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https://api.github.com/repos/huggingface/transformers/issues/40440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40440/comments | https://api.github.com/repos/huggingface/transformers/issues/40440/events | https://github.com/huggingface/transformers/pull/40440 | 3,352,864,130 | PR_kwDOCUB6oc6lRHTu | 40,440 | Fix collated reports uploading | {
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"merged_at... | # What does this PR do?
Fixes #40292
https://github.com/huggingface/transformers/issues/40292#issuecomment-3220768012
## 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/hug... | {
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Users frequently encounter a confusing KeyError when setting label_names=['label'] in TrainingArguments, leading to errors like:
```
KeyError: "The `metric_for_best_model` training argument is set to 'eval_f1', which is not found in the evaluation metrics. The available evaluation metrics a... | null | {
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https://huggingface.co/kernels-community/vllm-flash-attn3) support an `s_aux` arg for attention sinks, but others
(https://huggingface.co/kernels-community/flash-attn) do not. If s_aux is present in the kwargs, we forward it, otherwise we don't.
The user will still get an error if they ... | {
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Sets `working-directory: /transformers` in the job and `--path .` in the script call.
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cc core maintainers @ArthurZucker @Cyrilvallez | {
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The modular was ill-formed, resulting in mostly skipping all the rules and instead importing the classes from modernbert in the modeling (which is illegal as we want 1-model -> 1-file).
This fixes it.
Note that as it was mistakenly inheriting from `ModernBertPreTrainedModel` instead of us... | {
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https://api.github.com/repos/huggingface/transformers/issues/40430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40430/comments | https://api.github.com/repos/huggingface/transformers/issues/40430/events | https://github.com/huggingface/transformers/pull/40430 | 3,351,843,722 | PR_kwDOCUB6oc6lNr3X | 40,430 | Fix non FA2 tests after FA2 installed in CI docker image | {
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"merged_at... | # What does this PR do?
Last PR regarding Flax/TF docs updates 🤗
This PR removes all traces to `transformers` TF classes/methods uses in the docs. Spiritual successor to https://github.com/huggingface/transformers/pull/40372
Methodology:
1. Find all `tf`/`tensorflow`/`xla` references in files within docs/so... | {
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https://api.github.com/repos/huggingface/transformers/issues/40428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40428/comments | https://api.github.com/repos/huggingface/transformers/issues/40428/events | https://github.com/huggingface/transformers/pull/40428 | 3,351,754,564 | PR_kwDOCUB6oc6lNYcp | 40,428 | 🚨 Remove Contrastive Search decoding strategy | {
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It has been a warning for a few releases, but now `trust_remote_code=True` is required to run contrastive search. | {
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https://api.github.com/repos/huggingface/transformers/issues/40427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40427/comments | https://api.github.com/repos/huggingface/transformers/issues/40427/events | https://github.com/huggingface/transformers/pull/40427 | 3,351,630,770 | PR_kwDOCUB6oc6lM9M4 | 40,427 | Fix Issue #40376: Training Arguments silently resets accelerator state | {
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"merged_at... | # 🚀 **Fix Issue #40376: Training Arguments Reset Bug**
## 📋 **Overview**
This PR fixes **Issue #40376** where `TrainingArguments` initialization was silently resetting the global accelerator state, causing distributed training workflows to fail unexpectedly.
## 🐛 **Problem Description**
### **Issue #40376: Train... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/40426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40426/comments | https://api.github.com/repos/huggingface/transformers/issues/40426/events | https://github.com/huggingface/transformers/pull/40426 | 3,351,624,186 | PR_kwDOCUB6oc6lM7uk | 40,426 | Continuous batching refactor | {
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"merged_at... | This PR refactors the files related to continuous batching and changes a few parts of the logic:
- the way the `max_batch_tokens` and `num_blocks` is computed;
- the static inputs of the CB are now sliced to avoid passing an arbitrary amount of padding in the forward
- the example file for CB has been reworked to al... | {
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https://api.github.com/repos/huggingface/transformers/issues/40425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40425/comments | https://api.github.com/repos/huggingface/transformers/issues/40425/events | https://github.com/huggingface/transformers/pull/40425 | 3,351,511,734 | PR_kwDOCUB6oc6lMjGT | 40,425 | Fix check_quantized_param method when param_value is a safetensors slice | {
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Fixes a case where when loading a quantized model from safetensors with tensor parallelism enabled (`device_mesh!=None`) , `check_quantized_param(...)` method was failing as it was expecting a torch.Tensor as input for `param_value` and it was supplied with a `slice`.
More details: #40361
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https://api.github.com/repos/huggingface/transformers/issues/40424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40424/comments | https://api.github.com/repos/huggingface/transformers/issues/40424/events | https://github.com/huggingface/transformers/pull/40424 | 3,351,413,320 | PR_kwDOCUB6oc6lMN3M | 40,424 | [`FA`] Remaining Cleanup | {
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The prepare in generation had more ripple effects tho:
- #39814 was now happening with the subsequent fix in #39843
- However, #39843 introduces a somewhat breaking change in the API as seen in #40399
This P... | {
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https://api.github.com/repos/huggingface/transformers/issues/40422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40422/comments | https://api.github.com/repos/huggingface/transformers/issues/40422/events | https://github.com/huggingface/transformers/issues/40422 | 3,350,968,414 | I_kwDOCUB6oc7Hu7he | 40,422 | [Feature] Add new SOTA backbone for Vision as MetaFormer series | {
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Source code: https://github.com/sail-sg/metaformer.git
Paper: https://ieeexplore.ieee.org/document/10304335
### Motivation
Latest SOTA backbone for Vision. Contibutions to computer vision community.
### Your contribution
Collaborating with submitting a PR.
---
```bibtex
@article{yuMetaFormer... | {
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https://api.github.com/repos/huggingface/transformers/issues/40421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40421/comments | https://api.github.com/repos/huggingface/transformers/issues/40421/events | https://github.com/huggingface/transformers/pull/40421 | 3,350,931,615 | PR_kwDOCUB6oc6lKmS9 | 40,421 | Set `_can_compile_fullgraph=False` for `HunYuanMoEV1` | {
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"merged_at... | # What does this PR do?
The test `test_generate_compile_model_forward_fullgraph` for this model fails, see [here](https://app.circleci.com/pipelines/github/huggingface/transformers/143418/workflows/c4499a68-ac31-40f7-91a8-65d81c7b9e4e/jobs/1896331/parallel-runs/7)
with
```bash
FAILED tests/models/hunyuan_v1_... | {
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https://api.github.com/repos/huggingface/transformers/issues/40420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40420/comments | https://api.github.com/repos/huggingface/transformers/issues/40420/events | https://github.com/huggingface/transformers/pull/40420 | 3,350,926,589 | PR_kwDOCUB6oc6lKlPr | 40,420 | Use the config for DynamicCache initialization in all modelings | {
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As per the title | {
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https://api.github.com/repos/huggingface/transformers/issues/40419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40419/comments | https://api.github.com/repos/huggingface/transformers/issues/40419/events | https://github.com/huggingface/transformers/pull/40419 | 3,350,731,755 | PR_kwDOCUB6oc6lJ78_ | 40,419 | Fix language code for Javanese from 'jw' to 'jv' based on ISO 639-1 | {
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https://api.github.com/repos/huggingface/transformers/issues/40418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40418/comments | https://api.github.com/repos/huggingface/transformers/issues/40418/events | https://github.com/huggingface/transformers/issues/40418 | 3,350,674,782 | I_kwDOCUB6oc7Htz1e | 40,418 | Javanese language code is `jv`, not `jw` if based on ISO 639-1 | {
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https://github.com/huggingface/transformers/blob/3fd456b200ba434e567412cc4517309482653f60/src/transformers/models/whisper/token... | {
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https://api.github.com/repos/huggingface/transformers/issues/40417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40417/comments | https://api.github.com/repos/huggingface/transformers/issues/40417/events | https://github.com/huggingface/transformers/pull/40417 | 3,350,390,734 | PR_kwDOCUB6oc6lIyLo | 40,417 | Update SegFormer model card | {
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https://api.github.com/repos/huggingface/transformers/issues/40416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40416/comments | https://api.github.com/repos/huggingface/transformers/issues/40416/events | https://github.com/huggingface/transformers/pull/40416 | 3,350,377,353 | PR_kwDOCUB6oc6lIvaV | 40,416 | feature: Add robust token counting with padding exclusion | {
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"merged_at... | Fixes #40401
This pull request improves the Trainer by adding a better way to count input tokens. It includes a new option to exclude padding. This is done by expanding the functionality of the current include_num_input_tokens_seen argument in TrainingArguments, ensuring full backward compatibility.
**What was th... | {
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https://api.github.com/repos/huggingface/transformers/issues/40415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40415/comments | https://api.github.com/repos/huggingface/transformers/issues/40415/events | https://github.com/huggingface/transformers/issues/40415 | 3,350,172,621 | I_kwDOCUB6oc7Hr5PN | 40,415 | Unexpected behavior when modifying Linear.forward with device_map="auto" offloading | {
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I encountered an unexpected behavior when trying to run inference with a 40B model (~83GB) using `transformers` with `device_map="auto"`.
### Setup
- `transformers` version: 4.41.0
- GPU memory: 24GB
- CPU memory: 90GB
- Model size: ~83GB
- Inference config: `batch_size... | {
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https://api.github.com/repos/huggingface/transformers/issues/40414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40414/comments | https://api.github.com/repos/huggingface/transformers/issues/40414/events | https://github.com/huggingface/transformers/pull/40414 | 3,350,093,785 | PR_kwDOCUB6oc6lHz_2 | 40,414 | 🌐 [i18n-KO] Translated smolvlm.md to Korean | {
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"merged_at... | # What does this PR do?
Translated the smolvlm.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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https://api.github.com/repos/huggingface/transformers/issues/40413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40413/comments | https://api.github.com/repos/huggingface/transformers/issues/40413/events | https://github.com/huggingface/transformers/pull/40413 | 3,349,939,328 | PR_kwDOCUB6oc6lHUwa | 40,413 | Fix TrainingArguments silently resetting existing AcceleratorState #40376 | {
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"merged_at... | - Add detection for existing AcceleratorState before resetting
- Reuse existing configuration instead of forcing reset
- Add informative log message when reusing existing state
- Fixes issue #40376 where TrainingArguments would silently reset previously configured Accelerator instances
This improves user experien... | {
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"merged_at... | # What does this PR do?
This PR implements DINOv3 support for AutoBackbone.
### ✅ What's Implemented:
- **DINOv3ViTConfig**: Complete configuration class with all DINOv3-specific parameters
- **DINOv3ViTModel**: Full model implementation with RoPE embeddings, register tokens, and SwiGLU MLP
- **DINOv3ViTBackbo... | {
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Environment: Google Colab with T4 without installing anything else (the colab ran just now)
Transformers env output:
```
- `transformers` version: 4.55.2
- Platform: Linux-6.1.123+-x86_64-with-glibc2.35
- Python version: 3.12.11
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerat... | {
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Python 3.11.13
torch==2.6.0+cu124
transformers==4.55.2
bitsandbytes==0.47.0
peft==0.17.0
accelerate==1.10.0
numpy==1.26.4
scipy==1.14.1
GPU: NVIDIA A100-SXM4-40GB
CUDA Version: 12.4
# Dataset
Train
{'text': Value('string'), 'label': Value('int64'), 'input_ids': List(Value('int32')), 'attention_mask... | {
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"merged_at... | ## Description
This PR fixes a typo in MXFP4 quantization tests and improves the consistency of GPU kernel check error messages. The changes address both code quality and user experience improvements.
## What was fixed
- **Typo Fix**: Corrected `is_kernels_availalble` → `is_kernels_available` in test patches (... | {
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This PR fixes a widespread typo where "casual" was incorrectly used instead of "causal" throughout the codebase. The typo affected variable names, documentation strings, and test function names across multiple model implementations.
## What was fixed
- **Variable naming**: Fixed `casual_mask` → ... | {
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I am using Grounding DINO, which makes use of the `bert-base-uncanned` tokenlizer. Unfortunately, this model is never downloaded to cache, forcing a remote call to the API. Please allow for tokenlizer to be cached locally.
### Motivation
I want to use my software offline.
### Your contribution
... | null | {
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- Detect when query_length != query.shape[1] and auto-correct
- Add warning message for debugging monkey patch scenarios
- Fix position_ids.view(-1) -> position_ids.reshape(-1) for memory layout compatibility
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"merged_at... | # What does this PR do?
This PR updates the documentation for the model GPT-J according to #36979 to improve the model cards with a consistent format.
## 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?
Anyone in t... | null | {
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"merged_at... | # What does this PR do?
Feature request
Improve the generate() API by supporting custom, declarative logit warping strategies. Make it easier for users to plug in standard and custom LogitProcessors via configuration or arguments without needing to subclass or dive into internals.
Motivation
The generation modu... | {
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"merged_at... | ## Summary
Fixes a variable naming conflict in the `compute_metrics` function example in the ASR documentation that causes an `UnboundLocalError`.
## Problem
The original code had a naming conflict where `wer` was used both as:
1. The loaded evaluate metric (`wer = evaluate.load("wer")`)
2. The variable to store... | {
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The `Trainer` enables tracking [the number of input tokens](https://github.com/huggingface/transformers/blob/241c04d36867259cdf11dbb4e9d9a60f9cb65ebc/src/transformers/trainer.py#L2492-L2496). I was puzzling over why the logged number of input tokens was so much higher than the number of tokens in m... | {
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"merged_at... | This PR fixes a minor redundancy in the README documentation:
- Changed "over 1M+" to "over 1M".
This improves readability and consistency of the documentation.
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- `transformers` version: 4.55.4
- Platform: Linux-5.10.135.bsk.6-amd64-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accele... | {
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While exploring, I came across [nvidia/RADIO-L](https://huggingface.co/nvidia/RADIO-L) and was wondering about its current support.
1. May I ask if RADIO-L is already supported in Transformers?
2. If not, would it be considered suitable to add?
3. If a model requires trust_remote_code=True, what... | null | {
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As discussed internally. This PR adds `flash-attn` in the CI docker image so the FA2 tests would be run. | {
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# What does this PR do?
Translated the `llama4.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... | {
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https://api.github.com/repos/huggingface/transformers/issues/40395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40395/comments | https://api.github.com/repos/huggingface/transformers/issues/40395/events | https://github.com/huggingface/transformers/pull/40395 | 3,347,570,470 | PR_kwDOCUB6oc6k_y27 | 40,395 | 🌐 [i18n-KO] Updated `text_generation.md` | {
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# What does this PR do?
Updated the `text_generation.md` file in the documentation with a Korean translation.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
Update of #[34590... | null | {
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"merged_at... | # What does this PR do?
In vLLm inference and SFT training, there are lots of blocking operations of image_grid_thw such as `torch.prod` and `torch.tolist`, so let's always fix image_grid_thw to CPU to avoid them.
A simple grep gives the following examples:
```
src/transformers/models/qwen2_5_vl/modeling_qwen2_5_... | null | {
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"merged_at... | Removed unnecessary print statement that was outputting normalized_path during vision weight conversion in convert_shieldgemma2_weights_orbax_to_hf.py
This appears to be a leftover debug statement that should not be in production code.
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Tensorflow 2.16 made keras 3 the default https://github.com/tensorflow/tensorflow/releases/tag/v2.16.1
Since huggingface does not support keras 3 yet, this compat logic was introduced in https://github.com/huggingface/transformers/commit/df1542581ee89107eea0569ee044fa8797b66ab0
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"merged_at... | Fixed 2 instances of the typo "lenght" → "length" in docstring comments in tests/models/kyutai_speech_to_text/test_modeling_kyutai_speech_to_text.py
The typo was in test method documentation explaining context length divergence behavior.
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- 2 instances in src/transformers/models/shieldgemma2/convert_shieldgemma2_weights_orbax_to_hf.py
- 2 instances in src/transformers/models/gemma3/convert_gemma3_weights_orbax_to_hf.py
These typos were in variable names used for parsing path... | {
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- Enables deserializing tool_calls.function.arguments from JSON strings to dictionaries
- Allows iterating over argument key-value pairs in templates
- Added comprehensive tests for the new filter functionality
- Handles graceful fallback when JSON par... | null | {
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"merged_at... | # What does this PR do?
Adds the failing test expectations for MI325 GPUs.
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/transformers/b... | {
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"merged_at... | - Fixed 'casual mask' to 'causal mask' in logger messages across encoder-decoder models
- Fixed variable name 'casual_mask' to 'causal_mask' in mistral/modeling_flax_mistral.py
- Affects 11 files in total: speech_encoder_decoder, encoder_decoder, musicgen, musicgen_melody, mistral, and vision_encoder_decoder models
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- Fixed typo in convert_mm_grounding_dino_to_hf.py where 'image_seperate.weight' should be 'image_separate.weight'
- This improves code readability and consistency
# What does this PR do?
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This PR adds the proper expectation for MI355 GPUs. After this PR, only the `Gemma3IntegrationTest::test_export_text_only_with_hybrid_cache` test fails, which is due to https://github.com/huggingface/transformers/pull/40316.
<!-- Remove if not applicable -->
Fixes # (issue)
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"merged_at... | Fixes #40239
The commit moves away old dependency on jieba to a much efficient rjieba which is a python binding for jieba-rs (jieba implemented in rust)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributo... | {
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- `transformers` version: 4.55.2
- Platform: Linux-5.14.0-570.33.2.el9_6.x86_64-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: 1.10.0
- Accelerate config:
compute_environment: LOCAL_MACHINE ... | {
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I broke the CI in https://github.com/huggingface/transformers/pull/40339 🙈 No idea why the tests weren't triggered before merging
The newly added test is failing for InetrnVL, QwenAudio (and others) because the number of video/audio placeholders doesn't match number of actual video/aud... | {
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As per the title. It's been some time that the small models are defaulting back to a DynamicCache. Time to stop skipping them!
cc @ArthurZucker @gante | {
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I think most processor don't have special functions except for passing each modality to its own preprocessor and combining outputs. This PR is an attempt to modularize processor's `__call__` method, we define a default call and delete model-specific code in processor files if it is same as th... | {
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Related package versions:
`transformers=4.51.3`
`accelerate==1.3.0`
### 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... | {
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"merged_at... | # What does this PR do?
Related to #25084
Makes the ASR pipeline behave as other text-generating pipelines: kwargs at call time are forwared to `generate`, as opposed to needing a special keyword.
_____________________
```py
from transformers import pipeline
from datasets import load_dataset
model =... | {
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Fixes a typo: 'casual' to 'causal'
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As per the title. I think it's super important for users that we stay up-to-date with all the recent changes!
cc @gante would you mind double checking as well? feedback always appreciated for the doc | {
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This should be the last PR removing JAX/FLAX from our docs 🤗 After this PR, the only JAX/FLAX mentions in our docs are either historical (e.g. "(written in JAX)" as a note regarding the model origin) or useful for model addition information (e.g. tips to debug models originally written in ja... | {
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N/A (not related to environment)
### 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)
### ... | {
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Addresses https://github.com/huggingface/transformers/pull/34954 and updates ESM to supports attention API and modeling outputs | {
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fix function parameter with the latest function implementation
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Fixes issue #40239: remove jieba dependenc and replace iwht wiht rjieba
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GLM45 requires `fromjson` in jinja2 to deserialize str typed `tool_calls.function.arguments` to dict within chat template so it can iterate over `arguments`'s k-v within jinja2 chat template.
```
{% for tc in m.tool_calls %}
{%- if tc.function %}
{%- set tc = tc.function %}
{%- endif %}
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This PR adds a `tokenizer_kwargs` argument to the `TextGenerationPipeline`, allowing users to pass arbitrary arguments to the tokenizer during preprocessing. In particular, this lets users set chat template arguments, such as the `enable_thinking` flag for Qwen3 or SmolLM3.
## Before su... | {
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"merged_at... | since hfquantizer now supports XPU too, so change `get_cuda_warm_up_factor` to a more device agnostic naming `get_accelerator_warm_up_factor`.
@Rocketknight1 , pls help review, thx very much. | {
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- `transformers` version: 4.55.2
- Platform: Linux-6.8.0-60-generic-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.35.0.rc0
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```
- `transformers` version: 4.55.3
- Platform: Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.34.4
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- Accelerate version: 1.5.2
- Accelerate config: not found
- DeepSpeed version: not installed
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"merged_at... | # 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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not relevant
### Who can help?
For input of shape [B, 3, 14, 14]
(3 colours, 14x14 patches)
Llama4UnfoldConvolution output always has the shape [B, 1, D]
(where D is hidden_size from config)
This means here (line 1083 in src/transformers/models/llama4/modeling_llama4.py)
```
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"merged_at... | Fixes #40202
This pull request fixes the AssertionError: assert num_stages >= 1 error that happens during multi-turn chat generation in GPT-OSS models using MXFP4 quantization. The issue arises because the input tensor shape to the MXFP4 Triton kernel is different between the first chat turn, which uses a 3D tensor ... | null | {
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"merged_at... | # What does this PR do?
Useful for thinking models, where we sometimes want to retrieve all generated tokens (including special tokens).
Test script:
```py
from transformers import pipeline
model_id = "Qwen/Qwen3-0.6B"
chat = [{"role": "user", "content": "What's your name?\n\n"}]
generator = pipeline("text... | {
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Follows #40068
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This PR clarifies the documentation for the label_names argument in TrainingArguments. Currently, it may be unclear when label_names should be used. For classification tasks (binary, multi-class), labels are expected as a single tensor (labels), so label_names is not required and can cause er... | {
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Dynamically sets return_lse depending on output_attentions from model config. This enables the models to run on CPU devices as well.
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"merged_at... | As internally discussed we want to have FA in our CIs so the first step is to enable it to run without corrupting the cuda state (i.e. device errors trigger subsequent device errors if in the same process).
cc @ydshieh @Cyrilvallez | {
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- `transformers` version: 4.55.3
- Platform: Linux-5.10.0-35-cloud-amd64-x86_64-with-glibc2.31
- Python version: 3.10.18
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: 1.10.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (ac... | {
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- Remove `**kwargs` input from methods
- Inherit from `PreTrainedAudioTokenizerBase` like DAC
- Remove creation of `self._input_length` inside `encode`, and use same truncation logic as in DAC's `forward` | {
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"merged_at... | ### Fixes
Closes #38939
### Description
This PR addresses an issue where the `Trainer` fails to save the final checkpoint when resuming from an interrupted training run.
The root cause is that the `step` variable within the training loop is always initialized to -1, even when resuming from a checkpoint. Thi... | {
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"merged_at... | # What does this PR do?
Fixes AutoAWQ version checking logic that was causing AttributeError when version attributes are missing, preventing legitimate users with correct versions from loading AWQ models.
Fixes #39798
## Root Cause & Solution
**Problem**: Version checking logic failed when AutoAWQ module di... | {
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- `transformers` version: 4.55.3
- Platform: Linux-5.15.0-119-generic-x86_64-with-glibc2.35
- Python version: 3.10.18
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (a... | {
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In all files in `/en/model_doc` (i.e. transformers model docs):
1. finds all files with "tf" and "tensorflow" references
2. deletes all tensorflow-related references in those files
3. (minor nits were also fixed in those files along the way)
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As per the title. It was a typo, all other classes are scheduled for 4.59 | {
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Unblocks https://github.com/huggingface/transformers/pull/39722 so we can use `check_model_inputs` in VLMs copied from llava. Otehrwise #39722 would need to re-define model classes to change forward pass and delete `output_xxx` kwargs | {
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"merged_at... | The `wav2vec2` model tests use a dataset that is no longer compatible with `datasets`, so this PR replaces it with a newer dataset and changes the expected transcriptions. They match the dataset labels close enough.
cc. @eustlb because this is an audio model | {
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