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https://api.github.com/repos/huggingface/transformers/issues/27244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27244/comments | https://api.github.com/repos/huggingface/transformers/issues/27244/events | https://github.com/huggingface/transformers/pull/27244 | 1,974,399,421 | PR_kwDOCUB6oc5ecO8H | 27,244 | Add VITS training script example | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27244). 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... | 1,698 | 1,704 | 1,704 | COLLABORATOR | null | # What does this PR do?
Vits is a TTS model that have been supported in HF for a few months now. MMS-tts, Meta's models on a thousand languages, also uses VITS architecture.
This PR aims to add Vits training support, following [community interest on the hub](https://huggingface.co/facebook/mms-tts/discussions/1#6... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | MEMBER | null | # What does this PR do ?
This PR fixes the logic with disable_exlllama so that it is BC compatible. It fixes the case were the user overwrite the `GPTQConfig`.
```py
checkpoint = "marcsun13/opt-350m-gptq-4bit"
quantization_config = GPTQConfig(bits=4, disable_exllama=True )
# True
print(quantization_config.use_... | {
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https://api.github.com/repos/huggingface/transformers/issues/27242 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27242/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27242/comments | https://api.github.com/repos/huggingface/transformers/issues/27242/events | https://github.com/huggingface/transformers/pull/27242 | 1,974,372,710 | PR_kwDOCUB6oc5ecJIn | 27,242 | Bin format tests | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,698 | 1,704 | 1,704 | MEMBER | null | As requested in https://github.com/huggingface/transformers/pull/27231#issuecomment-1790681029 and https://github.com/huggingface/transformers/pull/27231#pullrequestreview-1710357492 | {
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https://api.github.com/repos/huggingface/transformers/issues/27241 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27241/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27241/comments | https://api.github.com/repos/huggingface/transformers/issues/27241/events | https://github.com/huggingface/transformers/issues/27241 | 1,974,242,301 | I_kwDOCUB6oc51rIv9 | 27,241 | Typo of layernorm naming. | {
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"Hi @RunpeiDong, please see this related issue: #27190 \r\n",
"> Hi @RunpeiDong, please see this related issue: #27190\r\n\r\nThanks @vanpelt. I understand the tedious work to do if we want to address typos in previous models. I guess we can only try to avoid it in future models."
] | 1,698 | 1,698 | 1,698 | NONE | null | the `pre_layrnorm` should be `pre_layernorm`. Many of them are written wrongly, but the `post_layernorm` is all written correctly. Why is it? Should it be fixed?
Some examples of this typo:
https://github.com/huggingface/transformers/blob/4557a0dede92ce985576fac478b754d76bba3c18/src/transformers/models/clip/modelin... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @Narsil!"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Fixed m4t which had a disparity in configuration for SpeechToText.
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https://api.github.com/repos/huggingface/transformers/issues/27239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27239/comments | https://api.github.com/repos/huggingface/transformers/issues/27239/events | https://github.com/huggingface/transformers/issues/27239 | 1,974,007,921 | I_kwDOCUB6oc51qPhx | 27,239 | Inconsistencies in Evaluation: Manual Inference vs. Huggingface Pipeline | {
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"The issue has been solved. I had to use `AutomaticSpeechRecognitionPipeline`",
"Thanks for sharing the solution! "
] | 1,698 | 1,698 | 1,698 | NONE | null | Hi,
I noticed a significant difference between the Word Error Rate (WER) scores when evaluating with manual inference and when using a custom pipeline. I would appreciate any guidance on whether I might be making a mistake in my approach.
1. Manual Inference:
```
model.eval()
for step, batch in enumerate(tq... | {
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"cc @kashif ",
"@antonio-navarra yes so my intial setup was to have any extra dynamic covariates (which will be part of the input vector) as dynamic real features (with the caviate that they are known at inference time). For covariates that are only know in the context window, then yes one would need some extra f... | 1,698 | 1,706 | null | NONE | null | ### Feature request
The Infomer transformers seems to perform well on time series multivariate forecasting also in my application, however, it would be nice to have the option to have an `output_size` for the features different from the `input_size`.
### Motivation
The reasons is that for the multivariate forecastin... | {
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"Hi @antonio-navarra, thanks for raising this issue! \r\n\r\nCould you provide a minimal code example we can run to reproduce the issue? Without that we'll be unable to help. \r\n\r\ncc @gante ",
"@amyeroberts FYI time-series models often have their own stand-alone `generate` methods (e.g. [this one for Informer]... | 1,698 | 1,706 | null | NONE | null | ### System Info
Transformer 4.32.1, Anaconda, MacOS
### 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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"No it needs to happen at the top-module level.",
"It is, the only difference it implies is that it will not be possible to edit this function via `torch.fx`. ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Actually I have a workaround that works for my purposes in `optimum... | 1,698 | 1,698 | 1,698 | MEMBER | null | # What does this PR do?
This wraps the `_prepare_4d_causal_attention_mask` as a FX leaf function for similar reasons than [here](https://github.com/huggingface/transformers/pull/26414#issuecomment-1737443846).
The only consequence it has is that it will not be possible to edit this function by using `torch.fx`. I... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27235). All of your documentation changes will be reflected on that endpoint.",
"I did not had time to properly finish this PR, right now the blocker is that it appears for some architectures that some gradients are set to ... | 1,698 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
As per title and to specifically address: https://github.com/huggingface/transformers/pull/27220#pullrequestreview-1709756019
This PR aims to extend the current testing suite to include pure bfloat16 training (I think it is not possible to perform pure float16 training) + automatic mixed p... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Currently on main, 8 bit serialization is broken due to the switching of safetensors serialization by default.
Link to failing job: https://github.com/huggingface/transformers/actions/runs/6727555396/job/18285709702
For 8bit models, some other objects (such as strings) are stored in th... | {
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"Hi @yuanenming, thanks for raising this issue! \r\n\r\nThe integrations are maintained by the contributors, however in this case I can see @muellerzr modified the line. I suspect it's a pragmatic number which is reasonable and suits most cases. \r\n\r\nThe great thing about open source code is that you can modify ... | 1,698 | 1,698 | 1,698 | NONE | null | https://github.com/huggingface/transformers/blob/af3de8d87c717c4bb090f037d0d89413c195a42f/src/transformers/integrations/integration_utils.py#L751
The minimal watch frequency is 100 by default. I think people may want to monitor the gradients more frequently. So why it has to be larger than 100? | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27232). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | Reverts huggingface/transformers#27228 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The tests all passed, and overall looks good despite I am not familiar with this part.\r\n\r\nI am a bit worried tests like `test_save_load_keys_to_ignore_on_save` will now only test with `safetensors` and never torch bin format anym... | 1,698 | 1,698 | 1,698 | MEMBER | null | cc @ydshieh | {
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https://api.github.com/repos/huggingface/transformers/issues/27230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27230/comments | https://api.github.com/repos/huggingface/transformers/issues/27230/events | https://github.com/huggingface/transformers/issues/27230 | 1,973,845,038 | I_kwDOCUB6oc51pnwu | 27,230 | Inconsistent results between LlamaTokenizer and LlamaTokenizerFast | {
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"Hey! This is a duplicate of #26318, #26455, #25881, and will be fixed in #26678 ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributin... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
transformers==4.34.1
tokenizers==0.14.1
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | MEMBER | null | @molbap this is what the branch looks like after merge | {
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] | 1,698 | 1,698 | 1,698 | MEMBER | null | Merged main and fixed the conflicts | {
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"Great PR @bzantium!\r\nI also tested RoPE scaling and realized the cache related code of it was wrong before.\r\nthis version. looks much more better.",
"cc @gante ",
"Hi @bzantium @hyunwoongko 👋 \r\n\r\nThere has been more than one issue raised regarding DynamicNTK as implemented by the authors and here in `... | 1,698 | 1,700 | 1,700 | CONTRIBUTOR | null | Fixes #27226
to: @ArthurZucker, @younesbelkada | {
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"cc @gante ",
"Seems to be a duplicate of #27003 and was mentioned in #25306. "
] | 1,698 | 1,700 | 1,700 | CONTRIBUTOR | null | `DynamicNTKScalingRotaryEmbedding` is originally designed to update `base` and `inv_freq` with dynamic_length (seq_len / self.max_position_embeddings) for every input sequence. However, current implementation only updates `base` and `inv_freq` only when `seq_len > self.max_seq_len_cached`.
```python
class LlamaRota... | {
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Currently streaming goes to stdoutput, which can't be captured and pushed as streaming function to return to another function
I've been trying this type of approach to capture what's streamed to stdout and then stream the capture with a yield, but it's not working. Even though this approach wo... | {
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"Hi,\r\n\r\nYes MaskFormer's image processor supports the [ignore_index](https://huggingface.co/docs/transformers/main/model_doc/maskformer#transformers.MaskFormerImageProcessor.ignore_index) argument, which indicates which value in the ground truth segmentation maps needs to be ignored. MaskFormer has a \"binary m... | 1,698 | 1,702 | 1,702 | NONE | null | I am trying to use Maskformer for segmenting lesions on the ISIC2018 dataset (https://challenge.isic-archive.com/data/#2018).
The training images are RGB and the training ground truth annotations are binary .png images where the pixel value of 0 is the background, and the pixel value of 255 denotes the lesion (i.e. t... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27223). All of your documentation changes will be reflected on that endpoint.",
"Hi @stevhliu. Can I close this PR?",
"Thanks again for your contribution!",
"No worries :) Looking forward to more.",
"Hi @stevhliu. Do... | 1,698 | 1,704 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
I updated the ```albert.md``` doc assigned to me by @stevhliu by adding the vital links and notes on how to use the ALBERT model.
<!--
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 y... | {
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"@mayank31398 Could you add the same fix to [code llama's fast tokenizer](https://github.com/huggingface/transformers/blob/main/src/transformers/models/code_llama/tokenization_code_llama_fast.py)? ",
"done @amyeroberts ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr... | 1,698 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Currently, LLamaTokenizerFast is not exporting `add_bos_token` and `add_eos_token`. This will fix this issue.
Fixes # (issue)
https://github.com/huggingface/transformers/issues/23833
https://github.com/huggingface/transformers/pull/23855#issuecomment-1789796762
this is not saving add_eo... | {
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https://api.github.com/repos/huggingface/transformers/issues/27221 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27221/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27221/comments | https://api.github.com/repos/huggingface/transformers/issues/27221/events | https://github.com/huggingface/transformers/pull/27221 | 1,973,188,411 | PR_kwDOCUB6oc5eYKL6 | 27,221 | Add LLaVA model to transformers | {
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"Hi @mattmazzola \r\nThank you very much for your great work! I think that there is already a contributor working on adding Llava in transformers: https://github.com/huggingface/transformers/pull/25789 - perhaps you can follow up with them and check the current status on that PR and see how you can collaborate? 🙏 ... | 1,698 | 1,701 | 1,701 | NONE | null | # What does this PR do?
Add LLaVA model to transformers
There are 4 pretrained models
- [liuhaotian/llava-v1.5-7b](https://huggingface.co/liuhaotian/llava-v1.5-7b)
- [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b)
- [liuhaotian/llava-v1.5-7b-lora](https://huggingface.co/liuhaotian/l... | {
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https://api.github.com/repos/huggingface/transformers/issues/27220 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27220/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27220/comments | https://api.github.com/repos/huggingface/transformers/issues/27220/events | https://github.com/huggingface/transformers/pull/27220 | 1,973,177,650 | PR_kwDOCUB6oc5eYH8e | 27,220 | Fix switch transformer mixed precision issue | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27220). All of your documentation changes will be reflected on that endpoint.",
"Hmm per my understanding it seems we do not have CI tests for mixed precision training. \r\nI think that we could easily adapt the current exi... | 1,698 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Fix the issue of dtype mismatch when using mixed precision training for switch transformer model.
Fixes #27219
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline]... | {
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https://api.github.com/repos/huggingface/transformers/issues/27219 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27219/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27219/comments | https://api.github.com/repos/huggingface/transformers/issues/27219/events | https://github.com/huggingface/transformers/issues/27219 | 1,973,137,970 | I_kwDOCUB6oc51m7Iy | 27,219 | Wrong Data Type for Switch Transformer in Mixed Precision Training | {
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"Hi @timlee0212 \r\nThanks for the issue and the fix proposal, I think the fix you suggested makes sense, would you like to submit a PR for the fix? Otherwise, happy to do it!",
"Sure. I'm happy to submit a PR. \r\n\r\nThanks for your in-time reply!"
] | 1,698 | 1,699 | 1,699 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.32.1
- Platform: Linux-5.15.0-75-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type... | {
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https://api.github.com/repos/huggingface/transformers/issues/27218 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27218/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27218/comments | https://api.github.com/repos/huggingface/transformers/issues/27218/events | https://github.com/huggingface/transformers/issues/27218 | 1,973,049,451 | I_kwDOCUB6oc51mlhr | 27,218 | Sentence_transformers tracing inference issue | {
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"Hi @yzGao22, thanks for raising this issue! \r\n\r\nFor the code examples, the only difference I see is how the inputs are passed to the model. In the first case, using `**` to unpack the dictionary means the inputs are passed in as keywords and is equivalent to: \r\n\r\n```\r\nori_out = embed_model(\r\n input_... | 1,698 | 1,698 | 1,698 | NONE | null | ### System Info
- `transformers` version: 4.34.0
- Platform: Linux-5.15.0-1033-aws-x86_64-with-glibc2.31
- Python version: 3.9.18
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 1.13.1+cu117 (False)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/27217 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27217/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27217/comments | https://api.github.com/repos/huggingface/transformers/issues/27217/events | https://github.com/huggingface/transformers/issues/27217 | 1,972,893,074 | I_kwDOCUB6oc51l_WS | 27,217 | T5Tokenizer from_pretrained Error | {
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"Hi @TristynAlxander, thanks for raising this issue! \r\n\r\nCould you provide us with a model path or tokenizer files we can use to replicate this error on our end? ",
"cc @ArthurZucker ",
"Greetings, \r\n\r\nThe above is the simplified version that reproduces the error. \r\n\r\nThe `/home/username/downloads/l... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
Operating System: Linux Mint 21.1
Kernel: Linux 6.2.0-36-generic
pip list:
Package Version
------------------ ------------
accelerate 0.24.1
certifi 2023.7.22
charset-normalizer 3.3.1
filelock 3.13.1
fsspec 2... | {
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https://api.github.com/repos/huggingface/transformers/issues/27216 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27216/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27216/comments | https://api.github.com/repos/huggingface/transformers/issues/27216/events | https://github.com/huggingface/transformers/pull/27216 | 1,972,891,203 | PR_kwDOCUB6oc5eXJOv | 27,216 | Remove redundant code from T5 encoder mask creation | {
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"Done :)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27216). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Removes redundant code in the creation of the encoder attention mask for T5 as discussed in https://github.com/huggingface/transformers/issues/27211.
@amyeroberts | {
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https://api.github.com/repos/huggingface/transformers/issues/27215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27215/comments | https://api.github.com/repos/huggingface/transformers/issues/27215/events | https://github.com/huggingface/transformers/pull/27215 | 1,972,757,566 | PR_kwDOCUB6oc5eWsE8 | 27,215 | translate peft.md to chinese | {
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"@stevhliu \r\n\r\nhi, here is another pr for peft.md translation.\r\n\r\nAnd I just check the _toctree.yml file, and I think I will first finish section `Tutorials` and `Developer guides`. I think it may be helpful for people who want to try `transformers`. Then I will continue to work on anther sections. When w... | 1,698 | 1,699 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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https://api.github.com/repos/huggingface/transformers/issues/27214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27214/comments | https://api.github.com/repos/huggingface/transformers/issues/27214/events | https://github.com/huggingface/transformers/issues/27214 | 1,972,692,136 | I_kwDOCUB6oc51lOSo | 27,214 | None of PyTorch, TensorFlow >= 2.0, or Flax have been found | {
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"Hi @Yoloex, thanks for raising this issue. \r\n\r\nIt looks that pytorch can't be found in your environment, so this likely isn't a transformers issue. \r\n\r\nIf you try to import torch in your python session does it work? e.g.:\r\n```py\r\nimport torch\r\nprint(torch.__version__)\r\n```\r\nor `python -c \"import... | 1,698 | 1,708 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.0
- Huggingface_hub version: 0.18.0
- Safetensors version: 0.4.0
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/27213 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27213/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27213/comments | https://api.github.com/repos/huggingface/transformers/issues/27213/events | https://github.com/huggingface/transformers/pull/27213 | 1,972,671,638 | PR_kwDOCUB6oc5eWZZ9 | 27,213 | [docs] Custom model doc update | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,699 | 1,699 | CONTRIBUTOR | null | This PR adds a documentation update to address the feedback left [here](https://huggingface.co/jinaai/jina-embeddings-v2-base-en/discussions/5#65380596ffe3e0513108cd3a), quote:
```
The clarity of the transformers documentation on custom models could be improved by describing
the syntax of auto_map in config.json.... | {
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https://api.github.com/repos/huggingface/transformers/issues/27212 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27212/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27212/comments | https://api.github.com/repos/huggingface/transformers/issues/27212/events | https://github.com/huggingface/transformers/issues/27212 | 1,972,592,972 | I_kwDOCUB6oc51k2FM | 27,212 | LlamaForCausalLM at fp16 w/ FlashAttention gives NAN loss | {
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"Hi @as3eem \r\nI think that pure fp16 training should be avoided, for training in half-precision you should either perform pure bf16 fine-tuning or use automatic mixed precision.",
"Also if you are using padding, some of the nan could be fixed by #27114",
"This issue has been automatically marked as stale beca... | 1,698 | 1,706 | 1,706 | NONE | null | ### System Info
- `transformers` version: 4.34.1
- Platform: Linux-5.4.0-153-generic-x86_64-with-glibc2.31
- Python version: 3.11.5
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.3.2
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tens... | {
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https://api.github.com/repos/huggingface/transformers/issues/27211 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27211/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27211/comments | https://api.github.com/repos/huggingface/transformers/issues/27211/events | https://github.com/huggingface/transformers/issues/27211 | 1,972,521,332 | I_kwDOCUB6oc51kkl0 | 27,211 | T5 automatic creation of the `encoder_attention_mask` | {
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"Hi @pietrolesci, thanks for raising this issue.\r\n\r\nIndeed, it seems the second mask creation is redundant. It was probably just a copy-pasta that got added along the way. Would you like to open a PR to fix it? This way you get the github contribution for having eagle eyes 🦅 👀 ",
"Hi @amyeroberts, thanks f... | 1,698 | 1,702 | 1,702 | CONTRIBUTOR | null | Hi there,
I am going through the T5 implementation to try to replicate it and noticed that the two code blocks reported below do the same thing when creating the `encoder_attention_mask`. Is this wanted?
https://github.com/huggingface/transformers/blob/037fb7d0e1086146612a716ef914305160134e9c/src/transformers/mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/27210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27210/comments | https://api.github.com/repos/huggingface/transformers/issues/27210/events | https://github.com/huggingface/transformers/issues/27210 | 1,972,490,508 | I_kwDOCUB6oc51kdEM | 27,210 | RWKV : support attention_mask | {
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"Or is it that you don't need `attention_mask` because RWKV is causal by definition? So you can just ignore padded tokens?",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that i... | 1,698 | 1,702 | 1,702 | NONE | null | ### Feature request
At the moment, `attention_mask` in `RwkvModel` is ignored.
It would be great if this were supported.
### Motivation
I want to be able to train on a padded batch.
### Your contribution
RWKV is a bit alien to me | {
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https://api.github.com/repos/huggingface/transformers/issues/27209 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27209/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27209/comments | https://api.github.com/repos/huggingface/transformers/issues/27209/events | https://github.com/huggingface/transformers/pull/27209 | 1,972,484,369 | PR_kwDOCUB6oc5eVwXZ | 27,209 | chore: add py.typed in compliance with PEP 561 | {
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"Hi @niqodea, thanks for opening this PR! \r\n\r\nTransformers doesn't officially support type checking in the library. Type annotations are used as documentation but we don't guarantee that they are consistent and checked across the repo. See: #18485 ",
"Ah, just noticed that there has already been an attempt to... | 1,698 | 1,698 | 1,698 | NONE | null | # What does this PR do?
Analogously to what has been done in [this PR](https://github.com/huggingface/diffusers/pull/5326) for diffusers, do the same for transformers.
## 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/27208 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27208/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27208/comments | https://api.github.com/repos/huggingface/transformers/issues/27208/events | https://github.com/huggingface/transformers/pull/27208 | 1,972,437,843 | PR_kwDOCUB6oc5eVmO7 | 27,208 | Reproducible checkpoint for npu | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27208). All of your documentation changes will be reflected on that endpoint.",
"@amyeroberts Good day, this PR is ready to be merged :-)"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null |
# What does this PR do?
Save npu's RNG states when saving a checkpoint and set after all the data skip phase when resuming training.
Links to https://github.com/huggingface/transformers/pull/11582
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that'... | {
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https://api.github.com/repos/huggingface/transformers/issues/27207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27207/comments | https://api.github.com/repos/huggingface/transformers/issues/27207/events | https://github.com/huggingface/transformers/pull/27207 | 1,972,383,165 | PR_kwDOCUB6oc5eVaUV | 27,207 | fix docstring in get_oneformer_resize_output_image_size func | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27207). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
fix docstring in get_oneformer_resize_output_image_size func
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONT... | {
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https://api.github.com/repos/huggingface/transformers/issues/27206 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27206/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27206/comments | https://api.github.com/repos/huggingface/transformers/issues/27206/events | https://github.com/huggingface/transformers/issues/27206 | 1,972,257,582 | I_kwDOCUB6oc51jkMu | 27,206 | get_peft_model with PEFT Finetuning for Tensorflow fails | {
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"Hi @SrikanthChellappa, thanks for raising this issue! \r\n\r\nI believe that PEFT is currently only supported for PyTorch models, but @younesbelkada can confirm",
"Yes I second what @amyeroberts said, you can't use PEFT + Tensorfllow, PEFT only supports PyTorch",
"This issue has been automatically marked as st... | 1,698 | 1,706 | 1,701 | NONE | null | ### System Info
Transformers Version: 4.34.1
Python: 3.11.3
### Who can help?
@Rocketknight1 @Gante
### 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 (giv... | {
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https://api.github.com/repos/huggingface/transformers/issues/27205 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27205/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27205/comments | https://api.github.com/repos/huggingface/transformers/issues/27205/events | https://github.com/huggingface/transformers/issues/27205 | 1,972,238,631 | I_kwDOCUB6oc51jfkn | 27,205 | processor = Owlv2Processor.from_pretrained("google/owlv2-base-patch16-ensemble") may have some problem | {
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"cc @NielsRogge ",
"my ori image size=[1080, 1920]\r\nafter preprocess size=[960, 960]\r\n\r\nexp1:\r\ntarget_sizes = torch.Tensor([[1080, 1920]])\r\nresults = processor.post_process_object_detection(outputs=outputs, target_sizes=target_sizes, threshold=0.2)\r\n
if the Owlv2Processor have the "padding" operator, the post_process_object_detection may can not directly the following:
boxes = boxes * scale_fct[:, None, :]
I found the y-axis have some shift | {
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https://api.github.com/repos/huggingface/transformers/issues/27204 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27204/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27204/comments | https://api.github.com/repos/huggingface/transformers/issues/27204/events | https://github.com/huggingface/transformers/pull/27204 | 1,972,044,023 | PR_kwDOCUB6oc5eUPug | 27,204 | Fix CPU offload + disk offload tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts @patrickvonplaten if you feel uneasy with merging this right before the release, I'm fine with reverting the safetensors serialization by default to let it sit on `main` for a while longer. The release is going to be ver... | 1,698 | 1,698 | 1,698 | MEMBER | null | Passing to safetensors serialization by default highlighted a few issues that we have with safetensors.
This PR fixes the issue, which is principally linked to weight sharing. | {
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https://api.github.com/repos/huggingface/transformers/issues/27203 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27203/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27203/comments | https://api.github.com/repos/huggingface/transformers/issues/27203/events | https://github.com/huggingface/transformers/pull/27203 | 1,972,042,484 | PR_kwDOCUB6oc5eUPYl | 27,203 | [Whisper, Bart, MBart] Add Flash Attention 2 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ok ran some more tests and it should be good now. I'm getting some flaky behavior with the flash attention tests on my RTX 4090 (especially extreme for Whisper). We should maybe think about how we can make them more robust now that w... | 1,698 | 1,698 | 1,698 | MEMBER | null | # What does this PR do?
This PR adds Flash Attention for Whisper, Bart & MBart.
Whisper depends on Bart and MBart quite a bit for Flash Attention like 20+ other model architectures.
As this is the first PR that adds Flash Attention 2 to a encoder-decoder model, I wanted to make sure it's done for the two templat... | {
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https://api.github.com/repos/huggingface/transformers/issues/27202 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27202/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27202/comments | https://api.github.com/repos/huggingface/transformers/issues/27202/events | https://github.com/huggingface/transformers/pull/27202 | 1,972,001,425 | PR_kwDOCUB6oc5eUGYX | 27,202 | fix:fix Deployment of web stream interface application, issue with me… | {
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"cc @gante ",
"Hi @bjleah 👋 \r\n\r\nThe current version of streaming in `generate` is a contraption that we want to properly replace in the near future. As such, we don't want to add more code in `generate` to handle a few special cases in streaming -- my suggestion would be to keep the changes you added in your... | 1,698 | 1,702 | 1,702 | NONE | null | "When I deploy the Baichuan model using the streaming interface, I noticed that after each call, the GPU memory usage increases by more than ten gigabytes. Due to the inherent characteristics of the GPU, it's necessary to release the GPU memory during the token return process to ensure stable GPU memory usage." | {
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https://api.github.com/repos/huggingface/transformers/issues/27201 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27201/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27201/comments | https://api.github.com/repos/huggingface/transformers/issues/27201/events | https://github.com/huggingface/transformers/pull/27201 | 1,971,906,826 | PR_kwDOCUB6oc5eTx7S | 27,201 | 🌐 [i18n-ZH] Translate troubleshooting.md into Chinese | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,698 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Translate troubleshooting.md into Chinese
part of #20095
## Who can review?
Documentation: @stevhliu
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/27200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27200/comments | https://api.github.com/repos/huggingface/transformers/issues/27200/events | https://github.com/huggingface/transformers/issues/27200 | 1,971,790,212 | I_kwDOCUB6oc51hyGE | 27,200 | dataset download error in speech recognition examples | {
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"Hi @oshindow, thanks for raising this issue! \r\n\r\nIndeed, the example scripts are pointing to the deprecated dataset. Would you like to open a PR to fix this? This way you get the github contribution for spotting the fix. ",
"> Hi @oshindow, thanks for raising this issue!\r\n> \r\n> Indeed, the example script... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.35.0.dev0
- Platform: Linux-5.15.0-43-generic-x86_64-with-glibc2.17
- Python version: 3.8.18
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27199 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27199/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27199/comments | https://api.github.com/repos/huggingface/transformers/issues/27199/events | https://github.com/huggingface/transformers/issues/27199 | 1,971,700,940 | I_kwDOCUB6oc51hcTM | 27,199 | Failed to load Llama2 with customized device_map | {
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"Hi @polarispw, thanks for raising this issue! \r\n\r\nI think this bug - specifically the logic in `expand_device_map` - should be resolved with the merging of #27204\r\n\r\nIf you modify `expand_device_map` to:\r\n\r\n```\r\ndef expand_device_map(device_map, param_names):\r\n \"\"\"\r\n Expand a device map ... | 1,698 | 1,699 | 1,699 | NONE | null | ### System Info
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflow version (GPU?): 2.13.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/27198 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27198/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27198/comments | https://api.github.com/repos/huggingface/transformers/issues/27198/events | https://github.com/huggingface/transformers/issues/27198 | 1,971,635,395 | I_kwDOCUB6oc51hMTD | 27,198 | Saving and loading the model from local throws error | {
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"Sorry Pls ignore the above error stack and consider the below one.\r\n\r\nI am getting ValueError and the updated error stack is given below\r\n\r\n---------------------------------------------------------------------------\r\nValueError Traceback (most recent call last)\r\nCell In[2... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
Python version 3.11.3
Transformer version 4.34.1
### Who can help?
@Rocketknight1 @gan
### 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 (g... | {
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https://api.github.com/repos/huggingface/transformers/issues/27197 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27197/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27197/comments | https://api.github.com/repos/huggingface/transformers/issues/27197/events | https://github.com/huggingface/transformers/issues/27197 | 1,971,614,038 | I_kwDOCUB6oc51hHFW | 27,197 | 4.34 not compatible with accelerate | {
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"Setting `fsdp_cpu_ram_efficient_loading: false` in `fsdp_config` didnt work.",
"@SingL3 I confronted similar problem, see [here](https://github.com/huggingface/transformers/issues/27166). is version 4.33.0 ok? how many a100 gpus do you use to train 13b llama? Do you know what's minimal gpus to run 70b?",
"@fan... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
old env:
```
- `transformers` version: 4.33.0
- Platform: Linux-4.18.0-425.3.1.el8.x86_64-x86_64-with-glibc2.31
- Python version: 3.9.18
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0... | {
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https://api.github.com/repos/huggingface/transformers/issues/27196 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27196/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27196/comments | https://api.github.com/repos/huggingface/transformers/issues/27196/events | https://github.com/huggingface/transformers/pull/27196 | 1,971,423,259 | PR_kwDOCUB6oc5eSLdD | 27,196 | Fix docstring get maskformer resize output image size | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27196). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Fix `get_maskformer_resize_output_image_size docstring`
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUT... | {
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https://api.github.com/repos/huggingface/transformers/issues/27195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27195/comments | https://api.github.com/repos/huggingface/transformers/issues/27195/events | https://github.com/huggingface/transformers/pull/27195 | 1,971,367,006 | PR_kwDOCUB6oc5eR_Zm | 27,195 | [WhisperForCausalLM] Add WhisperForCausalLM for speculative decoding | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The failing tests seem to be unrelated:\r\n\r\n```\r\nFAILED tests/trainer/test_trainer.py::TrainerIntegrationWithHubTester::test_push_to_hub_with_saves_each_n_steps - Failed: Timeout >120.0s\r\nUNEXPECTED EXCEPTION: ChunkedEncodingE... | 1,698 | 1,698 | 1,698 | MEMBER | null | # What does this PR do?
This PR enables speculative decoding for all cases where the assistant model is stripped of its encoder weights as they are shared with the teacher model. For now, Distil-Whisper is the main use case here.
In addition a `WhisperForCausalLM` is loaded as it didn't exist yet for Distil-Whispe... | {
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https://api.github.com/repos/huggingface/transformers/issues/27194 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27194/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27194/comments | https://api.github.com/repos/huggingface/transformers/issues/27194/events | https://github.com/huggingface/transformers/pull/27194 | 1,971,272,366 | PR_kwDOCUB6oc5eRqrM | 27,194 | Fixed clip typo | {
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"Hi @Asymtode712, thanks for opening this PR!\r\n\r\nUnfortunately, we can't update the names of layers and modules in a model once its weights have been released, as this would prevent them from being properly loaded into the model after the name change."
] | 1,698 | 1,698 | 1,698 | 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.
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"@amyeroberts \r\nPlease review my PR\r\nand if any things needs to update or fix then tell me 😊.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27193). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Fix the typos and grammar mistakes in CONTRIBUTING.md.
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https://api.github.com/repos/huggingface/transformers/issues/27192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27192/comments | https://api.github.com/repos/huggingface/transformers/issues/27192/events | https://github.com/huggingface/transformers/pull/27192 | 1,971,117,327 | PR_kwDOCUB6oc5eRJQh | 27,192 | fix docstring in get_maskformer_resize_output_image_size | {
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Fixes docstring in `get_maskformer_resize_output_image_size`.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CON... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27191). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Fixes #27185
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-request... | {
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"I would like to fix it. Please assign me",
"Hi @fabfish, thanks for reporting! \r\n\r\nUnfortunately, we can't update the names of layers and modules in a model once its weights have been released, as this would prevent them from being properly loaded into the model after the name change. ",
"> Hi @fabfish, th... | 1,698 | 1,698 | 1,698 | NONE | null | Hi, I just found a typo in the CLIP model at
https://github.com/huggingface/transformers/blob/50378cbf6c1fd8717a74b36c352f57f9a73e7282/src/transformers/models/clip/modeling_clip.py#L817C26-L817C26
where the "layernorm" is misspelled as "layrnorm" in "pre_layrnorm" but correct in "post_layernorm", guess it would b... | {
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https://api.github.com/repos/huggingface/transformers/issues/27189 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27189/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27189/comments | https://api.github.com/repos/huggingface/transformers/issues/27189/events | https://github.com/huggingface/transformers/pull/27189 | 1,971,035,399 | PR_kwDOCUB6oc5eQ3Mr | 27,189 | Add `persistent_workers` parameter to `TrainingArguments` | {
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"Thanks @Sorrow321 🤗 "
] | 1,698 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
This PR gives the users the ability to pass `persistent_workers` parameters as `TrainingArguments` parameter to `Trainer`. Without this PR, you have to inherit from `Trainer` class to alter the behavior of `get_train_dataloader` function.
This parameters does the [following thing](https://... | {
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https://api.github.com/repos/huggingface/transformers/issues/27188 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27188/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27188/comments | https://api.github.com/repos/huggingface/transformers/issues/27188/events | https://github.com/huggingface/transformers/issues/27188 | 1,971,011,385 | I_kwDOCUB6oc51ez85 | 27,188 | RuntimeError: Failed to import transformers.pipelines because of the following error : cannot import name 'Memory' from 'joblib' (unknown location) | {
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"Related comment on another issue: https://github.com/huggingface/transformers/issues/14773#issuecomment-1787714316",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues t... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
Hello,
I installed transformers from the conda channel huggingface in linux. The Transformers version installed: "4.32.1". FYI, Python version: 3.9.15, Conda version: 4.10.3, Conda build version:3.21.5 .
### Who can help?
I tried to check whether the installation is working by running ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27187 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27187/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27187/comments | https://api.github.com/repos/huggingface/transformers/issues/27187/events | https://github.com/huggingface/transformers/issues/27187 | 1,970,923,189 | I_kwDOCUB6oc51eea1 | 27,187 | LlamaTokenizer is unbearably slow when dealing with large strings | {
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"Alright, well it seems like the clear solution is to use a batched tokenization strategy. Here's what I'm doing now (though I'm not sure if this is the best method):\r\n```\r\nblock_size = 1024\r\nbatch_size = 100000\r\ncontent = <my_very_large_string>\r\n\r\nbatches = [\r\n content[i : i + batch_size] for i in... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.34.1
- Platform: Linux-6.5.9-arch2-1-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflo... | {
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https://api.github.com/repos/huggingface/transformers/issues/27186 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27186/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27186/comments | https://api.github.com/repos/huggingface/transformers/issues/27186/events | https://github.com/huggingface/transformers/issues/27186 | 1,970,919,016 | I_kwDOCUB6oc51edZo | 27,186 | Speculative decoding functionality | {
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"Interesting! @gante WDYT? ",
"Hi @domgri 👋 \r\n\r\nI'm very interested in having DeepMind's Speculative decoding when `do_sample=True`, in `assisted_generation`! It should only need a few extra if/elses, to handle the clever token acceptance strategy they came up with :)\r\n\r\nAs for the others, since they don... | 1,698 | 1,702 | 1,702 | NONE | null | ### Feature request
Hey 👋
Idea is to add speculative decoding functionality in assisted generation code path. There are several similar ways how that can be achieved.
Related papers:
* [Blockwise Parallel Decoding](https://proceedings.neurips.cc/paper/2018/file/c4127b9194fe8562c64dc0f5bf2c93bc-Paper.pdf), by... | {
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https://api.github.com/repos/huggingface/transformers/issues/27185 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27185/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27185/comments | https://api.github.com/repos/huggingface/transformers/issues/27185/events | https://github.com/huggingface/transformers/issues/27185 | 1,970,851,203 | I_kwDOCUB6oc51eM2D | 27,185 | Small issue in docstring found | {
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"@rafaelpadilla can I work on that?"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | function `get_resize_output_image_size(...)` is being `# Copied from` in many models [code](https://github.com/search?q=repo%3Ahuggingface%2Ftransformers+get_resize_output_image_size&type=code).
However, the docstring has some issues like the `input_image` argument is missing and `image_size` is in docstring but ne... | {
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https://api.github.com/repos/huggingface/transformers/issues/27184 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27184/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27184/comments | https://api.github.com/repos/huggingface/transformers/issues/27184/events | https://github.com/huggingface/transformers/pull/27184 | 1,970,845,954 | PR_kwDOCUB6oc5eQNUg | 27,184 | Unify warning styles for better readability | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27184). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Quick unify warning styles of [examples/pytorch](https://github.com/huggingface/transformers/tree/main/examples/pytorch) for better readability
Example:
- Before
- `10/31/2023 15:41:34 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 6distributed training: False, 16-bits ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27183 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27183/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27183/comments | https://api.github.com/repos/huggingface/transformers/issues/27183/events | https://github.com/huggingface/transformers/issues/27183 | 1,970,839,170 | I_kwDOCUB6oc51eJ6C | 27,183 | Model loading on meta device | {
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"hi @RonanKMcGovern \r\nthanks for your issue\r\nI ran:\r\n\r\n```python\r\nimport torch\r\nfrom transformers import AutoModelForCausalLM\r\n\r\nmodel_id = \"tiiuae/falcon-7b\"\r\n\r\nmodel = AutoModelForCausalLM.from_pretrained(\r\n model_id,\r\n load_in_4bit=True,\r\n torch_dtype=torch.bfloat16,\r\n)\r\... | 1,698 | 1,698 | 1,698 | NONE | null | ### System Info
A6000 GPU on runpod.
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.35.0.dev0
- Platform: Linux-5.4.0-153-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27182 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27182/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27182/comments | https://api.github.com/repos/huggingface/transformers/issues/27182/events | https://github.com/huggingface/transformers/pull/27182 | 1,970,690,894 | PR_kwDOCUB6oc5ePrZ2 | 27,182 | Fix dropout in `StarCoder` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27182). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/27181 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27181/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27181/comments | https://api.github.com/repos/huggingface/transformers/issues/27181/events | https://github.com/huggingface/transformers/issues/27181 | 1,970,679,822 | I_kwDOCUB6oc51djAO | 27,181 | `skip_memory_metrics=False` breaks training loop when on MPS device | {
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"Update to the related issue, which adds some insight: adding an `on_step_begin` cache-clearing callback like so:\r\n\r\n```python\r\nclass MpsCacheClearCallback(transformers.TrainerCallback):\r\n def on_step_begin(\r\n self,\r\n args: TrainingArguments,\r\n state: TrainerState,\r\n c... | 1,698 | 1,706 | null | NONE | null | ### System Info
Here's my environment info:
- `transformers` version: 4.34.0
- Platform: macOS-14.0-arm64-arm-64bit
- Python version: 3.11.5
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27180 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27180/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27180/comments | https://api.github.com/repos/huggingface/transformers/issues/27180/events | https://github.com/huggingface/transformers/pull/27180 | 1,970,654,260 | PR_kwDOCUB6oc5ePjT2 | 27,180 | Translate task summary to chinese | {
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"@stevhliu \r\n\r\nhere is another pr. it may result in some merge conflict problem as i have another PR is still under review. \r\n\r\nYou can deal with it later.\r\n\r\nBest",
"@stevhliu \r\n\r\nhi, thansk for your review. I have fix the reviews and conflict problem. \r\n\r\nBest ",
"It seems there is still ... | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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"Related to #17937 but there is dummy model.\r\n\r\nWill take a look here.",
"@ArthurZucker has been tracking it, and has a draft PR for it: https://github.com/huggingface/transformers/pull/27114\r\n\r\n@fxmarty Can you check if applying this change fixes it?",
"@ydshieh @gante Thank you! No this PR is unrelate... | 1,698 | 1,706 | null | COLLABORATOR | null | ### System Info
- `transformers` version: 4.35.0.dev0
- Platform: Linux-5.15.0-1023-aws-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.3.1
- Accelerate version: 0.25.0.dev0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu118 (True)... | {
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https://api.github.com/repos/huggingface/transformers/issues/27178 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27178/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27178/comments | https://api.github.com/repos/huggingface/transformers/issues/27178/events | https://github.com/huggingface/transformers/pull/27178 | 1,970,539,429 | PR_kwDOCUB6oc5ePKHw | 27,178 | [`Quantization` / `tests` ] Fix bnb MPT test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Addresses: https://github.com/huggingface/transformers/pull/27145#discussion_r1376240625
https://github.com/mosaicml/llm-foundry/issues/703 being merged, we can now safely unskip the test and make sure to point the trust remote code model into the commit that contains the fix
cc @amyer... | {
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https://api.github.com/repos/huggingface/transformers/issues/27177 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27177/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27177/comments | https://api.github.com/repos/huggingface/transformers/issues/27177/events | https://github.com/huggingface/transformers/issues/27177 | 1,970,528,559 | I_kwDOCUB6oc51c-Ev | 27,177 | May be detach the loss when evaluating? in case GPU OOM | {
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"I'm not sure why exactly that'd be helpful, since we already detach the loss during `prediction_step`: https://github.com/huggingface/transformers/blob/main/src/transformers/trainer.py#L3407\r\n\r\nAnd convert it to the CPU later on during the call to `nested_numpify`: https://github.com/huggingface/transformers/b... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.15.0-86-generic-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: v0.15.0
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/27176 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27176/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27176/comments | https://api.github.com/repos/huggingface/transformers/issues/27176/events | https://github.com/huggingface/transformers/pull/27176 | 1,970,509,267 | PR_kwDOCUB6oc5ePDbi | 27,176 | Backward compatibility fix for the Conversation class | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | MEMBER | null | Improve our handling of the old `past_user_inputs` property a bit, and revert a hack in the tests because it now works properly. Should fix all the tests that were red!
cc @ydshieh | {
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https://api.github.com/repos/huggingface/transformers/issues/27175 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27175/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27175/comments | https://api.github.com/repos/huggingface/transformers/issues/27175/events | https://github.com/huggingface/transformers/pull/27175 | 1,970,453,485 | PR_kwDOCUB6oc5eO3JD | 27,175 | Trigger CI if `tiny_model_summary.json` is modified | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | COLLABORATOR | null | # What does this PR do?
When `tests/utils/tiny_model_summary.json` is changed, currently it won't trigger tests, as it is not a python file.
However, we expect CI being triggered, as the modification of this file usually means there are new models enabling pipeline testing.
(So far, sometimes a PR (usually min... | {
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https://api.github.com/repos/huggingface/transformers/issues/27174 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27174/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27174/comments | https://api.github.com/repos/huggingface/transformers/issues/27174/events | https://github.com/huggingface/transformers/issues/27174 | 1,970,119,894 | I_kwDOCUB6oc51baTW | 27,174 | Bug in greedy_search when use_cache=False and use inputs_embeds as model input | {
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"BTW, I only checked greedy_search. I'm not sure if this bug exists also in other decode strategies.",
"Hey @TsuTikgiau 👋 Thank you for opening this issue.\r\n\r\nThe situation you describe is correct; `input_embeds` is not updated throughout `generate`, `input_ids` is. As such, it requires `use_cache=True` to ... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
transformers 4.30.0, python 3.9, ubuntu
### Who can help?
@gante
### 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/27173 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27173/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27173/comments | https://api.github.com/repos/huggingface/transformers/issues/27173/events | https://github.com/huggingface/transformers/pull/27173 | 1,970,088,294 | PR_kwDOCUB6oc5eNmIx | 27,173 | [doctring] Fix docstring for BlipTextConfig, BlipVisionConfig | {
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"@amyeroberts",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27173). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | edit docstrings
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/27172 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27172/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27172/comments | https://api.github.com/repos/huggingface/transformers/issues/27172/events | https://github.com/huggingface/transformers/issues/27172 | 1,969,958,894 | I_kwDOCUB6oc51ay_u | 27,172 | Fail to run run_classification.py example | {
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"Hi @pengwa, thanks for raising this issue! \r\n\r\nFrom the error message you can see that an exception is raised here: \r\n\r\n```\r\n File \"/tmp/transformers/src/transformers/tokenization_utils_base.py\", line 2703, in _get_padding_truncation_strategies\r\n raise ValueError(\r\nValueError: Asking to pad but... | 1,698 | 1,699 | 1,699 | NONE | null | ### System Info
transformers: 4.35.0.dev0, 8211c59b9a8fe84d2861446b26542f89a0260e64
Name: torch： Version: 2.2.0.dev20231007+cu118
Repro command:
```
torchrun --nproc_per_node $num_gpus \
examples/pytorch/text-classification/run_classification.py \
--model_name_or_path meta-llama/Llama-2-7b-h... | {
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https://api.github.com/repos/huggingface/transformers/issues/27171 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27171/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27171/comments | https://api.github.com/repos/huggingface/transformers/issues/27171/events | https://github.com/huggingface/transformers/issues/27171 | 1,969,895,740 | I_kwDOCUB6oc51ajk8 | 27,171 | 4.34 cause baichuan tokenizer break | {
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"upgrade transformers to 4.33.2",
"\r\n\r\n\r\n\r\n> upgrade transformers to 4.33.2\r\n\r\nThanks, I'll try it.\r\n\r\nIt's \"downgrade\", precisely.",
"Hey! You should open an issue on the repo as this is a `remote` code, which we have no real control over. The fix is fairly straightforward, but should be done... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
transformers==4.34
### Who can help?
@ArthurZucker and @younesbelkada
### 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... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | COLLABORATOR | null | # What does this PR do?
Now our CIs run on AWS runners, and they are spun up when a action is triggered and removed afterward, it doesn't make sense to check the runner status as before (where the runners existed forever). | {
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https://api.github.com/repos/huggingface/transformers/issues/27169 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27169/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27169/comments | https://api.github.com/repos/huggingface/transformers/issues/27169/events | https://github.com/huggingface/transformers/issues/27169 | 1,969,723,212 | I_kwDOCUB6oc51Z5dM | 27,169 | transformers.utils.fx feature support for passes.shape_prop.ShapeProp(graph) | {
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"Hi @KotaHemanthUC, thanks for raising this issue! \r\n\r\nThis seems like an issue which is better placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.\r\n\r\nIf you believe there's a bug in the transformers library, then please provide ... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
Ubuntu x86_64.
Hi Dev community,
I want to get intermediate tensor shape llm for given input using fx graph.
In torch fx, we have
out = fx.passes.shape_prop.ShapeProp(graph)
out.propogate(sample_input).shape
Is there similar feature capability for transformers.utils.fx ?
... | {
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https://api.github.com/repos/huggingface/transformers/issues/27168 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27168/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27168/comments | https://api.github.com/repos/huggingface/transformers/issues/27168/events | https://github.com/huggingface/transformers/issues/27168 | 1,969,563,786 | I_kwDOCUB6oc51ZSiK | 27,168 | _clamp_coord in FuyuProcessor was not defined | {
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"Hi @nooodles2023, thanks for raising this issue! \r\n\r\nThere's currently some active development on the Fuyu processing so it's not-yet in a stable state: #27133, #27007, #27083 \r\n\r\nIt's good that this has been flagged as something we need to address cc @pcuenca @molbap ",
"You are right @nooodles2023! As ... | 1,698 | 1,701 | 1,701 | NONE | null | ### System Info
on transformers master branch
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Rep... | {
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https://api.github.com/repos/huggingface/transformers/issues/27167 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27167/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27167/comments | https://api.github.com/repos/huggingface/transformers/issues/27167/events | https://github.com/huggingface/transformers/pull/27167 | 1,969,538,191 | PR_kwDOCUB6oc5eLuWc | 27,167 | Corrected grammatical error and improved readability of Readme.md file. | {
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"@pvl pls review, and merge.",
"Hi @cheta-nyadav, thanks for opening a PR an contributing to improving our docs! \r\n\r\nAs both of these changes are grammatically incorrect this PR won't be approved and merged in",
"This issue has been automatically marked as stale because it has not had recent activity. If yo... | 1,698 | 1,702 | 1,702 | NONE | null | # What does this PR do?
Corrects a prominent grammatical mistake, using a instead of an before "unified".
Changed a line for easier readability.
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"cc @muellerz @pacman100 "
] | 1,698 | 1,700 | 1,700 | NONE | null | ### System Info
node 2(throw exception)
- `Accelerate` version: 0.23.0
- Platform: Linux-5.4.0-148-generic-x86_64-with-glibc2.31
- Python version: 3.9.18
- Numpy version: 1.24.1
- PyTorch version (GPU?): 2.1.0+cu118 (True)
- PyTorch XPU available: False
- PyTorch NPU available: False
- System RAM: 38.44 GB
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27165 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27165/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27165/comments | https://api.github.com/repos/huggingface/transformers/issues/27165/events | https://github.com/huggingface/transformers/pull/27165 | 1,969,447,976 | PR_kwDOCUB6oc5eLbYw | 27,165 | fix: Fix typical_p behaviour broken in recent change | {
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"@gante sorry about this! I observed that it can actually make a significant difference to the output when typical_p is used.",
"(the CI failed for unrelated reasons, rerunning failed jobs)"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | A recent PR https://github.com/huggingface/transformers/pull/26579 fixed an edge case out-of-bounds tensor indexing error in TypicalLogitsWarper, and a related behaviour change was made that we thought fixed a long-standing bug w.r.t. the token inclusion cutoff.
However after looking more closely, I am pretty certai... | {
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https://api.github.com/repos/huggingface/transformers/issues/27164 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27164/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27164/comments | https://api.github.com/repos/huggingface/transformers/issues/27164/events | https://github.com/huggingface/transformers/pull/27164 | 1,969,384,805 | PR_kwDOCUB6oc5eLN2G | 27,164 | Remove broken links to s-JoL/Open-Llama | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27164). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
I noticed a broken link in the README, for the source code of the Open-Llama model. This looks like it matches the docs where there's been a warning added:
> This model is in maintenance mode only, so we won't accept any new PRs changing its code.
To reduce confusion (and link rot!) thi... | {
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https://api.github.com/repos/huggingface/transformers/issues/27163 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27163/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27163/comments | https://api.github.com/repos/huggingface/transformers/issues/27163/events | https://github.com/huggingface/transformers/pull/27163 | 1,969,325,086 | PR_kwDOCUB6oc5eLAn6 | 27,163 | [WIP] Bounding box transformations | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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] | 1,698 | 1,700 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
Facilitates bounding box transformations among different formats:
`XYXY` <-> `XYWH` <-> `XCYCWH` <-> `RELATIVE_XYXY` <-> `RELATIVE_XYWH` <-> `RELATIVE_XCYCWH`
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27162 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27162/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27162/comments | https://api.github.com/repos/huggingface/transformers/issues/27162/events | https://github.com/huggingface/transformers/pull/27162 | 1,969,323,766 | PR_kwDOCUB6oc5eLAVk | 27,162 | Fixed base model class name extraction from PeftModels | {
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"cc @younesbelkada ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27162). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
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"Created a PR for this quick fix, if that helps. ",
"cc @younesbelkada ",
"Thanks for the deepdive! I will reply you on the PR itself"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.0.dev0
- Platform: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.... | {
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https://api.github.com/repos/huggingface/transformers/issues/27160 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27160/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27160/comments | https://api.github.com/repos/huggingface/transformers/issues/27160/events | https://github.com/huggingface/transformers/pull/27160 | 1,969,313,309 | PR_kwDOCUB6oc5eK-Bq | 27,160 | improving TimmBackbone to support FrozenBatchNorm2d | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
The `TimmBackbone` offers various customizable parameters, such as `num_channels`, `features_only`, and `out_indices`.
Currently, we lack direct support for timm's `freeze_batch_norm_2d(...) `function, which substitutes the backbone's `BatchNorm2d` layers with `FrozenBatchNorm2d`.
For m... | {
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https://api.github.com/repos/huggingface/transformers/issues/27159 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27159/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27159/comments | https://api.github.com/repos/huggingface/transformers/issues/27159/events | https://github.com/huggingface/transformers/pull/27159 | 1,969,173,398 | PR_kwDOCUB6oc5eKe5r | 27,159 | [WIP] Add implementation of `spectrogram_batch` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27159). All of your documentation changes will be reflected on that endpoint.",
"Super cool PR @ravenouse, a most welcome upgrade! As mentioned by @ArthurZucker, one other optimisation we can employ is using the `torch.stft... | 1,698 | 1,708 | null | NONE | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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# What does this PR do?
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] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
This PR:
- updates the KOSMOS-2 docs to include a figure (makes the docs more vibrant)
- makes sure it is placed in the "multimodal" section rather than the "text models" section | {
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"@amyeroberts ",
"Hi @gfggithubleet, thanks for opening this PR and contributing to improving our docs! The changes in this PR are stylistic and not consistent with the rest of the repo. As such, this PR won't be approved "
] | 1,698 | 1,698 | 1,698 | NONE | null | TYPO FIXED
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/27155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27155/comments | https://api.github.com/repos/huggingface/transformers/issues/27155/events | https://github.com/huggingface/transformers/pull/27155 | 1,969,058,093 | PR_kwDOCUB6oc5eKFkD | 27,155 | Fix import of torch.utils.checkpoint | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
When rebasing on main after #27124 was merged, I couldn't run any test as I got:
```
raise RuntimeError(
E RuntimeError: Failed to import transformers.models.transfo_xl.modeling_transfo_xl because of the following error (look up to see its traceback):
E module 'torch.utils' has no a... | {
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"@amyeroberts \r\nPlease review my PR \r\nand if anything needs to change then tell me 😊.",
"Welcome 😊",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27154). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
fix the typo (out-of-the box ---> out-of-the-box)
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27153). All of your documentation changes will be reflected on that endpoint."
] | 1,698 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
Following [this hub discussion](https://huggingface.co/lukewys/laion_clap/discussions/3) and the addition of CLAP new checkpoints this summer, I've corrected CLAP converting script and added the new checkpoints to the hub ([here](https://huggingface.co/ylacombe/larger_clap_music), [here](http... | {
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"@amyeroberts ",
"@amyeroberts should I close it, Please respond ",
"@AaadityaG Please have patience. There are many people who have open PRs and issues who are waiting for a response. We try to address them as soon as we can but this is normally on the order of hours or days rather than minutes. \r\n\r\nYes, y... | 1,698 | 1,698 | 1,698 | NONE | null | # What does this PR do?
Audio -> an Audio
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https://api.github.com/repos/huggingface/transformers/issues/27151 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27151/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27151/comments | https://api.github.com/repos/huggingface/transformers/issues/27151/events | https://github.com/huggingface/transformers/issues/27151 | 1,968,733,015 | I_kwDOCUB6oc51WHtX | 27,151 | Evaluatation of the gradients of class probabilities and logits with respect to inputs. | {
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"Hi @behroozazarkhalili, thanks for raising an issue! \r\n\r\nThis is a question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.",
"> Hi @behroozazarkhalili, thanks for raising an issue!\r\n> \r\n> This is a question best plac... | 1,698 | 1,698 | 1,698 | NONE | null | I want to compute the gradient of class probability and class logits with respect to inputs in transformer models.
I have read issues #8601 and #8747, as well as the related test in the repository, to develop the following function.
```python
def get_attention_hidden_states_grad_logits(hf_model, input, class_i... | {
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https://api.github.com/repos/huggingface/transformers/issues/27150 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27150/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27150/comments | https://api.github.com/repos/huggingface/transformers/issues/27150/events | https://github.com/huggingface/transformers/issues/27150 | 1,968,606,167 | I_kwDOCUB6oc51VovX | 27,150 | Fast T5 tokenization fails for models with additional special tokens not prefixed by extra_id_ | {
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"Hey, the PR was merged and should have been part of the latest release. I no longer have this issue on main, nor on `transformers == 4.35.0`. It was not included in the patch as it was reported after 😉 ",
"It works with the latest release, thank you "
] | 1,698 | 1,699 | 1,699 | NONE | null | ### System Info
- `transformers` version: 4.34.1
- Platform: Windows-10-10.0.22621-SP0
- Python version: 3.9.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 1.13.1+cpu (False)
- Tensorflow version (GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/27149 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27149/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27149/comments | https://api.github.com/repos/huggingface/transformers/issues/27149/events | https://github.com/huggingface/transformers/pull/27149 | 1,968,496,015 | PR_kwDOCUB6oc5eIJ7X | 27,149 | Remove some Kosmos-2 `copied from` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | COLLABORATOR | null | # What does this PR do?
Remove some Kosmos-2 `copied from` as there is recent change in #27086.
Will update them later to match bart, but for now better not to break `main` CI. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Move this to #27148 otherwise that PR will fail CI."
] | 1,698 | 1,698 | 1,698 | COLLABORATOR | null | # What does this PR do?
Update `Kosmos-2` gradient checkpointing as @younesbelkada told me. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"That is in the plan :-)"
] | 1,698 | 1,698 | 1,698 | COLLABORATOR | null | # What does this PR do?
Fix some tests using `"common_voice"`.
Errors:
```
FileNotFoundError: https://voice-prod-bundler-ee1969a6ce8178826482b88e843c335139bd3fb4.s3.amazonaws.com/cv-corpus-6.1-2020-12-11/en.tar.gz
```
and
```
This version of the Common Voice dataset is deprecated.
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"Thanks for opening this PR @statelesshz ! Let us know when you'd like a review",
"Due to network issue， it's not easy to download the model weights on huggingface hub from my area, so I take `test_modeling_bert.py` as an example to give the execution reaults on NPU.\r\n\r\n```\r\n(hf) [root@localhost /home/hf/tr... | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Part of https://github.com/huggingface/transformers/issues/25654#issuecomment-1783704306
## 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/hugging... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks! makes sense, adapted the test accordingly and made : https://github.com/mosaicml/llm-foundry/issues/703 to track the issue"
] | 1,698 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
Fixes the currently bnb failing test ([Link to failing job](https://github.com/huggingface/transformers/actions/runs/6680718296))
```
tests/quantization/bnb/test_mixed_int8.py::MixedInt8GPT2Test::test_get_keys_to_not_convert
```
The issue is related to the fact that currently the `tru... | {
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