dataset\r\nfrom transformers import (AutoModelForCausalLM, AutoTokenizer,\r\n DataCollato... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
Python: `3.8.17`
Transformers: `4.31.0`
Accelerate: `0.21.0`
GPUs: `8 x A100 (80GB)`
### Who can help?
@ArthurZucker @pacman100
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/... | {
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https://api.github.com/repos/huggingface/transformers/issues/25553 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25553/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25553/comments | https://api.github.com/repos/huggingface/transformers/issues/25553/events | https://github.com/huggingface/transformers/pull/25553 | 1,853,884,946 | PR_kwDOCUB6oc5YGVmE | 25,553 | Update trainer.py | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25553). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
The corresponding config field should be `"forward_prefetch"` https://github.com/pytorch/pytorch/blob/v2.0.1/torch/distributed/fsdp/fully_sharded_data_parallel.py#L343 but there was a typo in transformers.Trainer that tries to look at "forward_perfect"..
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https://api.github.com/repos/huggingface/transformers/issues/25552 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25552/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25552/comments | https://api.github.com/repos/huggingface/transformers/issues/25552/events | https://github.com/huggingface/transformers/issues/25552 | 1,853,776,884 | I_kwDOCUB6oc5ufmP0 | 25,552 | SSL fails and we can't pull from HuggingFaceHub | {
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"This is a duplicate of #17611, our hub was down for a bit yesterday, everything should be back up now. ",
"We had this problem all day. The solutions in #17611 do not work, and the problem persists today.",
"On my minimal build I was able to reproduce the SSL workaround by setting CURL_CA_BUNDLE and downgradin... | 1,692 | 1,694 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.4.72-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): not instal... | {
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https://api.github.com/repos/huggingface/transformers/issues/25551 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25551/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25551/comments | https://api.github.com/repos/huggingface/transformers/issues/25551/events | https://github.com/huggingface/transformers/pull/25551 | 1,853,692,616 | PR_kwDOCUB6oc5YFryA | 25,551 | Fix how we get a quantization method from config | {
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"cc @younesbelkada and @SunMarc ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25551). 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 th... | 1,692 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Fixes #25550
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-request... | {
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https://api.github.com/repos/huggingface/transformers/issues/25550 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25550/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25550/comments | https://api.github.com/repos/huggingface/transformers/issues/25550/events | https://github.com/huggingface/transformers/issues/25550 | 1,853,670,367 | I_kwDOCUB6oc5ufMPf | 25,550 | Quantization model initialization routine tries to use quantization_config as if it is a dict | {
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"Thanks for the reproducer. Pinging @younesbelkada ",
"Hi @Rexhaif , thanks for reporting. I'm unable to reproduce this. Can you give me a minimal reproducible exmaple ? Make sure that you are on the main branch. It is strange that it is calling `quantization_method_from_config = config.quantization_config.get(`... | 1,692 | 1,695 | 1,695 | CONTRIBUTOR | null | The whole problem is here https://github.com/huggingface/transformers/blob/36f183ebab1261b388739d628aaa0b4150068df0/src/transformers/modeling_utils.py#L2389C34-L2389C34
One part of quantized model initialization tries to use `.get(...)` method of `quantization_config`. Presumably, this was made with the assumption t... | {
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https://api.github.com/repos/huggingface/transformers/issues/25549 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25549/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25549/comments | https://api.github.com/repos/huggingface/transformers/issues/25549/events | https://github.com/huggingface/transformers/pull/25549 | 1,853,639,725 | PR_kwDOCUB6oc5YFgRe | 25,549 | Fix `torch.fx` tests on nightly CI | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Good for me! Do you know for which models we had this triggered?\r\n\r\nAll of them, you can see it on\r\n\r\n[internal slack channel](https://huggingface.slack.com/archives/C02E34229JA/p1691944652716439)"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
There is a new `_CodeOnlyModule` type introduced in nightly torch (I have no idea about this). Need an update on our code to make `torch.fx` work for nightly (and future) torch.
Current error:
```
tests/models/layoutlm/test_modeling_layoutlm.py::LayoutLMModelTest::test_torch_fx
(line ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25548 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25548/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25548/comments | https://api.github.com/repos/huggingface/transformers/issues/25548/events | https://github.com/huggingface/transformers/pull/25548 | 1,853,600,479 | PR_kwDOCUB6oc5YFXtq | 25,548 | Fix MPT CI | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merge now. Leave comment if any @younesbelkada when you are back 🙏 ",
"Looks great @ydshieh , thanks! ",
"Hello"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Hello, let's just fix this .... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Updates the default value for `rescale_factor` in line with the updates that happened in #25174 and in the model's checkpoints on the hub [1](https://huggingface.co/google/vivit-b-16x2-kinetics400/commit/8a7171a57f79b9aaa58bc8d977c002a0ea0f0d42), [2](https://huggingface.co/google/vivit-b-16x2... | {
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## **Andromeda Specs**: Unveiling Mastery
**Overview**
Elegantly marrying craftsmanship and technology, Andromeda is not just another step in AI evolution. It's a giant leap. Driven by precision, powered by innovation, and defined by excellence, Andromeda is the epitome of intelligence realiz... | {
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"It looks like your PR touches a lot of files and has a lot of conflicts. You probably need to start from a clean branch.",
"sry, accidentally merge it. pls ignore this."
] | 1,692 | 1,693 | 1,693 | NONE | 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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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
The change in #25297 has some effect of increased memory usage, and `tests/models/maskformer/test_modeling_maskformer.py::MaskFormerModelIntegrationTest::test_with_segmentation_maps_and_loss` starts to fail when `MaskFormerModelIntegrationTest` is run as a whole.
This PR changes the image ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do ?
This PR fixes a [test](https://github.com/huggingface/transformers/actions/runs/5503465492/job/14897632810). This bug was introduced by this [PR](https://github.com/huggingface/accelerate/pull/1648) on accelerate library. Basically, for single gpu setup, when we use device_map = 'auto', we do... | {
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"Indeed, do you want to open a PR with a fix?",
"How do you think we should solve it. A quick and dirty way I am using is to pop() the labels instead of get().\r\n\r\n> On 16. Aug 2023, at 22:40, Sylvain Gugger ***@***.***> wrote:\r\n> \r\n> \r\n> Indeed, do you want to open a PR with a fix?\r\n> \r\n> —\r\n> Re... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | ### System Info
```
- `adapter-transformers` version: 3.2.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.9
- Huggingface_hub version: 0.14.1
- PyTorch version (GPU?): 2.0.1+cpu (False)
- Tensorflow version (GPU?): 2.12.0 (False)
- Flax version (CPU?/GPU?/... | {
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"Pinging @gante! ",
"Hey @KeremZaman 👋 \r\n\r\nWhile we can't touch the line that sets `eos_token_id` to the default `self.generation_config.eos_token_id`, for backwards compatibility reasons, you can set `eos_token_id` to an impossible value to achieve the same goal :) \r\n\r\ne.g.:\r\n\r\n```python\r\nfrom tra... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
Python 3.7.13
transformers 4.30.2
Ubuntu 18.04.6 LTS
### Who can help?
@ArthurZucker @younesbelkada @gante
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My ow... | {
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https://api.github.com/repos/huggingface/transformers/issues/25540 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25540/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25540/comments | https://api.github.com/repos/huggingface/transformers/issues/25540/events | https://github.com/huggingface/transformers/pull/25540 | 1,853,368,957 | PR_kwDOCUB6oc5YElVC | 25,540 | More frozen args | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Noticed some failures in the Accelerate nightly related to deepspeed (see [here](https://github.com/huggingface/accelerate/actions/runs/5877296024/job/15937618182)), the hyperparameter search needs to be able to modify the `training_arguments` (as that makes sense, it's doing HPS). As a resul... | {
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"@ArthurZucker Good catch! Added there as well 👍 ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do?
Fixes the generate max length warning -- it should be emitted when it is `== 20`, corresponding to the model-agnostic default value.
A test is also added to ensure we don't regress. | {
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"A reproducer on which code you are using is required according to the contribution guidelines. Otherwise yes, you are the onde that should specify the device. ",
"Sorry about that @ArthurZucker , I just added the code I'm using to generate audio.\r\n\r\nSo I just re-wrote the reproduction code by trying to pass ... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
```
root@redacted:/# transformers-cli env
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.31.0
- Platform: Linux-5.4.0-156-generic-x86_64-with-glibc2.17
- Python version: 3.8.12
- Huggingface_hub version: 0.16.4
- Safetensors... | {
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"Hey! This is expected, the `DebertaV2ForMultipleChoice` class is not implemented for `tensorflow`. You should check the documentation for [Debertav2](https://huggingface.co/docs/transformers/model_doc/deberta-v2), which documents classes that are available.",
"Is there any plan to add it?\r\n\r\n",
"Not really... | 1,692 | 1,693 | 1,693 | NONE | null | ### System Info
```
transformer v. 4.31.0'
````
### Who can help?
@sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25536 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25536/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25536/comments | https://api.github.com/repos/huggingface/transformers/issues/25536/events | https://github.com/huggingface/transformers/issues/25536 | 1,853,198,488 | I_kwDOCUB6oc5udZCY | 25,536 | Not able to import T5WithLMHeadModel library from transformers | {
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"Hey! This model is very very old, and the `T5WithLMHeadModel` was renamed to `T5ForConditionalGeneration`, but for backward compatibility it's not the case here. Now if you want to load a model you should be using `AutoModel` and not the shared script. ",
"Hi I have tried with the AutoModel to load the \"t5-3b\"... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
transformers version :- 4.31.0
Python version :- 3.10
### Who can help?
@gante @ArthurZucker @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 tas... | {
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https://api.github.com/repos/huggingface/transformers/issues/25535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25535/comments | https://api.github.com/repos/huggingface/transformers/issues/25535/events | https://github.com/huggingface/transformers/pull/25535 | 1,853,001,910 | PR_kwDOCUB6oc5YDVME | 25,535 | Layout lmre | {
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https://api.github.com/repos/huggingface/transformers/issues/25534 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25534/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25534/comments | https://api.github.com/repos/huggingface/transformers/issues/25534/events | https://github.com/huggingface/transformers/pull/25534 | 1,852,897,210 | PR_kwDOCUB6oc5YC-dY | 25,534 | Add documentation to dynamic module utils | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
This PR adds some more documentation to `dynamic_module_utils` as type annotations and docstrings. | {
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https://api.github.com/repos/huggingface/transformers/issues/25533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25533/comments | https://api.github.com/repos/huggingface/transformers/issues/25533/events | https://github.com/huggingface/transformers/pull/25533 | 1,852,856,180 | PR_kwDOCUB6oc5YC1m7 | 25,533 | Fix nested configs of Jukebox | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Fixes the serialization of the Jukebox config. It has a list of configs as an attribute, that's why the default method is failing here. | {
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"cc @amyeroberts and @younesbelkada ",
"Hi @amyeroberts and @younesbelkada, this PR is ready for review. Could you please take a look? Thanks :) ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25532). All of your documentation changes will be reflected on that endpo... | 1,692 | 1,705 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25531 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25531/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25531/comments | https://api.github.com/repos/huggingface/transformers/issues/25531/events | https://github.com/huggingface/transformers/pull/25531 | 1,852,660,307 | PR_kwDOCUB6oc5YCLH0 | 25,531 | Add Llama2 resources | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25531). All of your documentation changes will be reflected on that endpoint.",
"Hello everyone,\r\n\r\nWe've been working on organizing resources related to LLaMA2, and we've noticed that many of the resources intersect ca... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Co-authored-by: @jungnerd @kihoon71
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25530/comments | https://api.github.com/repos/huggingface/transformers/issues/25530/events | https://github.com/huggingface/transformers/pull/25530 | 1,852,493,849 | PR_kwDOCUB6oc5YBnUr | 25,530 | TransformerM for Graph Classification | {
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"You should consider sharing your model via the [code on the Hub API](https://huggingface.co/docs/transformers/custom_models) which doesn't require a PR to Transformers. There are many things missing in the current draft (look at the [model addition guide](https://huggingface.co/docs/transformers/add_new_model) for... | 1,692 | 1,695 | 1,695 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25529 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25529/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25529/comments | https://api.github.com/repos/huggingface/transformers/issues/25529/events | https://github.com/huggingface/transformers/issues/25529 | 1,852,457,848 | I_kwDOCUB6oc5uakN4 | 25,529 | RuntimeError: CUDA error: an illegal instruction was encountered | {
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"That's an issue for this particular repo since they use code on the Hub, the model itself is not implemented in the Transformers library :-)",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
When I run “AutoModelForCausalLM.from_pretrained” or chat function, I sometimes get "RuntimeError: CUDA error: an illegal instruction was encountered", but sometimes it works. Any one has ideas?
The error message is below:
> RuntimeError Traceback (most recent call last)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25528/comments | https://api.github.com/repos/huggingface/transformers/issues/25528/events | https://github.com/huggingface/transformers/issues/25528 | 1,852,448,487 | I_kwDOCUB6oc5uah7n | 25,528 | General Question - Is it possible to do MLM on models like MPT ? If yes, Could you share any resources or relevant codebase related to it? | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only.",
"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 not... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
the current version should be fine.
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/25527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25527/comments | https://api.github.com/repos/huggingface/transformers/issues/25527/events | https://github.com/huggingface/transformers/pull/25527 | 1,852,430,617 | PR_kwDOCUB6oc5YBZ3o | 25,527 | Draft | {
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https://api.github.com/repos/huggingface/transformers/issues/25526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25526/comments | https://api.github.com/repos/huggingface/transformers/issues/25526/events | https://github.com/huggingface/transformers/issues/25526 | 1,852,317,048 | I_kwDOCUB6oc5uaB14 | 25,526 | Add FastViT model | {
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"I can go and try to add it in case",
"It's from Apple, and the repo. has 1.2K. How do you think about this one? @amyeroberts @NielsRogge ?",
"I'm pro! @atturaioe, if you want to add, feel free to open a PR and tag one of us or @rafaelpadilla when the PR is ready for review or you have questions about adding it... | 1,692 | 1,693 | null | CONTRIBUTOR | null | ### Model description
FastViT is a hybrid vision transformer that uses structural reparameterization to obtain lower memory access cost and increased capacity, achieving stateof-the-art accuracy-latency trade-off. Highly efficient on multiple compute fabrics: mobile devices and desktop grade GPUs.
### Open source... | {
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https://api.github.com/repos/huggingface/transformers/issues/25525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25525/comments | https://api.github.com/repos/huggingface/transformers/issues/25525/events | https://github.com/huggingface/transformers/issues/25525 | 1,852,310,030 | I_kwDOCUB6oc5uaAIO | 25,525 | End2end pytorch lightning errors | {
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"I guess you are also using a newer Transformers version. My advice is to use the latest Transformers and Lightning. I can help with debugging the lightning errors. \r\n",
"Hey, thanks so much for responding so quickly. When I upgraded to the latest stable version of Lightning (2.0.7) and Transformers (4.31), I r... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-4.19.0-25-cloud-amd64-x86_64-with-glibc2.28
- Python version: 3.9.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
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https://api.github.com/repos/huggingface/transformers/issues/25524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25524/comments | https://api.github.com/repos/huggingface/transformers/issues/25524/events | https://github.com/huggingface/transformers/pull/25524 | 1,852,110,838 | PR_kwDOCUB6oc5YAT7L | 25,524 | Add ViTDet | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts thanks for your review, I've addressed all the comments"
] | 1,692 | 1,693 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
This PR adds part 1 of #25051, namely the ViTDet backbone, introduced in [Exploring Plain Vision Transformer Backbones for Object Detection](https://arxiv.org/abs/2203.16527).
Note that this PR only adds the backbone, hence there are no compatible checkpoints with the backbone-only. Those ... | {
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