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https://api.github.com/repos/huggingface/transformers/issues/26430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26430/comments | https://api.github.com/repos/huggingface/transformers/issues/26430/events | https://github.com/huggingface/transformers/pull/26430 | 1,914,710,918 | PR_kwDOCUB6oc5bS57B | 26,430 | Changed warnings.warn with logging.getLogger | {
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https://api.github.com/repos/huggingface/transformers/issues/26429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26429/comments | https://api.github.com/repos/huggingface/transformers/issues/26429/events | https://github.com/huggingface/transformers/issues/26429 | 1,914,505,400 | I_kwDOCUB6oc5yHQi4 | 26,429 | pretrained_model_name_or_path cannot be None | {
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"Thanks for reporting, can you share the full traceback?",
"Sure, here is the complete traceback:\r\n\r\n Traceback (most recent call last):\r\n File \"/home/raha/.conda/envs/myenv/lib/python3.11/site-packages/huggingface_hub/utils/_errors.py\", line 261, in hf_raise_for_status\r\n response.raise_f... | 1,695 | 1,701 | 1,701 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.4.0-147-generic-x86_64-with-glibc2.31
- Python version: 3.11.4
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/26428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26428/comments | https://api.github.com/repos/huggingface/transformers/issues/26428/events | https://github.com/huggingface/transformers/issues/26428 | 1,914,399,129 | I_kwDOCUB6oc5yG2mZ | 26,428 | IDEFICS Cross Attention: Text tokens appearing before images still attend to image embeddings | {
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"What do you think @leot13 @VictorSanh ?",
"Thank you for noticing! It's not easy to detect. We are aware but did training this way. In practice that means the few first tokens with no image are attending to every image instead of none of them, so there's a small information leak.\r\nTo fix this, we could apply t... | 1,695 | 1,700 | 1,700 | NONE | null | ### System Info
- `transformers` version: 4.33.1
- Platform: Linux-5.4.0-153-generic-x86_64-with-glibc2.31
- Python version: 3.9.18
- Huggingface_hub version: 0.17.1
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorfl... | {
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https://api.github.com/repos/huggingface/transformers/issues/26427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26427/comments | https://api.github.com/repos/huggingface/transformers/issues/26427/events | https://github.com/huggingface/transformers/pull/26427 | 1,914,150,601 | PR_kwDOCUB6oc5bRASk | 26,427 | Update deepspeed.py | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,695 | 1,699 | 1,699 | CONTRIBUTOR | null |
# What does this PR do?
replaces warnings.warn with logging.warning..
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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 aweso... | {
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https://api.github.com/repos/huggingface/transformers/issues/26426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26426/comments | https://api.github.com/repos/huggingface/transformers/issues/26426/events | https://github.com/huggingface/transformers/issues/26426 | 1,914,141,463 | I_kwDOCUB6oc5yF3sX | 26,426 | LlamaForCausalLM | {
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"Maybe cc @SunMarc :) ",
"Hi @Shikamaru5, if i understood that correctly, you want to be able to load the parameters contained in the state_dict in batches to the GPU. If this is indeed the case, i don't think we have an easy fix. Here is the [line](see code [here](https://github.com/huggingface/transformers/blob... | 1,695 | 1,696 | 1,695 | NONE | null | I'm trying to implement the bitsandbytes library into my script to run a Llama2 model and in this instance it requires that I use a custom device map. I have about 458 layers and most of them need to be sent to the GPU. However, I realized upon the loading the model it seems there's this huge bottleneck of leading ever... | {
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https://api.github.com/repos/huggingface/transformers/issues/26425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26425/comments | https://api.github.com/repos/huggingface/transformers/issues/26425/events | https://github.com/huggingface/transformers/pull/26425 | 1,913,932,047 | PR_kwDOCUB6oc5bQQH- | 26,425 | Add torch `RMSProp` optimizer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks, I can't merge it as I don't have write access, so @ArthurZucker or @younesbelkada can do so!"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Add torch `RMSProp` for easy use in TRL library, particularly to match the default use case of Direct Preference Optimization.
Script is [here](https://github.com/huggingface/trl/blob/main/examples/dpo.py).
<!-- Remove if not applicable -->
Fixes # (issue)
## Before submitting
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26424/comments | https://api.github.com/repos/huggingface/transformers/issues/26424/events | https://github.com/huggingface/transformers/issues/26424 | 1,913,786,143 | I_kwDOCUB6oc5yEg8f | 26,424 | Flash Attention 2 support for BERT, DistilBERT, and T5 | {
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"Hey @AmenRa you might be interested in this issue: https://github.com/huggingface/transformers/issues/26350\r\n\r\ncc @younesbelkada ",
"Thanks for your interest @AmenRa, I have just added these architectures to the list in #26350",
"@LysandreJik thanks for the fast reply.\r\n@younesbelkada thanks for adding t... | 1,695 | 1,698 | 1,698 | NONE | null | Hi and thanks for adding Flash Attention 2!
I was wondering if there's any plan to add support for Flash Attention 2 to BERT, DistilBERT, and T5 models.
Those models are still the go-to Transformer models in my research community (Information Retrieval).
Reducing training/inference time and memory usage of those m... | {
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https://api.github.com/repos/huggingface/transformers/issues/26423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26423/comments | https://api.github.com/repos/huggingface/transformers/issues/26423/events | https://github.com/huggingface/transformers/pull/26423 | 1,913,772,609 | PR_kwDOCUB6oc5bPtK5 | 26,423 | testing doc-builder | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | testing https://github.com/huggingface/doc-builder/pull/404
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https://api.github.com/repos/huggingface/transformers/issues/26422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26422/comments | https://api.github.com/repos/huggingface/transformers/issues/26422/events | https://github.com/huggingface/transformers/pull/26422 | 1,913,766,175 | PR_kwDOCUB6oc5bPrwW | 26,422 | fix_mbart_tied_weights | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hmm I'm not sure if all mBART weights share all weight matrices with each other. \r\n\r\nWe should make sure that at least for all the following models:\r\nhttps://huggingface.co/models?other=mbart&sort=trending&search=facebook\r\nal... | 1,695 | 1,695 | 1,695 | MEMBER | null | # What does this PR do ?
Fixes #26266. This PR fixes the tied weights for mbart model. Before this PR, only `lm_head` was tied to `model.shared`. Now, we also make sure to tie `model.encoder.embed_tokens` and `model.decoder.embed_tokens` to `model.shared` by defining the `_tie_weights` method which will be called whe... | {
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https://api.github.com/repos/huggingface/transformers/issues/26421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26421/comments | https://api.github.com/repos/huggingface/transformers/issues/26421/events | https://github.com/huggingface/transformers/pull/26421 | 1,913,754,520 | PR_kwDOCUB6oc5bPpOS | 26,421 | Fix attention computation when padding mask is not null | {
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"Pinging @Rocketknight1 so he can have a look 😉 ",
"Will do, but might be tomorrow before I get a chance!",
"Hey! I am working on #27114 which should fix the attention computation issue \r\n",
"> Hey! I am working on #27114 which should fix the attention computation issue\r\n\r\nHi @ArthurZucker, I am afraid... | 1,695 | 1,702 | 1,702 | NONE | null | # What does this PR do?
This PR fixed two problems when using padding mask in `LlamaAttention`. In detail,
- Replace the `bfloat.min` with `float("-inf")` as the default value for the mask.
- Transpose the non-casual mask.
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https://api.github.com/repos/huggingface/transformers/issues/26420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26420/comments | https://api.github.com/repos/huggingface/transformers/issues/26420/events | https://github.com/huggingface/transformers/issues/26420 | 1,913,735,538 | I_kwDOCUB6oc5yEUly | 26,420 | automatic-speech-recognition pipeline returns unhelpful error when passing inputs | {
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"@sanchit-gandhi, could you give this a look? :)",
"Thanks for the comprehensive issue description @govindrai! I've opened a PR with the proposed changes - feel free to take a look and comment if it looks good to you. Unfortunately, we can't get a more detailed log out for when the audio file read fails. We use `... | 1,695 | 1,696 | 1,696 | NONE | null | ### Feature request
[Colab Notebook](https://colab.research.google.com/drive/16vg9J-VYU48bu1C_lqfavlzzE01-K2mL?usp=sharing)
There are a couple user experience improvements that will really help those that are still in the beginning phases of their HF journey. Following the [HF Pipeline tutorial](https://huggingfa... | {
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https://api.github.com/repos/huggingface/transformers/issues/26419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26419/comments | https://api.github.com/repos/huggingface/transformers/issues/26419/events | https://github.com/huggingface/transformers/pull/26419 | 1,913,600,349 | PR_kwDOCUB6oc5bPHNl | 26,419 | Update semantic_segmentation.md | {
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https://api.github.com/repos/huggingface/transformers/issues/26418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26418/comments | https://api.github.com/repos/huggingface/transformers/issues/26418/events | https://github.com/huggingface/transformers/pull/26418 | 1,913,349,021 | PR_kwDOCUB6oc5bOQE5 | 26,418 | 🚨 🚨 Raise error when no speaker embeddings in speecht5._generate_speech | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the reviews @sanchit-gandhi and @Vaibhavs10 !\r\n\r\nI'll request @ArthurZucker's reviews on this tiny PR ! :hugs: ",
"Hey @ArthurZucker, thanks for the review!\r\n\r\nI'm not an expert on SpeechT5, but as @sanchit-gandh... | 1,695 | 1,697 | 1,697 | COLLABORATOR | null | # What does this PR do?
Following the discussion in #26401, this adds a warning when using `_generate_speech` without speaker embeddings.
If necessary, and after discussion, we could throw an error instead of a warning!
<!-- Remove if not applicable -->
Fixes #26401
## Who can review?
cc @Vaibhavs1... | {
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https://api.github.com/repos/huggingface/transformers/issues/26417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26417/comments | https://api.github.com/repos/huggingface/transformers/issues/26417/events | https://github.com/huggingface/transformers/issues/26417 | 1,913,323,561 | I_kwDOCUB6oc5yCwAp | 26,417 | Every time I run run_glue.py I get stuck in the "sock.connect(sa)" of the code at several places. Why? Is it a network problem? | {
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"Hmmm it seems like it could be a connection issue, yes! Do you have the full error code? Do you have the same issue if running in google colab?",
"> Hmmm it seems like it could be a connection issue, yes! Do you have the full error code? Do you have the same issue if running in google colab?\n\nI am in China and... | 1,695 | 1,705 | 1,698 | NONE | null | ### System Info
check_min_version("4.33.0.dev0")
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26415/comments | https://api.github.com/repos/huggingface/transformers/issues/26415/events | https://github.com/huggingface/transformers/pull/26415 | 1,913,297,486 | PR_kwDOCUB6oc5bOEwc | 26,415 | [`FA` / `tests`] Add use_cache tests for FA models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
While testing out https://github.com/huggingface/transformers/pull/26414 I realised the current tests silently pass as we only check for the immediate next predicted token
For small models FA2 is quite flaky so I have decided to not increase `max_new_tokens` in `test_flash_attn_2_generate_... | {
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https://api.github.com/repos/huggingface/transformers/issues/26416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26416/comments | https://api.github.com/repos/huggingface/transformers/issues/26416/events | https://github.com/huggingface/transformers/issues/26416 | 1,913,303,764 | I_kwDOCUB6oc5yCrLU | 26,416 | RuntimeError: Unable to build docs using doc-builder | {
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"Hi @ENate , I'm transferring the issue to the `transformers` repo as it seems you are trying to build the docs for this library (instead of `huggingface_hub`). Also cc @mishig25 who worked on the doc builder.",
"Hi @Wauplin thanks. Was building the docs after forking the transformers repo. ",
"As the error sug... | 1,695 | 1,703 | 1,703 | CONTRIBUTOR | null | I am trying to build the docs with ```doc-builder ```
using the following command
```
doc-builder build transformers docs/source/en --build_dir ~/tmp/test-build
```
but got the following error:
```
Traceback (most recent call last):
File "/home/miniconda3/envs/transformers/bin/doc-builder", line 8, in... | {
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https://api.github.com/repos/huggingface/transformers/issues/26414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26414/comments | https://api.github.com/repos/huggingface/transformers/issues/26414/events | https://github.com/huggingface/transformers/pull/26414 | 1,913,220,887 | PR_kwDOCUB6oc5bNz4Y | 26,414 | [`FA2`] Add flash attention for opt | {
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"The tests were done using a RTX 3060 (Ampere) which supports Flash Attention 2.\r\n\r\n",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers... | 1,695 | 1,700 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/26413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26413/comments | https://api.github.com/repos/huggingface/transformers/issues/26413/events | https://github.com/huggingface/transformers/issues/26413 | 1,913,213,009 | I_kwDOCUB6oc5yCVBR | 26,413 | `resume_from_checkpoint` function fails because "There seems to be not a single sample in your epoch_iterator" | {
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"Update - I added `ignore_data_skip=True` to `TrainingArguments`, and it was succesfull in running a single epoch, and then failed with:\r\n\r\n> ValueError: 'videomae-finetuned/checkpoint-3000' is not in list\r\n\r\n\r\nCheckpoint 3000 is my best checkpoint (according to my `metric_for_best_model`), so I'm assumin... | 1,695 | 1,707 | null | NONE | null | ### System Info
transformers version - 4.33.2
I'm using the trainer api as such, so it pushes the latest checkpoint to huggingface each epoch:
```
from transformers import TrainingArguments, Trainer
new_model_name = "videomae-finetuned"
num_epochs = 50
batch_size = 8
steps_per_epoch = train_dataset.num_vi... | {
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https://api.github.com/repos/huggingface/transformers/issues/26412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26412/comments | https://api.github.com/repos/huggingface/transformers/issues/26412/events | https://github.com/huggingface/transformers/issues/26412 | 1,913,206,874 | I_kwDOCUB6oc5yCTha | 26,412 | How to run Trainer + DeepSpeed + Zero3 + PEFT | {
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"Hello @BramVanroy, DeepSpeed is not compatible with BitsandBytes. You can either use Trainer + PEFT + DeepSpeed ZeRO3 or Trainer + PEFT + BitsandBytes/int4/int8. Above, you are trying to do Trainer + PEFT + BitsandBytes 4-bit + DeepSpeed ZeRO3 which isn't supported. For using PEFT with DeepSpeed ZeRO3, please refe... | 1,695 | 1,704 | null | COLLABORATOR | null | ### System Info
- `transformers` version: 4.34.0.dev0
- Platform: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.34
- Python version: 3.11.4
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.24.0.dev0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+c... | {
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https://api.github.com/repos/huggingface/transformers/issues/26411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26411/comments | https://api.github.com/repos/huggingface/transformers/issues/26411/events | https://github.com/huggingface/transformers/pull/26411 | 1,913,191,273 | PR_kwDOCUB6oc5bNtXi | 26,411 | [`WIP`] Multi-adapter saving support for PEFT | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26411). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,695 | 1,700 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
To be potentially merged after https://github.com/huggingface/transformers/pull/26407
This PR adds the multi-adapter support for `save_pretrained` to be consistent with PEFT API that saves all adapters when calling `save_pretrained`. Note the default adapter is always saved in the root dire... | {
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https://api.github.com/repos/huggingface/transformers/issues/26410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26410/comments | https://api.github.com/repos/huggingface/transformers/issues/26410/events | https://github.com/huggingface/transformers/issues/26410 | 1,913,153,497 | I_kwDOCUB6oc5yCGfZ | 26,410 | TypeError: LlamaForCausalLM.__init__() got an unexpected keyword argument 'use_flash_attention_2' | {
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"Hi @timelfrink \r\nThanks for your interest in this feature, please use the main build of transformers to use that feature: `pip install -U git+https://github.com/huggingface/transformers.git`",
"@younesbelkada thanks for the quick hint and yes that worked!"
] | 1,695 | 1,695 | 1,695 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-4.14.318-241.531.amzn2.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (False... | {
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https://api.github.com/repos/huggingface/transformers/issues/26409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26409/comments | https://api.github.com/repos/huggingface/transformers/issues/26409/events | https://github.com/huggingface/transformers/issues/26409 | 1,912,963,755 | I_kwDOCUB6oc5yBYKr | 26,409 | Skip part of the dataset when training with trainer | {
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"\r\n",
"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks! "... | 1,695 | 1,699 | 1,699 | NONE | null | When I used the trainer to train, I encountered some bad data that caused the loss to increase abnormally. I wanted to temporarily skip this part of the data. I directly skipped "self.optimizer.step()" in some steps but it did not take effect. , the trajectory of loss is still consistent with before. I want to know how... | {
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https://api.github.com/repos/huggingface/transformers/issues/26408 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26408/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26408/comments | https://api.github.com/repos/huggingface/transformers/issues/26408/events | https://github.com/huggingface/transformers/issues/26408 | 1,912,956,359 | I_kwDOCUB6oc5yBWXH | 26,408 | Use a custom SummaryWriter to record training parameters | {
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"Hello @young-chao, the `Trainer`'s initialization method accepts a `callbacks` argument which is a list of `TrainerCallback`s.\r\n\r\nYou can pass a `TensorBoardCallback` to that list that you can initialize with your own `tb_writer`.\r\n\r\nSee its definition here: https://github.com/huggingface/transformers/blob... | 1,695 | 1,696 | 1,696 | NONE | null | When I use trainer, how should I use a custom SummaryWriter to record training parameters, such as grad_norm, loss_scale, etc. I don’t see the setting options in the trainer parameters. | {
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https://api.github.com/repos/huggingface/transformers/issues/26407 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26407/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26407/comments | https://api.github.com/repos/huggingface/transformers/issues/26407/events | https://github.com/huggingface/transformers/pull/26407 | 1,912,936,840 | PR_kwDOCUB6oc5bM1qm | 26,407 | [`PEFT`] Fix PEFT multi adapters support | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for all the reviews, I think I have addressed most of them now, I propose to handle the multi-adapter saving in a follow up PR #26411 to be consistent with PEFT API",
"Thanks ! For that we could maybe sync the next PEFT rele... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
With https://github.com/huggingface/peft/pull/905 being merged, it added the support for multi-adapter inference (combining multiple adapters at inference).
The PR has introduced some changes that are not compatible anymore with peft integration of transformers, for example `active_adapte... | {
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https://api.github.com/repos/huggingface/transformers/issues/26406 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26406/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26406/comments | https://api.github.com/repos/huggingface/transformers/issues/26406/events | https://github.com/huggingface/transformers/pull/26406 | 1,912,928,556 | PR_kwDOCUB6oc5bMz4w | 26,406 | change mention of decoder_input_ids to input_ids and same with decode_inputs_embeds | {
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"Could you just run the code quality tool to ensure that the code quality passes? You can install them with the following, from the root of your clone:\r\n```\r\npip install -e \".[quality]\"\r\n```\r\nAnd then run them with:\r\n```\r\nmake fixup\r\n``` ",
"Hmm looks like something is wrong? Not sure if I am doin... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | The arguments to Llama2 is `input_ids` and `inputs_embeds` but yet in several places it is mentioned as `decoder_input_ids` and `decoder_inputs_embeds` including in some error messages. This PR fixes that. | {
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https://api.github.com/repos/huggingface/transformers/issues/26405 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26405/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26405/comments | https://api.github.com/repos/huggingface/transformers/issues/26405/events | https://github.com/huggingface/transformers/pull/26405 | 1,912,910,869 | PR_kwDOCUB6oc5bMwD0 | 26,405 | Update llama error message (decoder_input_ids --> input_ids) | {
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"oops somehow old commits got pulled in, closing and will fix"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | Change:
```python
if input_ids is not None and inputs_embeds is not None:
raise ValueError("You cannot specify both decoder_input_ids and decoder_inputs_embeds at the same time")
```
to
```python
if input_ids is not None and inputs_embeds is not None:
raise ValueError("You cann... | {
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https://api.github.com/repos/huggingface/transformers/issues/26403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26403/comments | https://api.github.com/repos/huggingface/transformers/issues/26403/events | https://github.com/huggingface/transformers/issues/26403 | 1,912,844,162 | I_kwDOCUB6oc5yA6-C | 26,403 | Switching Mask2Former Backbones | {
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"cc @rafaelpadilla would love it if you could take a look!",
"Hi @alen-smajic ,\r\n\r\nThank you for reporting this issue. :) \r\n\r\nThe code you showed is not working because of `out_indices=(-2, -1)`. Try to replace it by:\r\n```python\r\nbackbone_config = FocalNetConfig(out_indices=(1,2,3,4))\r\n```\r\n\r\nFo... | 1,695 | 1,697 | 1,695 | NONE | null | ### System Info
- `transformers` version: 4.33.1
- Platform: Linux-4.18.0-477.15.1.el8_8.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (... | {
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https://api.github.com/repos/huggingface/transformers/issues/26402 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26402/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26402/comments | https://api.github.com/repos/huggingface/transformers/issues/26402/events | https://github.com/huggingface/transformers/pull/26402 | 1,912,824,738 | PR_kwDOCUB6oc5bMc8h | 26,402 | Change past_key_values shape of gpt_bigcode | {
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"WDYT @younesbelkada @ArthurZucker ?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26402). All of your documentation changes will be reflected on that endpoint.",
"Sure. I see [bloom](https://github.com/huggingface/transformers/blob/main/src/transformers/models/blo... | 1,695 | 1,700 | 1,700 | CONTRIBUTOR | null | Hi @ArthurZucker @younesbelkada
I found that the shape of `past_key_values` in `gpt_bigcode` is different from others, which will cause inconvenience or unexpected errors in `Optimum` and `Optimum-intel`. Therefore, I added some reshaping operations to make the shape insistent with other models. I have tested it on... | {
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https://api.github.com/repos/huggingface/transformers/issues/26401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26401/comments | https://api.github.com/repos/huggingface/transformers/issues/26401/events | https://github.com/huggingface/transformers/issues/26401 | 1,912,795,336 | I_kwDOCUB6oc5yAvDI | 26,401 | 🚨 [Bug] Text-to-Audio pipeline is broken for Speech T5 TTS | {
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"cc: @Narsil for vis.",
"@ylacombe Maybe ?",
"Hey @Narsil and @Vaibhavs10,\r\nAt the moment, you have to pass the speaker embeddings as a forward argument:\r\n\r\n```python\r\nspeaker_embeddings = torch.tensor(embeddings_dataset[7306][\"xvector\"]).unsqueeze(0)\r\nforward_params = {\r\n \"speaker_embeddings\... | 1,695 | 1,697 | 1,697 | MEMBER | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.2
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- Tensorfl... | {
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https://api.github.com/repos/huggingface/transformers/issues/26400 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26400/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26400/comments | https://api.github.com/repos/huggingface/transformers/issues/26400/events | https://github.com/huggingface/transformers/pull/26400 | 1,912,714,898 | PR_kwDOCUB6oc5bMFIo | 26,400 | remove the assumption: source and target vocab should be shared for Marian model | {
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"cc @ArthurZucker I believe you wanted to dive into this in the days/weeks to come",
"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 [contributi... | 1,695 | 1,703 | 1,703 | NONE | null | # Motivation
I faced below errors when run https://github.com/huggingface/transformers/blob/b880508440f43f80e35a78ccd2a32f3bde91cb23/src/transformers/models/marian/convert_marian_to_pytorch.py
RuntimeError: Error(s) in loading state_dict for MarianMTModel:
**size mismatch** for final_logits_bias: copying a param wit... | {
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https://api.github.com/repos/huggingface/transformers/issues/26399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26399/comments | https://api.github.com/repos/huggingface/transformers/issues/26399/events | https://github.com/huggingface/transformers/pull/26399 | 1,912,691,516 | PR_kwDOCUB6oc5bMAId | 26,399 | Replaced with logger.warning | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/26398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26398/comments | https://api.github.com/repos/huggingface/transformers/issues/26398/events | https://github.com/huggingface/transformers/issues/26398 | 1,912,418,416 | I_kwDOCUB6oc5x_TBw | 26,398 | `resize_token_embeddings` sets `vocab_size` to 0 in Deepspeed mode. | {
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"Same issue here with same package versions except deepspeed==0.10.3. Downgrading transformers to 4.30.2 temporarily resolved the issue. ",
"Indeed, it seems there is an issue here! Would you mind opening a PR with your proposed fix?",
"Ah actually it's already being fixed here: https://github.com/huggingface/t... | 1,695 | 1,695 | 1,695 | NONE | null | ### System Info
**System Info**
* transformers==4.33.2
* accelerate==0.23.0
* deepspeed==0.9.2
I was running a customized script to train a LLaMA model via Deepspeed and encountered the following exception:
```
File "/opt/conda/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
... | {
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https://api.github.com/repos/huggingface/transformers/issues/26397 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26397/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26397/comments | https://api.github.com/repos/huggingface/transformers/issues/26397/events | https://github.com/huggingface/transformers/issues/26397 | 1,912,299,853 | I_kwDOCUB6oc5x-2FN | 26,397 | Allow phi 1.5 to accept attention mask as a parameter | {
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"Hey @bnicholl, phi 1.5 is being added to the library here: https://github.com/huggingface/transformers/pull/26170\r\n\r\nThis will support the attention mask as a parameter.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed ... | 1,695 | 1,698 | 1,698 | NONE | null | ### Feature request
As of right not, phi-1.5 does not accept attention masking for training or running inferences in batches. Could we get phi-1.5 to accept attention mask as a parameter
### Motivation
I would like attention masking for fine tuning
### Your contribution
If this isn't planned on getting taken care ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26396 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26396/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26396/comments | https://api.github.com/repos/huggingface/transformers/issues/26396/events | https://github.com/huggingface/transformers/pull/26396 | 1,912,289,350 | PR_kwDOCUB6oc5bKqpa | 26,396 | Fix padding for IDEFICS | {
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"sure!",
"@ArthurZucker CI looks green, PR's ready for another review.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26396). All of your documentation changes will be reflected on that endpoint.",
"thank you @shauray8 !"
] | 1,695 | 1,696 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Fixes padding issues -
```python
from transformers import AutoProcessor
processor = AutoProcessor.from_pretrained("HuggingFaceM4/idefics-9b", padding_side="right")
sents = [["hello world"], [" this is a longer sentence to testing padding"]]
# This is the correct behaviour:
a = pr... | {
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] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | testing https://github.com/huggingface/doc-builder/pull/408
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Deleted duplicate sentence
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] | 1,695 | 1,695 | 1,695 | MEMBER | null | # What does this PR do?
This PR fixes a bug when trying to do inference with Idefics with DeepSpeed Zero-3.
The model was loaded correctly, but the shapes were found to be incorrect using DS at a step in `IdeficsDecoupledLinear` during inference.
I checked on different prompts that the output is the same without... | {
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"Hi @shauray8 :)\r\n\r\nPlease, let me know when it is ready for review ",
"I'll ping you before the EOD.\r\n\r\n*Update - got caught up with something, Writing tests!*",
"@shauray8 Any update on adding this model?",
"@amyeroberts it's almost done, I'm stuck with tests rn and I might be able to push it for 1s... | 1,695 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Adds ProPainter to transformers.
Author - https://github.com/sczhou/ProPainter
hub - https://huggingface.co/shauray/ProPainter-hf/
Fixes https://github.com/huggingface/transformers/issues/26360
*issue contains all the other relevant links*
## Before submitting
- [X] Did you read the... | {
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Hi,
I am not sure if this is even feasible/appropriate request in Huggingface. Recently, there was an ICLR paper titled "Git Rebasin" (https://arxiv.org/abs/2209.04836) which demonstrates a method to effectively merge models.
But the authors have implemented it only for plain NN and Resnet k... | {
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https://api.github.com/repos/huggingface/transformers/issues/26387 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26387/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26387/comments | https://api.github.com/repos/huggingface/transformers/issues/26387/events | https://github.com/huggingface/transformers/pull/26387 | 1,911,790,924 | PR_kwDOCUB6oc5bI87b | 26,387 | Fix setting vocab_size when resizing embeddings and using deepspeed zero 3 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26387). All of your documentation changes will be reflected on that endpoint.",
"Hello @ppetrushkov , this merged PR https://github.com/huggingface/transformers/pull/26259 should have fixed this issue. Could you retry from ... | 1,695 | 1,695 | 1,695 | NONE | null | # What does this PR do?
Currently there seems to be an issue when training with deepspeed zero stage 3 and resizing the token embeddings. Here is an example I used:
```python
from transformers import (
AutoConfig,
AutoTokenizer,
AutoModelForCausalLM,
HfArgumentParser,
TrainingArguments,
... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26386). All of your documentation changes will be reflected on that endpoint."
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"> This seems okay to me generally, would like another review as it's touching critical code.\r\n> \r\n> Not too sure how we could do it, but it would also be nice to have tests for this, as it's the kind of thing that will continue t... | 1,695 | 1,697 | 1,697 | COLLABORATOR | null | # What does this PR do?
This is a continuation of #25715 where @sgugger fix `test_cached_model_has_minimum_calls_to_head` but not `test_cached_pipeline_has_minimum_calls_to_head` (as I didn't mention this to him).
This PR mostly copies the logic from #25715.
The current failing test and the error are
```bas... | {
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https://api.github.com/repos/huggingface/transformers/issues/26384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26384/comments | https://api.github.com/repos/huggingface/transformers/issues/26384/events | https://github.com/huggingface/transformers/issues/26384 | 1,911,481,332 | I_kwDOCUB6oc5x7uP0 | 26,384 | 4.33.2 breaks deepspeed_custom_scheduler fixed in 4.33.1 | {
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"Weird... The github 4.33.1 tag fixed the bug as I mentioned above, but the pypi release 4.33.1 src code still lies the bug, which is inconsistent.",
"Hello @wizyoung, this should be fixed in https://github.com/huggingface/transformers/releases/tag/v4.33.3"
] | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-4.14.0_1-0-0-44-x86_64-with-glibc2.27
- Python version: 3.9.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorf... | {
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https://api.github.com/repos/huggingface/transformers/issues/26383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26383/comments | https://api.github.com/repos/huggingface/transformers/issues/26383/events | https://github.com/huggingface/transformers/issues/26383 | 1,911,414,435 | I_kwDOCUB6oc5x7d6j | 26,383 | RuntimeError: result type Float can't be cast to the desired output type Byte | {
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"cc @younesbelkada as well",
"Hi @LuciferianInk \r\nThanks for the issue, I recently made https://github.com/huggingface/transformers/pull/26134 that should fix all issues related with RWKV and 4bit, please install transformers from source `pip install -U git+https://github.com/huggingface/transformers.git` and l... | 1,695 | 1,697 | 1,697 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-6.5.3-arch1-1-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.2
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflo... | {
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https://api.github.com/repos/huggingface/transformers/issues/26382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26382/comments | https://api.github.com/repos/huggingface/transformers/issues/26382/events | https://github.com/huggingface/transformers/issues/26382 | 1,911,318,223 | I_kwDOCUB6oc5x7GbP | 26,382 | `Helsinki-NLP/opus-mt-it-en` isn't on HuggingFace Hub | {
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I have found lots of Opus translation model on HuggingFace Hub but couldn't find Portuguese to English model, however the model already exists in Helsinki repo https://github.com/Helsinki-NLP/OPUS-MT-train/tree/master/models/pt-en#opus-2019-12-05zip
is that something can be added quickly?
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/26381 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26381/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26381/comments | https://api.github.com/repos/huggingface/transformers/issues/26381/events | https://github.com/huggingface/transformers/issues/26381 | 1,911,225,961 | I_kwDOCUB6oc5x6v5p | 26,381 | Remove usage of warnings.warn | {
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"Hi @osanseviero I want to work on this issue. Can you please this issue to me so that I can start working on it?\r\n",
"If I understand correctly, we should use `logger.warning` where `logger = logging.get_logger(__name__)` ? ",
"I can work on this!!\r\n",
"hey @osanseviero, I have started solving the issue.... | 1,695 | 1,697 | 1,697 | MEMBER | null | Usage of `warnings.warn` has been deprecated in favor of `logging.warning`, which is managed by the `transformers.logging` utility.
* https://github.com/search?q=repo%3Ahuggingface%2Ftransformers+%22warnings.warn%22&type=code
* https://github.com/search?q=repo%3Ahuggingface%2Ftransformers%20UserWarning&type=code
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https://api.github.com/repos/huggingface/transformers/issues/26380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26380/comments | https://api.github.com/repos/huggingface/transformers/issues/26380/events | https://github.com/huggingface/transformers/issues/26380 | 1,911,208,923 | I_kwDOCUB6oc5x6rvb | 26,380 | Padding changes the output of forward pass in Bloom models | {
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"The problem is not present in BERT model ('TurkuNLP/bert-base-finnish-cased-v1').",
"I tried to track down the problem and it seems that there is a major change from transformers 4.21.3 to 4.22.0.\r\nEven with these older versions the logits seem to differ a lot when using batch of one. So I modified the script ... | 1,695 | 1,700 | 1,700 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-4.14.322-246.539.amzn2.x86_64-x86_64-with-glibc2.26
- Python version: 3.9.5
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.13.1+cu117 (Tru... | {
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https://api.github.com/repos/huggingface/transformers/issues/26379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26379/comments | https://api.github.com/repos/huggingface/transformers/issues/26379/events | https://github.com/huggingface/transformers/pull/26379 | 1,910,980,666 | PR_kwDOCUB6oc5bGLfk | 26,379 | Add OWLv2 | {
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"I would go for simply adding `config.add_objectness_head` in the existing `OwlViT` model file(s).",
"I think current implementation is better than creating another class for OWLv2. One suggestion is to use more descriptive flag for OWLv2 something like `owlvit_v2=True` which enable the objectness head",
"Sorry... | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the OWLv2 checkpoints, and investigates why results weren't the same as the original Colab for v1 as pointed out in #21206. After investigation, it turns out that 1) the model returns the exact same logits as the original implementation on the same input data, but 2) the image pr... | {
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https://api.github.com/repos/huggingface/transformers/issues/26404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26404/comments | https://api.github.com/repos/huggingface/transformers/issues/26404/events | https://github.com/huggingface/transformers/issues/26404 | 1,912,889,095 | I_kwDOCUB6oc5yBF8H | 26,404 | cannot import name 'is_essentia_available' from 'transformers.utils' | {
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"cc @pacman100 ",
"solved ✅",
"Transfering to `transformers` as it's a `transformers` issue underneath",
"> solved ✅\r\n\r\nHi,I got the same error when I import diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion. \r\n`RuntimeError: Failed to import diffusers.pipelines.stable_diffusion.pipeline_st... | 1,695 | 1,701 | 1,695 | MEMBER | null | ### System Info
```Shell
- `Accelerate` version: 0.23.0
- Platform: macOS-12.5-arm64-arm-64bit
- Python version: 3.8.12
- Numpy version: 1.21.4
- PyTorch version (GPU?): 2.0.0 (False)
- PyTorch XPU available: False
- PyTorch NPU available: False
- System RAM: 32.00 GB
- `Accelerate` default config:
No... | {
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https://api.github.com/repos/huggingface/transformers/issues/26378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26378/comments | https://api.github.com/repos/huggingface/transformers/issues/26378/events | https://github.com/huggingface/transformers/issues/26378 | 1,910,908,584 | I_kwDOCUB6oc5x5iao | 26,378 | Bug in Trainer for PeftModel multi-gpu training by accelerate | {
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"cc @pacman100 :)",
"Hey! Would recommend you to update to the latest version of both packages and see if this is fixed! ",
"Hello, \r\n\r\nI think @younesbelkada should have a better idea about this.",
"Thanks! Will look into it",
"Hi @Orion-Zheng \r\nThanks for the issue, I was not able to reproduce the i... | 1,695 | 1,704 | 1,704 | NONE | null | ### System Info
When using the accelerate library to fine-tune LLaMA2 by QLoRA on multiple GPUs, I met an error when I set load_best_model_at_end=True in the TrainingArguments.
<img width="1115" alt="image" src="https://github.com/huggingface/transformers/assets/62330719/a2e7a49b-3627-4249-8fb2-bc8a61f0ede1">
It ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26377 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26377/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26377/comments | https://api.github.com/repos/huggingface/transformers/issues/26377/events | https://github.com/huggingface/transformers/issues/26377 | 1,910,667,809 | I_kwDOCUB6oc5x4noh | 26,377 | RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn | {
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"Hey @phamkhactu, we'd love to help but there is a significant amount of code here.\r\n\r\nWould you mind sharing a reproducible code example so that we may investigate the issue? Thanks!",
"Hi @LysandreJik \r\n\r\nI will share with you about my task. I want to fine-tune llama2 with peft. when I load pretrain mod... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
transformers: 4.32.0
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproduction... | {
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https://api.github.com/repos/huggingface/transformers/issues/26376 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26376/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26376/comments | https://api.github.com/repos/huggingface/transformers/issues/26376/events | https://github.com/huggingface/transformers/issues/26376 | 1,910,646,925 | I_kwDOCUB6oc5x4iiN | 26,376 | Early stopping Abnormality | {
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"Maybe cc @pacman100 regarding the `Trainer`",
"Dear @pacman100,\r\n\r\n Thanks in advance, I'm looking forward for your reply.\r\n \r\n Best,Du"
] | 1,695 | 1,708 | null | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.32.1
- Platform: Linux-4.18.0-372.9.1.el8_lustre.x86_64-x86_64-with-glibc2.17
- Python version: 3.11.5
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.2
- Accelerate v... | {
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https://api.github.com/repos/huggingface/transformers/issues/26375 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26375/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26375/comments | https://api.github.com/repos/huggingface/transformers/issues/26375/events | https://github.com/huggingface/transformers/issues/26375 | 1,910,597,551 | I_kwDOCUB6oc5x4Wev | 26,375 | [LLM Tokenizer] Tokenizer loads too slowly | {
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"Hey @Sakurakdx, by \"loading speed\", are you talking about the model or the tokenizer? Would you have a reproducible code snippet I could try to see what you mean?",
"Sorry, my statement may not be accurate. The following is a clarification: When I use `AutoTokenizer` to load the tokenzier of LLAMA2, I need to ... | 1,695 | 1,695 | 1,695 | NONE | null | When I use LLM such as LLAMA's tokenzier, its loading speed is very slow, even taking half an hour. I would like to ask how long is the normal loading time and is there any way to speed up the loading? | {
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https://api.github.com/repos/huggingface/transformers/issues/26374 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26374/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26374/comments | https://api.github.com/repos/huggingface/transformers/issues/26374/events | https://github.com/huggingface/transformers/pull/26374 | 1,910,584,899 | PR_kwDOCUB6oc5bE15T | 26,374 | Control first downsample stride in ResNet | {
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"Hi @ArthurZucker @rafaelpadilla .\r\n\r\nThanks for your advice. The resnet backbone which downsamples in bottleneck layer can be found in [resnet](https://huggingface.co/Jiqing/resnet-backbone-downsample_in_bottleneck).",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr... | 1,695 | 1,700 | 1,696 | CONTRIBUTOR | null | Hi @ArthurZucker
Relate to [25856](https://github.com/huggingface/transformers/pull/25856). I added a new parameter in config to control the stride for the first bottleneck layer in stages. Would you please help me review it? Thx! | {
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https://api.github.com/repos/huggingface/transformers/issues/26373 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26373/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26373/comments | https://api.github.com/repos/huggingface/transformers/issues/26373/events | https://github.com/huggingface/transformers/issues/26373 | 1,910,469,237 | I_kwDOCUB6oc5x33J1 | 26,373 | Use github.com/apssouza22/chatflow as a conversational layer. It would enable actual API requests to be carried out from natural language inputs. | {
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"Hey @GiovanniSmokes, we're happy to provide support in case you would like to integrate `transformers` within `chatflow`. \r\n\r\nWe have a lot of requests so we prefer to centralize everything in our GitHub issues, feel free to open an issue in case you run into problems! Thank you :hugs: ",
"This issue has bee... | 1,695 | 1,698 | 1,698 | NONE | null | ### Feature request
Adding this conversational UI would enable people to 'talk' directly with the backend and API requests to be carried out more effectively. RAG can help with some of the problems function calling by language models face at the moment.
https://youtu.be/r3cegH2kviQ
### Motivation
I'm trying t... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | MEMBER | null | # What does this PR do?
Issue: #26369
Loading
```python
pipe = pipeline("text-to-audio", model="facebook/musicgen-small")
data = pipe("latin salsa with violins")
```
at the moment, throws a large error
## Who can review?
@ylacombe @sanchit-gandhi
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"cc @Narsil as well :)",
"Re: the issue with `max_new_tokens` - We should take care of this in the `santize_parameters` function, right?\r\n\r\n`max_new_tokens` is part of the `generate_kwargs` - It should be considered as here: https://github.com/huggingface/transformers/blob/546e7679e7f692ebeefcfc5063cec271a55b... | 1,695 | 1,698 | 1,698 | MEMBER | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.2
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorf... | {
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"Hey @pphuc25 - I believe that the `enable_gradient_checkpointing()` method is working for Flax Roberta. See code snippet below that demonstrates:\r\n```python\r\nfrom transformers import FlaxRobertaForMaskedLM\r\n\r\nmodel = FlaxRobertaForMaskedLM.from_pretrained(\"hf-internal-testing/tiny-random-roberta\", from_p... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
While reviewing the "run_mlm_flax.py" file, I encountered an issue when attempting to execute the "model.enable_gradient_checkpointing()" function. Upon further investigation, I observed that there was no "enable_gradient_checkpointing" available. As a solution, I configured FlaxRobertaForMas... | {
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"I am really sorry I found that 'abs' is already in T5Tokenizer.from_pretrained(\"t5-small\", legacy=False). I checked by running following\r\n```python\r\nfrom transformers import T5Tokenizer\r\ntokenizer = T5Tokenizer.from_pretrained(\"t5-small\", legacy=False)\r\ntokenizer.get_vocab()['abs']\r\n```\r\nwhich pri... | 1,695 | 1,695 | 1,695 | NONE | null | ### System Info
transformers : 4.33.2
torch: 2.1.0a0+29c30b1
Python: 3.10.12
OS: Ubuntu 22.04.3 LTS
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
-... | {
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"@ArthurZucker @zhangjunyi111 I forked transformers for investigating different positional embeddings in a bioinformatics study. I created the PR to highlight code changes to my colleagues. I did not intend to suggest merging my code changes into transformers. I changed the PR to a draft mode. Let me know if I ne... | 1,695 | 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.
Then, please replace this w... | {
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"@stas00 Just quick question please: could we use the same steps to finetune t5-11b or ul2 on single gpu with 32GB memory V100? Or I need 40GB memory? \r\nif yes, what is maximim input length which can I use?\r\nToday I have tried to finetune t5-11b using this yaml config\r\n\r\n`\r\ncompute_environment: LOCAL_MAC... | 1,695 | 1,695 | 1,695 | NONE | null | null | {
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"cc @younesbelkada ",
"Hi @happylittlecat2333, thanks for the very thorough analysis here!\r\n\r\nI've opened a PR (#27153) to convert the weights from the new clap checkpoints. I believe that you missed some parameters when you converted the weights!\r\n\r\nYou can find the converted weights ([here](https://hugg... | 1,695 | 1,701 | 1,701 | NONE | null | ### System Info
### Question Description
I want to use CLAP in huggingface model style but only find ["laion/clap-htsat-unfused"](https://huggingface.co/laion/clap-htsat-fused) and ["laion/clap-htsat-fused"](https://huggingface.co/laion/clap-htsat-unfused) in huggingface Models. However, I wish to use the music CLA... | {
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https://api.github.com/repos/huggingface/transformers/issues/26361 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26361/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26361/comments | https://api.github.com/repos/huggingface/transformers/issues/26361/events | https://github.com/huggingface/transformers/pull/26361 | 1,910,111,426 | PR_kwDOCUB6oc5bDW6n | 26,361 | docs: change dataset name | {
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In the sample code for running a language model in the Flax framework, I believe that "unshuffled_deduplicated_no" is not a suitable example due to its size, which consists of 3.18M samples. Loading such a large dataset can be time-consuming, especially for beginners. Therefore, I suggest cha... | {
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"LGTM, I would also like to be a part this contrib... @shauray8 ",
"@mahimairaja of course, let's wait for approval from a core maintainer.",
"Looks good :)\r\n\r\nWhat do you think @rafaelpadilla ?",
"Great suggestion @shauray8! \r\nThe original repo has 1.4k stars in 3 weeks. I thiink it is a great model to... | 1,695 | 1,697 | null | CONTRIBUTOR | null | ### Model description
ProPainter can be an excellent addition to Transformers given its impressive inpainting capabilities.
*Relevant Links*
Paper - https://arxiv.org/abs/2309.03897
Project Page - https://shangchenzhou.com/projects/ProPainter/
Original Code - https://github.com/sczhou/ProPainter
Weights - ht... | {
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https://api.github.com/repos/huggingface/transformers/issues/26359 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26359/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26359/comments | https://api.github.com/repos/huggingface/transformers/issues/26359/events | https://github.com/huggingface/transformers/pull/26359 | 1,909,932,186 | PR_kwDOCUB6oc5bCz5S | 26,359 | Adding a new model AugViT | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,695 | 1,701 | 1,701 | NONE | null | ### Model description
I would like to contribute AugViT Tensorflow implementation to the Transformers library. You can find the implementation in TensorFlow here https://github.com/ushareng/AugViT
I have created Model card here https://huggingface.co/tensorgirl/TFaugvit/tree/main
Kindly let me know if the abov... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,695 | 1,705 | 1,705 | NONE | null | ### System Info
Hi,
I am running Flax BRAT example model on Ubuntun 22.04 with run_bart_dlm_flax.py(commit ID: 0afa5071bd84e44301750fdc594e33db102cf374). But I found it always do Map like below before each running training model even if there are already cache* file in local disk. It causes lots of caches file will... | {
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https://api.github.com/repos/huggingface/transformers/issues/26357 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26357/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26357/comments | https://api.github.com/repos/huggingface/transformers/issues/26357/events | https://github.com/huggingface/transformers/issues/26357 | 1,909,795,083 | I_kwDOCUB6oc5x1SkL | 26,357 | DataCollatorForLanguageModeling ignores manual -100 labels for loss masking | {
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"Hey @kabachuha, this seems like a reasonable feature request! Would you like to open a PR to offer your fix?",
"Thanks for your interest! Sure, I can, it is quite short.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed pl... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
transformers version https://github.com/huggingface/transformers/commit/5936c8c57ccb2bda3b3f28856a7ef992c5c9f451
Kubuntu 22.04 LTS
NVIDIA 4090
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported... | {
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Note: Please search to see if an issue already exists for the language you are trying to translate.
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Hi!
Let's bring the documentation to all the Japanese-speaking community 🌐
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main... | {
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"@VictorSanh @ArthurZucker Not sure, but maybe this is because idefics processor forces the tokenizer to take the prompts one by one and for `padding=\"longest\"` to work it has to take all the prompts at once.\r\n\r\nhttps://github.com/huggingface/transformers/blob/main/src/transformers/models/idefics/processing_i... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.34
- Python version: 3.8.16
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensor... | {
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"@rwightman do you agree with this change?",
"Just wanted to check in if a review has been possible. ",
"It looks like an improvement on the original w/ better coverage, but there are less 'hard coded' ways of grabbing the needed dims and params from the timm model, avoiding model dependent ifs, etc",
"Can yo... | 1,695 | 1,699 | 1,699 | NONE | null | A problem with timm to Vit converter code was identified in #26219
This is caused by a rather strict index based parsing of the timm model identifier which fails for several cases. This PR does two things:
1. Fixes that issue by using a regex parser for patch and image size.
2. Fixes ViT configuration differen... | {
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"having same issue did you find the solution???",
"Hello both! Please try upgrading the `huggingface_hub` library and let us know if this fixes your issue?\r\n\r\nYou can do so with the following command:\r\n```\r\npip install -U huggingface_hub\r\n```\r\n\r\nIf not, please share the contents of your environment ... | 1,695 | 1,699 | 1,699 | NONE | null | ### System Info
Hello, thanks again for looking over this, always appreciate the help.
Was running a notebook that uses peft and lora.
@muellerzr @pacman100
Transformers version:
4.34.0.dev0
Python version:
3.9.17
```
!pip install bitsandbytes datasets accelerate loralib
!pip install git+ht... | {
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"Closing the request due to errors. Will create a new request post fixing the issue. "
] | 1,695 | 1,695 | 1,695 | NONE | null | # What does this PR do?
When running the ./downloads.sh the options available to download are ("7B,13B,70B,7B-chat,13B-chat,70B-chat"). The download.sh script creates the folder in the following format based on the model chosen ('llama-2' + model_size.lower())
Hugging face script does not support the above direct... | {
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"Hi @younesbelkada - I want to work on adding Flash Attention 2 support for GPTBigCode (Starcoder). Can I take this task? Can you please assign this task to me?\r\n",
"Will definitely take a look next week \r\nGreat to see it merged now 💪",
"I would like to work on `MPT` @younesbelkada ",
"I would like to wo... | 1,695 | 1,707 | null | CONTRIBUTOR | null | ### Feature request
Flash Attention 2 is a library that provides attention operation kernels for faster and more memory efficient inference and training: https://github.com/Dao-AILab/flash-attention
![Screenshot 2023-09-22 at 17 49 18](https://github.com/huggingface/transformers/assets/49240599/1395f962-26ca-4728... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry to hear that @andergisomon - note that running `transformers` on the latest PyPi version should bypass this error. It's only on `main` at the moment:\r\n```\r\npip uninstall transformers -y\r\npip install --upgrade transformers... | 1,695 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
The PR #23909 removed `unique_no_split_tokens` as an attribute of the Wav2Vec2 tokenizer, however it is required to set the language in the method `.set_target_lang`:
https://github.com/huggingface/transformers/blob/dcbfd93d7aeb14f8ff08a48866d2a68950d4c69a/src/transformers/models/wav2vec2/... | {
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] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
The PR #26136 added the `sampling_rate` as a **property** to the MusicGen config, such that it is compatible with the TTA pipeline. However, using a property means it is not registered when we call `config.to_dict()`, since it is not an attribute of the config.
This PR updates the TTA pipe... | {
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] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
The PR addresses #25967:
`MaskFormerSwin` and `TimmBackbone` should not be listed in the framework support table on the index.md page because these models are backbones and so not meant to be loaded and used on their own. Instead, they define architectures which can be loaded using the Au... | {
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"Hey! Thanks for opening and issue. This is pretty much a duplicate of #25420, where we deep dive into this!",
"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 ... | 1,695 | 1,700 | 1,700 | CONTRIBUTOR | null | ### System Info
transformers 4.33.1
### Who can help?
@ArthurZucker @younesbelkada @gan
### 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 ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
PR addresses #25662, and fixes the indices in the doc example | {
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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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"_The documentation is not available anymore as the PR was closed or merged._",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing gu... | 1,695 | 1,698 | 1,698 | COLLABORATOR | null | # What does this PR do?
AMD daily CI workflow file. There are something to do with the runners and report channels, but nothing is big. | {
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https://api.github.com/repos/huggingface/transformers/issues/26340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26340/comments | https://api.github.com/repos/huggingface/transformers/issues/26340/events | https://github.com/huggingface/transformers/issues/26340 | 1,908,731,962 | I_kwDOCUB6oc5xxPA6 | 26,340 | AttributeError: 'InternLMTokenizer' object has no attribute 'sp_model' | {
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"same error",
"Hey! You are probably using `main` which introduced #23909. The InternLM repo relies on `\"transformers_version\": \"4.33.1\",` as you can see from the `config.json`! Don't worry, internLM will be add to transformers super soon see #26302 ",
"Thank you. After installing 4.33.1, I get another exce... | 1,695 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.34.0.dev0
- Platform: Linux-5.10.194-1-MANJARO-x86_64-with-glibc2.38
- Python version: 3.9.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26339/comments | https://api.github.com/repos/huggingface/transformers/issues/26339/events | https://github.com/huggingface/transformers/pull/26339 | 1,908,712,752 | PR_kwDOCUB6oc5a-y6O | 26,339 | Add numpy alternative to FE using torchaudio | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @ArthurZucker and @sanchit-gandhi, thanks for the review!\r\n\r\nHowever, I'm not sure about what you meant [here](https://github.com/huggingface/transformers/pull/26339#pullrequestreview-1643752078):\r\n\r\n> Looks good to me, a... | 1,695 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Following on from #26182, which ported `torchaudio.compliance.kaldi.fbank` to `numpy` in `audio_utils`, this PR aims to enable the use of numpy porting in previous Feature Extractors (AST and SpeechToText) that used `torchaudio`. It was discussed [here](https://github.com/huggingface/transfo... | {
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https://api.github.com/repos/huggingface/transformers/issues/26338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26338/comments | https://api.github.com/repos/huggingface/transformers/issues/26338/events | https://github.com/huggingface/transformers/issues/26338 | 1,908,606,413 | I_kwDOCUB6oc5xwwXN | 26,338 | RuntimeError: Error(s) in loading state_dict for the converted MarianMTModel due to the source vocab not different with target vocab | {
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"Hey! I'll have a look 😉 ",
"> Hey! I'll have a look 😉\r\n\r\nHi, Arthur, I create a PR to fix the issue. Could you please help me review it? \r\n",
"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 t... | 1,695 | 1,707 | 1,707 | NONE | null | ### System Info
WARNING:tensorflow:From d:\git\transformers\src\transformers\commands\env.py:100: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.list_physical_devices('GPU')` instead.
2023-09-22 17:41:23.... | {
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https://api.github.com/repos/huggingface/transformers/issues/26337 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26337/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26337/comments | https://api.github.com/repos/huggingface/transformers/issues/26337/events | https://github.com/huggingface/transformers/issues/26337 | 1,908,381,606 | I_kwDOCUB6oc5xv5em | 26,337 | transformer bark error | {
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"Hey! According to the contribution guidelines we need a full reproducer to be able to help you! ",
"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 ... | 1,695 | 1,698 | 1,698 | NONE | null | ### System Info
transformer bark error
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproducti... | {
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https://api.github.com/repos/huggingface/transformers/issues/26336 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26336/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26336/comments | https://api.github.com/repos/huggingface/transformers/issues/26336/events | https://github.com/huggingface/transformers/issues/26336 | 1,908,320,921 | I_kwDOCUB6oc5xvqqZ | 26,336 | TabR: Retrieval-Augmented Tabular Deep Learning | {
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"name": "New model",
"color": "fbca04",
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] | closed | false | null | [] | [] | 1,695 | 1,707 | 1,707 | NONE | null | ### Model description
TabR is a retrieval-augmented transformer model specifically designed for tabular data tasks.
I would like to add this model, but I'm not sure if it would fit in Transformers or if it should be a separate library.
### Open source status
- [X] The model implementation is available
- [ ] The... | {
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https://api.github.com/repos/huggingface/transformers/issues/26335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26335/comments | https://api.github.com/repos/huggingface/transformers/issues/26335/events | https://github.com/huggingface/transformers/issues/26335 | 1,908,237,477 | I_kwDOCUB6oc5xvWSl | 26,335 | Slow tokenizer decode | {
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"Hey! That is indeed a long decoding time! I believe that #26299 fixes this! ",
"Running on a local MacBook with `transformers` on main now that https://github.com/huggingface/transformers/pull/26299 is merged:\r\n```\r\nTime taken for encoding: 0.6956140995025635 seconds\r\nTime taken for decoding: 0.01034617424... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | ### System Info
transformers 4.34.0.dev0. Running this on tpu v4-8. Might happen on other plattforms as well.
### Who can help?
@ArthurZucker
### Reproduction
Decoding is extremely slow using Transformers 4.34.0.dev0.
A small script to reproduce:
```
import argparse, time
from transformers import A... | {
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https://api.github.com/repos/huggingface/transformers/issues/26334 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26334/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26334/comments | https://api.github.com/repos/huggingface/transformers/issues/26334/events | https://github.com/huggingface/transformers/issues/26334 | 1,908,007,649 | I_kwDOCUB6oc5xueLh | 26,334 | [peft] model will have no weight with `require_grads=True` if gradient checkpointing is enabled after PeftModel is created | {
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"should be fixed by https://github.com/huggingface/transformers/pull/25846/ already"
] | 1,695 | 1,697 | 1,697 | CONTRIBUTOR | null | ### System Info
peft==0.5.0
transformers==4.33.2
torch==2.0.1
### Who can help?
trainer: @muellerzr and @pacman100
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26333 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26333/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26333/comments | https://api.github.com/repos/huggingface/transformers/issues/26333/events | https://github.com/huggingface/transformers/pull/26333 | 1,907,958,230 | PR_kwDOCUB6oc5a8Qta | 26,333 | Simplify getting the number of embedding tokens. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26333). All of your documentation changes will be reflected on that endpoint.",
"@pacman100 \r\nhello, please have a look at this PR.\r\nIt's been a while since I created this PR.",
"From #26112, I understood that `weight... | 1,695 | 1,700 | 1,700 | CONTRIBUTOR | null | Simplifies the way to get the number of embedding tokens.
Following additional discussions on PR #26024
## Who can review?
@ArthurZucker
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https://api.github.com/repos/huggingface/transformers/issues/26332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26332/comments | https://api.github.com/repos/huggingface/transformers/issues/26332/events | https://github.com/huggingface/transformers/issues/26332 | 1,907,778,994 | I_kwDOCUB6oc5xtmWy | 26,332 | Beam Search Fails for Llama 70b | {
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"I also tried installing from github and received the same error. See the update environment below (same script/error)\r\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\r\n\r\n- `transformers` version: 4.34.0.dev0\r\n- Platform: Linux-5.15.0-1041-aws-x86_64-with-glibc2.35\r\n- ... | 1,695 | 1,697 | 1,697 | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: Linux-5.15.0-1041-aws-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.2
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflo... | {
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https://api.github.com/repos/huggingface/transformers/issues/26331 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26331/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26331/comments | https://api.github.com/repos/huggingface/transformers/issues/26331/events | https://github.com/huggingface/transformers/pull/26331 | 1,907,749,984 | PR_kwDOCUB6oc5a7ktl | 26,331 | add option to use peft for training | {
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"Hey! I'm afraid we can't do this! As the doc for our exemple folder mentions:\r\n\r\n> While we strive to present as many use cases as possible, the scripts in this folder are just examples. It is expected that they won’t work out-of-the box on your specific problem and that you will be required to change a few li... | 1,695 | 1,695 | 1,695 | CONTRIBUTOR | null | This PR adds an option to use peft for finetuning text-classification task. It is required to run meta-llama/Llama-2-7b-hf which we would like to add to our internal benchmarking pipelines. Also adds an explicit padding token which resolves padding issues. | {
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