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https://api.github.com/repos/huggingface/transformers/issues/39637 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39637/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39637/comments | https://api.github.com/repos/huggingface/transformers/issues/39637/events | https://github.com/huggingface/transformers/issues/39637 | 3,260,241,704 | I_kwDOCUB6oc7CU1co | 39,637 | [BUG] Run 111B+ Teacher distributed inference and 8B Student distributed training on multi-node H200 GPUs using the Transformers Trainer without encountering OOM errors? | {
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I have access to 2 to 4 nodes (16 to 32 GPUs in total), each equipped with 8x140GB H200 GPUs. My objective is to perform large-sca... | {
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Fix #39558
The bug fixe now shows:
```python
Number of returned hidden states: 17
hidden state 0 values (slice): tensor([0.0045, 0.0166, 0.0210])
hidden state 1 values (slice): tensor([-0.0010, 0.0339, 0.0018])
hidden state 2 values (slice): tensor([ 0.2473, -0.5012, 1.5765])
hid... | {
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https://api.github.com/repos/huggingface/transformers/issues/39635 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39635/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39635/comments | https://api.github.com/repos/huggingface/transformers/issues/39635/events | https://github.com/huggingface/transformers/pull/39635 | 3,260,049,918 | PR_kwDOCUB6oc6gdtr8 | 39,635 | Make pytorch examples UV-compatible | {
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"merged_at... | ... by adding the dependencies headers
I'm adding them to all the pytorch examples except the "question-answering" folder since they're not single file scripts.
I also updated release.py to update the UV dependencies accordingly:
- for dev version, require `transformers @ git+https://github.com/huggingface/trans... | {
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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://github.com/NVIDIA/Megatron-LM/blob/main/megatron/model/gpt_model.py - old
https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/legacy/model/gpt_model.py - new | null | {
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WIP, needs #39454 to be merged first.
This PR adds speech-to-text (i.e. `v1/audio/speech`) to `transformers serve`.
⚠️ So far, I've only tested it with `sesame/csm-1b`. Won't probably work with other models atm, as each model has different processing abstractions | null | {
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As per title, so no-one deleted it accidentally 😄 | {
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# What does this PR do?
Translated the `<text-to-speech>.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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https://github.com/huggingface/transformers/blob/947a37e8f5bc50bc0e9a77c0d16b038adcb056d0/src/transformers/modeling_utils.py#L6136-L6152
We need to add similar check for XPU as well.... | {
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# What does this PR do?
Translated the `<text-to-speech>.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x]... | {
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https://api.github.com/repos/huggingface/transformers/issues/39625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39625/comments | https://api.github.com/repos/huggingface/transformers/issues/39625/events | https://github.com/huggingface/transformers/pull/39625 | 3,259,021,643 | PR_kwDOCUB6oc6gaMkU | 39,625 | Fix: allow Union[str, dict, None] fields like deepspeed to be passed via CLI | {
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The original parser rejected this valid type signature, even though it is commonly used to support both JSON config ... | null | {
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"merged_at... | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `<your_file>.md` to Korean" 으로 부탁드립니다! -->
# What does this PR do?
Translated the `<text-to-speech>.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x]... | {
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```python
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("hugging-quants/Meta-Llama-3.1-8B-Instruct-BNB-NF4", device_map="auto")
```
The [tensor_device](https://github.com/huggingface/transformers/blob/v4.53.3/src/trans... | {
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https://api.github.com/repos/huggingface/transformers/issues/39622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39622/comments | https://api.github.com/repos/huggingface/transformers/issues/39622/events | https://github.com/huggingface/transformers/pull/39622 | 3,257,948,957 | PR_kwDOCUB6oc6gWl95 | 39,622 | revert behavior of _prepare_from_posids | {
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"merged_at... | # What does this PR do?
#39474 causes the grad norm to become NaN during training. We don't need to revert the whole thing, but reverting just this function seems to fix the regression.
@ArthurZucker @SunMarc
pre-#39474 loss
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"merged_at... | # What does this PR do?
Fix the incorrect model id in the tests
## 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#create-... | {
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"merged_at... | # What does this PR do?
Updates EfficientLoFTR model card for #36979
Also added a fix of model id in the tests let me know if that should be a seperate PR or not
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
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- `transformers` version: 4.53.0
- Platform: Linux-6.8.0-52-generic-x86_64-with-glibc2.35
- Python version: 3.12.11
- Huggingface_hub version: 0.31.2
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelera... | {
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I've noticed it's been a while now, but transformers still only has flash attention as the fastest attention backend for calls like these:
<img width="1307" height="780" alt="Image" src="https://github.com/user-attachments/assets/3f3d62f6-a166-4ca6-97a0-49263fd93299" />
Are there any plans to ad... | null | {
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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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- `transformers` version: 4.53.2
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.12.4
- Huggingface_hub version: 0.32.4
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
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"merged_at... | ## What does this PR do?
This pull request adds a unit test to the `text-classification` pipeline to verify that it can handle an empty string input without raising an error, and returns an empty list. This improves test coverage for an edge case.
## Motivation
Sometimes a user fills empty input into a pipeli... | {
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https://api.github.com/repos/huggingface/transformers/issues/39614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39614/comments | https://api.github.com/repos/huggingface/transformers/issues/39614/events | https://github.com/huggingface/transformers/pull/39614 | 3,257,234,054 | PR_kwDOCUB6oc6gUI3- | 39,614 | Export SmolvLM | {
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Make SmolvLM exportable to ExecuTorch.
```
tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_export_smolvlm_connector PASSED ... | {
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https://api.github.com/repos/huggingface/transformers/issues/39613 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39613/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39613/comments | https://api.github.com/repos/huggingface/transformers/issues/39613/events | https://github.com/huggingface/transformers/pull/39613 | 3,257,092,976 | PR_kwDOCUB6oc6gTp0Z | 39,613 | Move openai import | {
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Moving openai import which causes [failing test](https://app.circleci.com/pipelines/github/huggingface/transformers/139153/workflows/81ebf2c1-8e6b-4250-b673-6008589eb88a/jobs/1843853?utm_campaign=vcs-integration-link&utm_medium=referral&utm_source=github-checks-link&utm_content=summary)
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As per the title! Also fixes the image processing auto mapping the same way as we do with tokenizers for slow/fast ones -> it was not coherent
I basically rewrote everything as it was very complicated and out-dated. | {
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Hi,
I use the latest codes from the main branch (install by "pip install git+https://github.com/huggingface/transformers"). When I try to import VoxtralForConditionalGeneration using "from transformers import VoxtralForConditionalGeneration", it outputs errors as below
from transformers import Voxtral... | {
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Fix return type hint for decoder layer and annotate inv_freq | {
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### What problem does this fix?
Since the arrival of chat templates, I've gotten a lot of requests for the same two features:
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* transformers: 4.53.3
* torch 2.6.0
* flash-attn 2.7.4.post1
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or data... | {
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Currently, `ImageClassificationPipeline` expects a PIL image or a string pointing to a URL.
This makes using existing datasets (e.g. from `torchvision`) a bit more difficult in the generic case. A non-transformers model would work with torch tensors, but not necessarily with a PIL image, whereas `I... | null | {
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Values where computed on H100, here are the A10 ones for our CI runners! | {
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This PR updates the model card for Cohere2, following the template outlined in the issue.
## Before submitting
- [x] This PR improves the docs.
## Who can review?
@stevhliu
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Tokenizer has `is_fast` but ImageProcessor is not. I added simple `is_fast` property to ImageProcessor.
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https://api.github.com/repos/huggingface/transformers/issues/39600 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39600/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39600/comments | https://api.github.com/repos/huggingface/transformers/issues/39600/events | https://github.com/huggingface/transformers/pull/39600 | 3,255,714,164 | PR_kwDOCUB6oc6gO5PE | 39,600 | [video processors] decode only sampled videos -> less RAM and faster processing | {
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This PR moves the video decoding code entirely into video processors, so that we can load only necessary video frames into memory. To be consistent with video processors, I also updated image processors to accept `str` in inputs and optionally load images.
The docs for video processors are... | {
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https://api.github.com/repos/huggingface/transformers/issues/39599 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39599/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39599/comments | https://api.github.com/repos/huggingface/transformers/issues/39599/events | https://github.com/huggingface/transformers/pull/39599 | 3,255,669,720 | PR_kwDOCUB6oc6gOvaI | 39,599 | Fix: check TrainerState file exists before loading during resume | {
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When resuming training from a checkpoint, the Trainer attempts to load \`trainer_state.json\` to recover the train batch size. However, if the file does not exist, a \`FileNotFoundError\` is raised, causing resume to fail.
This patch adds a check using \`os.path.isfile\` before loading the... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/39598 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39598/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39598/comments | https://api.github.com/repos/huggingface/transformers/issues/39598/events | https://github.com/huggingface/transformers/pull/39598 | 3,255,414,519 | PR_kwDOCUB6oc6gN4RV | 39,598 | Fix typos and grammar issues in documentation and code | {
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"merged_at... | # What does this PR do?
Summary
- Fixed Cyrillic 'Р' to Latin 'P' in Portuguese language link (README.md)
- Fixed 'meanginful' to 'meaningful' in training documentation
- Fixed duplicate 'Cohere' reference in modular transformers documentation
- Fixed duplicate 'the the' in trainer and chat command comments
T... | {
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https://api.github.com/repos/huggingface/transformers/issues/39597 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39597/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39597/comments | https://api.github.com/repos/huggingface/transformers/issues/39597/events | https://github.com/huggingface/transformers/issues/39597 | 3,254,785,900 | I_kwDOCUB6oc7CABds | 39,597 | The similarity between image and text in siglip2 is very low | {
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I use the following code to test the similarity between image and text, but the similarity is only 0.37, the output is `tensor([[3.7129e-01, 4.2452e-04, 1.8075e-07]])`
code:
```
from PIL import Image
import requests
from transformers import AutoProcessor, AutoModel
import torch
model = AutoModel.fr... | {
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https://api.github.com/repos/huggingface/transformers/issues/39596 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39596/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39596/comments | https://api.github.com/repos/huggingface/transformers/issues/39596/events | https://github.com/huggingface/transformers/issues/39596 | 3,254,621,947 | I_kwDOCUB6oc7B_Zb7 | 39,596 | Does transformers support python3.13 -- disable-gil or python3.14 free threading? | {
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I got an error when trying to install transformers on these two python versions. | {
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https://api.github.com/repos/huggingface/transformers/issues/39595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39595/comments | https://api.github.com/repos/huggingface/transformers/issues/39595/events | https://github.com/huggingface/transformers/pull/39595 | 3,254,411,280 | PR_kwDOCUB6oc6gKhMz | 39,595 | [Trackio] Allow single-gpu training and monitor power | {
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<img width="1146" height="962" alt="Screenshot 2025-07-22 at 5 18 42 PM" src="https://github.com/user-attachments/assets/45fd0d90-a150-4bf4-9a26-c30b49449b1a" />
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https://api.github.com/repos/huggingface/transformers/issues/39594 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39594/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39594/comments | https://api.github.com/repos/huggingface/transformers/issues/39594/events | https://github.com/huggingface/transformers/pull/39594 | 3,254,118,648 | PR_kwDOCUB6oc6gJhpB | 39,594 | 🌐 [i18n-KO] Translated 'xclip.md' to Korean | {
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Translated the `xclip.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
- [x]... | {
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(dev) nicholas@B306177:chatbot-utils(master)$ transformers env
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.52.4
- Platform: Linux-5.15.167.4-microsoft-standard-WSL2-x86_64-with-glibc2.39
- Python version: 3.11.12
- Huggingface_hub v... | {
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https://api.github.com/repos/huggingface/transformers/issues/39592 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39592/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39592/comments | https://api.github.com/repos/huggingface/transformers/issues/39592/events | https://github.com/huggingface/transformers/pull/39592 | 3,253,751,542 | PR_kwDOCUB6oc6gIQ6B | 39,592 | Add Fast Image Processor for ImageGPT | {
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As discussed internally, this PR starts the process to make fast image processors the default in 🤗Transformers!
When instantiating a Processor or an Image Processor via `AutoProcessor.from_pretrained` or `AutoImageProcessor.from_pretrained` with a checkpoint using a `Qwen2VLImageProcessor... | {
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As per the title. DynamicCache was broken because `self.layers` needs to exist if we want to append to it -> `test_multi_gpu_data_parallel_forward` was failing
cc @manueldeprada for viz | {
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WIP, too many divergences in code/arch for models that are very similar, the idea is to have a "dummy" model that is functional, based on a recent omni model, and then derive functional blocks from it through `modular`. Pushing this as a PR to commit to it and build this up
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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.
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- `transformers` version: 4.54.0
- Platform: macOS-14.4-arm64-arm-64bit
- Python version: 3.11.12
- Huggingface_hub version: 0.33.4
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.7.1 (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/39585 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39585/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39585/comments | https://api.github.com/repos/huggingface/transformers/issues/39585/events | https://github.com/huggingface/transformers/pull/39585 | 3,253,206,234 | PR_kwDOCUB6oc6gGZmB | 39,585 | [`Ernie 4.5`] Ernie VL models | {
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"merged_at... | Continuation of #39228 for the VL models
Current inference script for testing (torch 2.6):
```python
import requests
from PIL import Image
from transformers import AutoModelForImageTextToText, AutoProcessor
use_fast = False
model_path = "/raid/anton/code/forks/transformers/src/transformers/models/ernie4_... | null | {
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As per the title. The easiest and most general approach is to use abstract classes where everything is defined, similar to a Mixin. That way we don't need to redefine the same every time, but it still appears explicitly in the modeling, and we have no conflicts with the current classes in the... | {
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As peer title, models needed tiny changes here and there | {
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As per title, I added the test a few days ago as slow, so I can fix them later for all models
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"merged_at... | About `Ernie4_5_MoEStatics`, e_score_correction_bias only affects selected_experts, but not routing_weights. | {
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"merged_at... | # What does this PR do ?
This PR fixes an issue with torchcodec in print_env.py. We forgot to deal with the case where torchcodec raises a RuntimeError error. Currently some of our training [ci](https://github.com/huggingface/transformers/actions/runs/16433389284/job/46438805785) are not running because of that. | {
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As per the title. Models with standard init scheme should not always have te redefine it. This cleans-up quite a lot of code in the modelings | {
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"merged_at... | # What does this PR do?
Translated the `tvp.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
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"merged_at... | # What does this PR do?
Translated the `pipelines.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
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Minor. Fixes a few tests failing currently on the important test action, on llama/gemma/mistral/mixtral. | {
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# What does this PR do?
Translated the `vitpose.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for ... | null | {
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This PR addresses an issue where the `AutoformerModel` raises a confusing `ValueError` when the input `past_values` sequence is too short to create the necessary lag features. The previous error message was not informative, making it difficult for users to debug their input shapes.
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https://api.github.com/repos/huggingface/transformers/issues/39572 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39572/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39572/comments | https://api.github.com/repos/huggingface/transformers/issues/39572/events | https://github.com/huggingface/transformers/pull/39572 | 3,251,372,906 | PR_kwDOCUB6oc6gAGBj | 39,572 | fix(voxtral): correct typo in apply_transcription_request | {
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"merged_at... | # What does this PR do?
Fixes a typo in the method name `apply_transcrition_request` → `apply_transcription_request` inside `src/transformers/models/voxtral/processing_voxtral.py`.
This PR addresses [issue #39530](https://github.com/huggingface/transformers/issues/39530). The method was misspelled and is now corr... | {
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"merged_at... | # What does this PR do?
Translated the `auto_docstring.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검... | {
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https://api.github.com/repos/huggingface/transformers/issues/39570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39570/comments | https://api.github.com/repos/huggingface/transformers/issues/39570/events | https://github.com/huggingface/transformers/pull/39570 | 3,251,077,000 | PR_kwDOCUB6oc6f_Fk5 | 39,570 | Fix Qwen2-VL image/video processor legacy size field handling | {
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"merged_at... | # What does this PR do?
- Fixes https://github.com/vllm-project/vllm/issues/15614#issuecomment-3097032491
Some qwen2-vl based model like `ByteDance-Seed/UI-TARS-2B-SFT` has legacy `size` field in `preprocessor.json` like:
```
"size": {
"max_pixels": 2116800,
"min_pixels": 3136
}
```
Which will rai... | {
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https://api.github.com/repos/huggingface/transformers/issues/39569 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39569/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39569/comments | https://api.github.com/repos/huggingface/transformers/issues/39569/events | https://github.com/huggingface/transformers/pull/39569 | 3,251,048,958 | PR_kwDOCUB6oc6f-_XK | 39,569 | [i18n-KO] Translated `<auto_docstring>.md` to Korean | {
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"merged_at... | # What does this PR do?
Translated the `<auto_docstring>.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법... | {
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https://api.github.com/repos/huggingface/transformers/issues/39568 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39568/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39568/comments | https://api.github.com/repos/huggingface/transformers/issues/39568/events | https://github.com/huggingface/transformers/pull/39568 | 3,251,041,797 | PR_kwDOCUB6oc6f-9yi | 39,568 | Feature/standardize opt model card | {
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"merged_at... | # What does this PR do?
This PR standardizes and enhances the documentation for the OPT model card ('docs/source/en/model_doc/opt.md'). The goal is to align it with the updated model card template (as mentioned in issue-Model cards #36979) .
## Before submitting
- [x] This PR fixes a typo or improves the docs (y... | {
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https://api.github.com/repos/huggingface/transformers/issues/39567 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39567/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39567/comments | https://api.github.com/repos/huggingface/transformers/issues/39567/events | https://github.com/huggingface/transformers/issues/39567 | 3,250,573,382 | I_kwDOCUB6oc7Bv9BG | 39,567 | Clarification on Recent Changes to Loss and Gradient Accumulation | {
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I've been loosely following the recent conversations on bugs/issues such as https://github.com/huggingface/transformers/pull/34198 https://github.com/huggingface/transformers/pull/34191. As a lay user, it's not entirely clear to me what the issue is.
To hone in on specific questions, as someone who wants to use T... | {
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https://api.github.com/repos/huggingface/transformers/issues/39566 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39566/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39566/comments | https://api.github.com/repos/huggingface/transformers/issues/39566/events | https://github.com/huggingface/transformers/pull/39566 | 3,250,171,289 | PR_kwDOCUB6oc6f79ol | 39,566 | Ignore decoder_inputs_embeds when decoder_input_ids are present (fixes #39542) | {
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"merged_at... | Fixes #39542
### What does this PR do?
When using a custom seq2seq model together with PEFT/LoRA, both `decoder_input_ids` and `decoder_inputs_embeds` can end up being passed to the underlying decoder. This triggers the internal validation:
ValueError: You cannot specify both decoder_input_ids and decoder_inpu... | {
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https://api.github.com/repos/huggingface/transformers/issues/39565 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39565/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39565/comments | https://api.github.com/repos/huggingface/transformers/issues/39565/events | https://github.com/huggingface/transformers/issues/39565 | 3,250,134,716 | I_kwDOCUB6oc7BuR68 | 39,565 | Model forward execution in full eager mode? | {
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```python
model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B", device_m... | {
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"merged_at... | As the title says, simply use a try except for now until I come up with a better solution | {
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# What does this PR do?
Translated the `vision-encoder-decoder.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
-... | null | {
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related: https://github.com/huggingface/transformers/pull/38949
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cc @molbap @ArthurZucker | {
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# What does this PR do?
model checkpoint tracking and rotation in the Trainer when save_steps and eval_steps are misaligned, addressing issue #39476
## Before submitting
- [ ] Did you write any new necessary tests?
@SunMarc
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"merged_at... | # What does this PR do?
Translated the `main_classes/deepspeed.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Chec... | null | {
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Independent of system, requires latest transformers from main.
### Who can help?
As discussed internally @ArthurZucker @ydshieh @LysandreJik
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (suc... | {
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# What does this PR do?
Translated the `imageprocessor.md` file of the documentation to Korean.
I will rebase and update the `_toctree.yml` file once the update PR is merged.
Thank you in advance for your review.
Part of https://gi... | {
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Using the `bad_words_ids` on mps is slowing down a lot the text generation, this PR tries to address that.
Fixes https://github.com/huggingface/transformers/issues/39512
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the... | {
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as per title, trials to rework parts of inits and what is done at weight tying. Might be superseded by #39339
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```python
class Qwen3Attention(nn.Module):
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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.
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# What does this PR do?
Translated the `perf_train_gpu_one.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x]... | {
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As per title, I added the basic info about existing inference engines so feel free to add more examples/tips etc. This PR creates a space where we can host docs on all third-party servers and we can submit PRs in vLLM/SGLang/TGI pointing to this page | {
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Is ColQwen2ForRetrieval integrated into the transformers library, and are there plans to add [ColQwen2.5](https://github.com/illuin-tech/colpali/blob/main/colpali_engine/models/qwen2_5/colqwen2_5/modeling_colqwen2_5.py) in the future?
### Open source status
- [x] The model implementation is ava... | null | {
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As per the title. Otherwise it passes for some models where it should not, and it complains later. | {
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As per title, and we will delete `Legacy cache format` section in 2-3 releases when all legacy support is removed.
This PR:
- Adds docs on multimodal attention implementation setting
- Cross references attn implementation docs in other pages. I didn't know that docs page existed and sea... | {
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This PR corrects the return type hint in the docstring of `BarkProcessor.__call__`. The current docstring incorrectly stated that the method returns a `Tuple(BatchEncoding, BatchFeature)`, but it actually returns a `BatchEncoding` object.
## Before submitting
- [x] This PR fixes a typo or... | {
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I recently read about a new speculative decoding algorithm developed by Intel Labs and the Weizmann Institute, which reportedly improves inference speed by up to 2.8×, even when using draft and target models with different vocabularies or architectures.
References:
- [Intel Newsroom](https://newsroom.intel.com/a... | {
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Translated the `feature_extractors.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞... | null | {
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smollama
-1B parameter model
-Modified llama architecture to use NoPE
-Tokoenizer from smollm3
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"node_id":... | closed | false | null | [] | null | [] | 2025-07-21T01:06:27 | 2025-08-22T05:53:51 | 2025-08-21T13:13:16 | NONE | null | null | null | null | ### System Info
- `transformers` version: 4.53.2
- Platform: **Ubuntu 22.04** Linux 5.15.0-139-generic
- **Python 3.10.18** + ipykernel 6.29.5
- Pytorch 2.7.1+cu118
### Who can help?
@ArthurZucker
@SunMarc
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An offi... | {
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cc @muellerzr @SunMarc
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This PR fixes a small typo in a method name.
cc @eustlb | {
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This model adds the correct test expectations for AMD hardware to the DETR model.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/tr... | {
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This check is inverted. When I passed in a TP device mesh that's a single ndim, I hit this assertion. The TODO implies that multi-dim isn't supported yet, as well as the error message indicates that the check should be the inverse of the current check.
@SunMarc @S1ro1
Fixes # (issue)
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] | open | false | null | [] | null | [] | 2025-07-20T15:27:30 | 2025-07-20T15:27:30 | null | CONTRIBUTOR | null | null | null | null | ### Feature request
Muon: https://github.com/KellerJordan/Muon
Flash-Muon: https://github.com/nil0x9/flash-muon
Paper: https://arxiv.org/pdf/2502.16982
### Motivation
An effective optimizer method to further accelerate LLM training. The Muon team has recently proven the importance of the muon optimizer in the LLM mo... | null | {
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