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https://api.github.com/repos/huggingface/transformers/issues/39536 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39536/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39536/comments | https://api.github.com/repos/huggingface/transformers/issues/39536/events | https://github.com/huggingface/transformers/pull/39536 | 3,246,415,721 | PR_kwDOCUB6oc6fvN-w | 39,536 | ๐ [i18n-KO] Translated `how_to_hack_models.md` to Korean | {
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# What does this PR do?
Translated the `how_to_hack_models.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/39551 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39551/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39551/comments | https://api.github.com/repos/huggingface/transformers/issues/39551/events | https://github.com/huggingface/transformers/issues/39551 | 3,248,232,979 | I_kwDOCUB6oc7BnBoT | 39,551 | InformerForPrediction [I would like to seek your opinions, everyone, How can I set the dynamic real features for prediction] | {
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> future_time_features (torch.FloatTensor of shape (batch_size, prediction_length, num_features)) โ Required time features for the prediction window, which the model internally will add to future_values. These could be things like โmonth of yearโ, โ... | {
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https://api.github.com/repos/huggingface/transformers/issues/39535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39535/comments | https://api.github.com/repos/huggingface/transformers/issues/39535/events | https://github.com/huggingface/transformers/pull/39535 | 3,246,154,317 | PR_kwDOCUB6oc6fuZ-B | 39,535 | ๐ [i18n-KO] Translated `cache_explanation.md` to Korean | {
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"merged_at... | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `cache_explanation.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค -->
# What does this PR do?
Translated the `cache_explanation.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
... | {
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"merged_at... | Fixes https://github.com/huggingface/transformers/issues/22178
This a rebase based on the original PR: https://github.com/huggingface/transformers/pull/22289
Potentially Missing:
- Using Scaled Dot Product Attention (SDPA)
- BeitImageProcessorFast Support
- Beit3Backbone | null | {
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transformers: 4.53.0
os: wsl2
python: 3.12.4
### Who can help?
Hello @amyeroberts @qubvel, I was trying to set up FastVLM inference with SGLang and it prompted me that llava_qwen2 is not supported by transformers. Log is attached below:
```
Traceback (most recent call last):
File "/root/.pyenv/ver... | {
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# What does this PR do?
Translated the `tokenizer.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 fo... | {
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"merged_at... | # What does this PR do?
Updates `Mistral3` model card as per #36979
* updated mistral3 model card
* applying suggestions from code review
* made all changes to mistral3.md
* adding space between paragraphs in docs/source/en/model_doc/mistral3.md
* removing duplicate in mistral3.md
* opens PR in corre... | {
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https://api.github.com/repos/huggingface/transformers/issues/39530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39530/comments | https://api.github.com/repos/huggingface/transformers/issues/39530/events | https://github.com/huggingface/transformers/issues/39530 | 3,245,983,352 | I_kwDOCUB6oc7BecZ4 | 39,530 | Typo in `apply_transcrition_request` method name | {
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should most likely be `apply_transcription_request` :)
cc @eustlb
I would open a PR, but this will also require some updates to the various model cards (which use this ... | {
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"merged_at... | Adds TVP from https://github.com/huggingface/transformers/issues/36978
cc: @yonigozlan
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when I started training Laura in google colab, I got this error. Please help me if you can๐ซ๐ซ
Checking dataset...
๐MyDrive/Loras/Kamixxx_style_lora/dataset
๐ Found 11 images with 10 repeats, equaling 110 steps.
๐ Divide 110 steps by 2 batch size to get 55.0 steps per epoch.
๐ฎ There will be 10 epoc... | {
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- `transformers` version: 4.53.2
- Platform: Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.33.4
- Safetensors version: 0.5.3
- Accelerate version: 1.4.0
- Accelerate config: not found
- DeepSpeed version: 0.17.2
- PyTorch version (ac... | {
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https://api.github.com/repos/huggingface/transformers/issues/39524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39524/comments | https://api.github.com/repos/huggingface/transformers/issues/39524/events | https://github.com/huggingface/transformers/pull/39524 | 3,245,363,147 | PR_kwDOCUB6oc6fr7Sb | 39,524 | ๐ [i18n-KO] Translated albert.md to Korean | {
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# What does this PR do?
Translated the `albert.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 m... | {
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https://api.github.com/repos/huggingface/transformers/issues/39520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39520/comments | https://api.github.com/repos/huggingface/transformers/issues/39520/events | https://github.com/huggingface/transformers/pull/39520 | 3,245,116,408 | PR_kwDOCUB6oc6frKpQ | 39,520 | ๐ [i18n-KO] Translated `pipeline_gradio.md` to Korean | {
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# What does this PR do?
Translated the `pipeline_gradio.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
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# What does this PR do?
Translated the `main_classes/processors.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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# What does this PR do?
Translated the `models.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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Translated the `compressed_tensor.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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Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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Translates ```audio_classification.md``` from English to Spanish.
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... | closed | false | null | [] | null | [] | 2025-07-18T21:44:43 | 2025-09-22T15:19:01 | 2025-09-22T15:19:00 | NONE | null | null | null | null | ### Feature request
- [ ] Add a executorch exportability test in transformers so that voxtral. See if we need to extend integration/executorch.py capability.
- [ ] Add a test in optimum-executorch for performant lowering
- [ ] Have a demo cpp app
Looking at the voxtral, it looks like fairly straightforward. In partic... | {
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Ran on trn1.2xlarge instance with Ubuntu 22
transformers version: 4.44.0
Platform: Linux/UNIX
Python version: 3.10.12
Accelerate version: 1.7.0
PyTorch version (GPU?): 2.7.0.2.8.6734+ac864f72
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified s... | {
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https://api.github.com/repos/huggingface/transformers/issues/39509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39509/comments | https://api.github.com/repos/huggingface/transformers/issues/39509/events | https://github.com/huggingface/transformers/pull/39509 | 3,244,029,542 | PR_kwDOCUB6oc6fnmvI | 39,509 | :broom: :broom: :broom: Get set decoder cleanup | {
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"merged_at... | # What does this PR do?
Refactor of boilerplate one-liners like get_decoder and set_decoder which are prevalent across the codebase while not being part of the core modeling code. They are now pulled from `PreTrainedModel` more reliably.
Continued from #39339 .
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transformers version: 4.52.1
Platform: Linux-6.8.0-60-generic-x86_64-with-glibc2.39
Python version: 3.12.3
Huggingface_hub version: 0.32.4
Safetensors version: 0.4.5
Accelerate version: 1.7.0
Accelerate config: not found
DeepSpeed version: not installed
PyTorch version (GPU?): 2.7.1+cu128 (True)
Tensor... | {
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This PR introduces a new method, tokenizer.encode_message, to the base tokenizer class. This method allows for tokenizing a single chat message at a time while correctly handling the conversational context provided by conversation_history. This is particularly useful for token-by-token streaming ... | {
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https://api.github.com/repos/huggingface/transformers/issues/39506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39506/comments | https://api.github.com/repos/huggingface/transformers/issues/39506/events | https://github.com/huggingface/transformers/pull/39506 | 3,243,751,441 | PR_kwDOCUB6oc6fmp2i | 39,506 | Make sure Moshi is exportable with static cache | {
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As per title, let's be specific about how the attribute is used. I will see if we can entirely get rid of the flag, maybe there's another way to infer which models support compile or not. At least from what I know, all MoE and non-transformer arch models don't support it | {
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Cf code comments! | {
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Fixes breaking Qwen2Audio tests: https://github.com/huggingface/transformers/actions/runs/16361063842/job/46229139255
Errors don't display in above Model CI tests, but this is what I got:
```
FAILED tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGeneration... | {
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Fixes breaking Hubert test: https://github.com/huggingface/transformers/actions/runs/16361063842/job/46229140250
cc @eustlb
Redoing the integrations test would be nice but [original implementation](https://github.com/facebookresearch/textlesslib) is archived and installation/setup does... | {
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Add support for expert parallel! | {
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(follow-up to #39496 with a more thorough fix)
With the release of `pyarrow==21.0.0`, whose most recent version is installed in `datasets` by default, `datasets<2.15.0` starts throwing exceptions.
This means we need `datasets>=2.15.0` or `pyarrow<21.0.0`. Maximum version pins may limit ... | {
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Since https://github.com/huggingface/transformers/pull/39198 the notification service works based on the downloaded artifacts instead of a pre-compiled list. This resulted in key errors in the AMD CI where some of the tests pipelines are not run and the artifacts are not produced. This PR set... | {
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transformers==4.54.0.dev0
torch==2.6.0
torchaudio==2.6.0
torchvision==0.21.0
python: 3.10.13
os: nvidia/cuda:12.6.1-cudnn-devel-ubuntu22.04
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported t... | {
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dataset: 4.0.0
pytorch: 2.7.1+cu126
system: Ubuntu 22.04.5 LTS
### 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, ...)
- [ ] My own task or ... | {
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"merged_at... | # What does this PR do?
Adds a temporary pin on the doc builder CI job (pyarrow==20.0.0) to work around a datasets exception in our doc builder.
[Failing job](https://github.com/huggingface/transformers/actions/runs/16365952006/job/46243081358?pr=38545)
```
(...)
File "/home/runner/work/transformers/transfor... | {
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Paper: https://arxiv.org/abs/2502.16982
Used in Kimi
### Motivation
Speeds up convergence
### Your contribution
Muon is just for 2D params, so it would require combination with AdamW. | null | {
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Fixes https://github.com/huggingface/transformers/issues/36560, This PR allows inclusion of in-memory video objects, as dictionary of frames and metadata, in the chat template.
**Previously:**
Chat template accepted only file-paths or urls in the chat_template. If user (a developer using t... | {
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See title :) | null | {
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https://api.github.com/repos/huggingface/transformers/issues/39492 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39492/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39492/comments | https://api.github.com/repos/huggingface/transformers/issues/39492/events | https://github.com/huggingface/transformers/issues/39492 | 3,241,319,027 | I_kwDOCUB6oc7BMppz | 39,492 | modeling_flax_gemma.FlaxGemmaModule failed with incompatible shapes when running with GemmaConfig | {
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"/python3.11/site-packages/jax/_src/numpy/ufuncs.py", line 1280, in multiply
return lax.mul(x, y) if x.dtype != bool else lax.bitwise_and(x, y)
```
from transformers.models.gemma import modeling_flax_gemma
from transformers import GemmaConfig
co... | {
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"merged_at... | Fixes #39366 by skipping weight initialization when all model parameters are non-floating-point types (e.g., int8 from W8A8 quantized models). This avoids a RuntimeError from PyTorch's `normal_()` function, which cannot handle integer dtypes.
Adds a conditional check inside `_load_pretrained_model` to skip `self.ini... | null | {
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Refactor fast image processor of glm4v to be consistent with the library standards, and use grouping by shape
cc @Cyrilvallez
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As the title says, **unbloats** (๐) a lot of the fast processing code for models needing to processed segmentation maps, trimaps, depth_maps etc. | {
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"merged_at... | torch 2.8 enforces a stricter check for the aliasing relationship for correctness reasons. Fixes https://github.com/pytorch/pytorch/issues/158375 by cloning the outputs that aliasing inputs.
cc @ydshieh
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https://api.github.com/repos/huggingface/transformers/issues/39487 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39487/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39487/comments | https://api.github.com/repos/huggingface/transformers/issues/39487/events | https://github.com/huggingface/transformers/pull/39487 | 3,240,770,961 | PR_kwDOCUB6oc6fcZ9j | 39,487 | Update CTRL model card with improved usage examples and documentation notes | {
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"merged_at... | Description:
This PR improves the ctrl model card to align with Hugging Face documentation standards and improve clarity for users. Specifically, it:
โข Updates metadata fields (e.g., license, tags, library name, model type)
โข Improves model description for better readability
โข Adds usage tips and clearer links t... | {
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"merged_at... | # What does this PR do?
This PR adds the correct output expectations for AMD GPUs to the LLaVA tests.
## 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/transf... | {
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https://api.github.com/repos/huggingface/transformers/issues/39485 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39485/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39485/comments | https://api.github.com/repos/huggingface/transformers/issues/39485/events | https://github.com/huggingface/transformers/pull/39485 | 3,240,284,373 | PR_kwDOCUB6oc6faunj | 39,485 | Add Whole Word Masking and Padding Strategy to DataCollatorForLanguageModeling | {
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"merged_at... | Sorry about the previous PR. I made a git error when trying to amend my commits.
# What does this PR do?
Main contribution is adding Whole Word Masking to DataCollatorForLanguageModeling. This is to fix the issues mentioned in #12998 where the previous implementation only returned input_ids and labels. This imple... | {
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```
root@12bb27e08b1b:/# pip show transformers
Name: transformers
Version: 4.52.3
```
trainer.py contains this:
```
if is_apex_available():
from apex import amp
```
Apex (built from source, as they recommend) does no longer come with amp.
How to reproduce?
1. install transformers
2. install ap... | {
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Supersedes https://github.com/huggingface/transformers/pull/37259
As @BenjaminBossan found, (https://github.com/huggingface/accelerate/pull/3252), the TrainingArguments will set environmental variables automatically when using Accelerate because before it wouldn't work otherwise. Nowadays ... | {
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Main contribution is adding Whole Word Masking to DataCollatorForLanguageModeling. This is to fix the issues mentioned in #12998 where the previous implementation only returned input_ids and labels. This implementation should pass through all values from the input mappings. Because I feel it'... | {
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This PR adds the correct expectations for AMD devices in the Mistral3 tests.
## 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/transform... | {
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# Run embedding model via transformers
```bash
git clone https://github.com/huggingface/transformers
git checkout add-model-arcinstitute-state
uv run sanity.py
```
sanity.py
```python
# /// script
# requires-python = ">=3.12"
# dependencies = [
# "torch",
# "t... | null | {
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The model is an encoder, used for sentence embedding. It uses a custom attention mechanism to incorporate space-time information into the embeddings. This would be very helpful especially in retrieval scenarios.
This has not been done before, and it is not available yet to be used. We aim to have... | null | {
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There are three failing tests for Bark, see [here](https://github.com/huggingface/transformers/actions/runs/16282903241/job/45976157467) for modeling ones.
---
## 1) `tests/models/bark/test_modeling_bark.py::BarkModelIntegrationTests::test_generate_end_to_end_with_args`
```bash
FAILED tes... | {
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A general clean-up to fix various pylint warnings, before it's possible to enable most pylint ruff rules. | {
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Allow load_best_model_at_end=True to work even when save_steps is not a round multiple of eval_steps, and optionally preserve the best model even when reaching save_total_limit.
This change would remove the current restriction that enforces save_steps to be a multiple of eval_steps when load_best... | null | {
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"merged_at... | # What does this PR do?
```bash
pip install transformers[torch] kernels
```
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import time
model = AutoModelForCausalLM.from_pretrained(
"meta-llama/Llama-3.2-3B-Instruct",
device_map="auto",
torch_dtype="auto",
attn_impl... | {
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Hello,
Big thanks to all the contributors on this repo!
I would like to raise an issue, that was initially encountered when running example notebooks for Donut in Transformer Tutorials (https://github.com/NielsRogge/Transformers-Tutorials) by @NielsRogge . This is issue was previously raised on that... | {
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"merged_at... | # What does this PR do?
Add `logits_to_keep` arguments to `Glm4vForConditionalGeneration` and `Qwen2_5_VLForConditionalGeneration` class.
Fixes # (issue)
The `trl` repository now assumes that the Transformers library supports the `logits_to_keep` parameter starting from v4.49.0, since the required slicing step... | {
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As per title, forgot to rename the attribute in tests | {
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As per title, the recent integration tests are failing because Idefics had an edge case. We can't assume `num_cols == num_rows` because idefics can output non-square images
See https://github.com/vllm-project/vllm/pull/20543#discussion_r2212501398 for more | {
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"merged_at... | sanitize mlflow uploaded metrics
# What does this PR do?
Sanitize mlflow supported metrics before upload.
## Before submitting
- [N] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [Y] Did you read the [contributor guideline](https://github.com/huggingface/tra... | {
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"merged_at... | # What does this PR do?
Fixes issue #39461 where quantized models fail to load with `device_map="auto"` on Linux but work on Windows.
**Root cause:** `dispatch_model` calls `model.to(device)` on bitsandbytes quantized models, which isn't supported. Platform differences in device detection/handling cause this code... | null | {
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"merged_at... | # What does this PR do?
- This PR fix the typing order change by #38797
Fixes #39462
**Importing order matters**
Before #38797, `Union[str, Dict]` was okay for type `Union[dict, str]`.
When changing from `Dict` from `dict`, `Union[str, dict]` would predominate `Union[dict, str]` if it's imported early than... | {
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https://api.github.com/repos/huggingface/transformers/issues/39466 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39466/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39466/comments | https://api.github.com/repos/huggingface/transformers/issues/39466/events | https://github.com/huggingface/transformers/pull/39466 | 3,238,432,508 | PR_kwDOCUB6oc6fUamD | 39,466 | README: Update Bert Japanese model card | {
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"merged_at... | # What does this PR do?
As mentioned in #36979 , contributing to HF model cards, specifically to Bert Japanese.
Fixes # (issue)
## 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://g... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/39465 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39465/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39465/comments | https://api.github.com/repos/huggingface/transformers/issues/39465/events | https://github.com/huggingface/transformers/pull/39465 | 3,238,410,762 | PR_kwDOCUB6oc6fUV6N | 39,465 | [gemma3] support sequence classification task | {
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As per title, we can't copy from llama or any other LLM because Gemma3 needs to obtain `text_config` params and needs to pass extra vision kwargs in `forward`. Thus the code was adapted from llama and the tests are green
Fixes https://github.com/huggingface/transformers/issues/36755 | {
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Avoids to perform weights initialization when loading a quantized model. The previous implementation was checking the `is_quantized` condition only when trying to initialize weights with deepspeed.
Fixes #39366
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you ... | null | {
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I need to convert the model into IR for further processing, but I encountered a problem.
I'm encountering several similar issues where torch.dynamo is unable to trace certain model objects and methods. Could this be due to incorrect usage on my part? What would be the recommended approach to resolve th... | {
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- `transformers` version: 4.52.4
- `transformers` version: 4.53.x
- `transformers` version: 4.54.0.dev0
---
- Platform: Linux-5.10.134-008.16.kangaroo.al8.x86_64-x86_64-with-glibc2.35
- Python version: 3.10.17
### Who can help?
@SunMarc
### Information
- [ ] The official example scripts
- [x] My ... | {
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I am using below code with exactly same VENV on Windows and Linux and Windows works but Linux fails
error
```
1:50:23 - INFO - Attempting to load CogVLM2 model with quantization: 4 on device: cuda
01:50:23 - INFO - Loading tokenizer from: /home/Ubuntu/Downloads/upscale/STAR/models/cogvlm2-video-llama3-chat
01:50:23 ... | {
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transformers 4.53.2, MacOS, python 3.12.10
### Who can help?
@elisim @kashif
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give details... | {
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Fixes # (issue)
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- [ ] This PR fixes a typo or improves the docs (you can dismiss the other ... | {
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We handle the repetition penalty for continuous batching
Fixes # (issue)
## 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/transfor... | {
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"merged_at... | # Fix quantized model initialization for int8 dtypes
This PR resolves a critical issue where loading quantized models (particularly llmcompressor W8A8 models) fails with:
RuntimeError: expected a floating-point or complex dtype, but got dtype=torch.int8
**Root Cause**: The model initialization code calls `normal... | null | {
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"merged_at... | Add VLM support for `transformers serve`.
In case you're interested in playing around with it, Open WebUI is a good tool to work with.
Launching `transformers serve` with VLM support:
```
cd <PATH_TO_TRANSFORMERS>
git checkout transformers-serve-vlm
transformers serve --enable_cors
```
To install Open W... | {
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Updates the docs for the ModernBERTDecoder class to link to the paper and to the correct model name.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.... | {
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This PR fixes an indentation bug in `SmolVLMImageProcessorFast` that causes a `KeyError` when `do_image_splitting=False`.
The issue was in line 434 where `split_images_grouped[shape] = stacked_images` was incorrectly indented outside the loop, causing only the last shape to be stored in th... | {
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This PR updates trainer tests due to a breaking change in https://github.com/huggingface/accelerate/pull/3684.
To be merged when accelerate will be released | {
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Fix a failing test reported by @vasqu
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- Make `fix-copies` revealed some strange behavior with the new modernbert docstrings -> "Args:..." is not necessary | {
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As per title, and let's merge https://github.com/huggingface/transformers/pull/39341/files first. Added tests to make sure it works. If users want to use packing with any of the attentions, it is their responsibility to prepare correct position ids, since Qwen-VL needs positions for all visio... | {
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Supersedes https://github.com/huggingface/transformers/pull/36606 as the github CI is broken | {
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"merged_at... | # What does this PR do?
Yesterday's PR to track the performed tests in CI (https://github.com/huggingface/transformers/pull/39198) resulted in a small error, this PR fixes that:
https://github.com/huggingface/transformers/actions/runs/16309221900/job/46061828202
## Before submitting
- [ ] This PR fixes a typo... | {
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"merged_at... | # What does this PR do?
Add missing numpy import to minimal example
## Before submitting
- [ X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#... | {
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"merged_at... | IPEX is going to be deprecated. As autoawq already archived, we can only change transformers to enable triton kernel on XPU. Only XPU chanegd from ipex to triton as the AWQ triton kernel does not work on CPU. | {
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transformers==4.53.0 the bug still exists in the latest github version
### 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... | {
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"merged_at... | # What does this PR do?
Translated the `perf_infer_gpu_multi.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 (๋ฒ์ญ ๋๋ฝ/์ค๋ณต ๊ฒ์ฌ)
- [x] Grammar Check ... | {
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Implement a comprehensive attention visualization toolkit specifically designed for multi-modal transformers that can:
- Visualize attention patterns between text tokens and image patches
- Show hierarchical attention across different transformer layers
- Support interactive exploration of attenti... | null | {
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As the title says :).
Cc @Cyrilvallez @stevhliu | {
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This PR in conjunction with https://github.com/huggingface/transformers/pull/39376 and https://github.com/huggingface/transformers/pull/39375 is needed to m... | {
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