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`transformers==4.57.1`
### 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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Don't overwrite `cls` incidentally in `__new__`. | {
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"merged_at... | # What does this PR do?
As the title says.
## 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#create-a-pull-request),
... | {
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Ubuntu
### 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 dataset (give details below)
### Reproduction
```python
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torch 2.10.0.dev20251008+cpu
### Who can help?
@vasqu
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproducti... | null | {
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"merged_at... | # What does this PR do?
This PR fixes MarkDown document issues detected by markdownlint-cli2. Some duplicated `autodoc` entries are also removed.
## 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 guide... | {
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environment variables
# What does this PR do?
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Fix some small issues with auto_docstring and raise an error instead of just warning if something is wrong when running check_auto_docstring | null | {
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The transformers compatible weights are currently available in two places:
- A [pr](https://huggingface.co/karpathy/nanochat-d32/discussions/1) on Karpathy's repo (large model)
- A [repo](https://huggingface.co/nanochat-students/nanochat-d20) on th... | null | {
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Refactor the handling of subprocessors in processors.
- Main change is that we deduce the subprocessors from the init signature instead of having to manually add "subprocessor_class" attributes.
- This means we can remove all `attributes` attribute in processors, along with all `"subprocess... | null | {
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"merged_at... | In `test_tokenizer`:
`for text in dataset[i]["premise"].values():
test_string(slow, fast, text)
# hypothesis, all languages
for text in dataset[i]["hypothesis"]["translation"]:
test_string(slow, fast, text)`
The "premise" field in the XNLI dataset is a string, not a dictionary**. Calling .values() o... | {
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https://api.github.com/repos/huggingface/transformers/issues/41630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41630/comments | https://api.github.com/repos/huggingface/transformers/issues/41630/events | https://github.com/huggingface/transformers/issues/41630 | 3,518,806,878 | I_kwDOCUB6oc7RvLte | 41,630 | Incorrect Access of Dataset Fields in check_tokenizers.py | {
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Similarly, `hypothesis` is also a string (not a dictionary), so `"hypothesis"]["translation"` will fail. | null | {
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"merged_at... | # What does this PR do?
Makes Idefics 3 exportable by assuming batch size of 1, unrolling the loop to a single iteration.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/hu... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41628 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41628/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41628/comments | https://api.github.com/repos/huggingface/transformers/issues/41628/events | https://github.com/huggingface/transformers/issues/41628 | 3,518,780,612 | I_kwDOCUB6oc7RvFTE | 41,628 | Cannot import name 'AutoImageProcessor' from 'transformers' | {
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Intel CPU
Nvidia 3090
ubuntu 22.04
python 3.10.12
transformers=5.0.0.dev0 (installed from the official git repo)
### PS:
It's also tested with transformers=4.57.1, which is installed using "pip install", the same error persisted while executing "from transformers import AutoImageProcessor, AutoModel".... | {
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https://api.github.com/repos/huggingface/transformers/issues/41627 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41627/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41627/comments | https://api.github.com/repos/huggingface/transformers/issues/41627/events | https://github.com/huggingface/transformers/pull/41627 | 3,518,624,861 | PR_kwDOCUB6oc6t6q0C | 41,627 | [`Executorch`] Simplify for encoder models | {
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https://api.github.com/repos/huggingface/transformers/issues/41626 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41626/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41626/comments | https://api.github.com/repos/huggingface/transformers/issues/41626/events | https://github.com/huggingface/transformers/pull/41626 | 3,518,452,917 | PR_kwDOCUB6oc6t6Fp6 | 41,626 | [v5] Return a BatchEncoding dict from apply_chat_template by default | {
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"merged_at... | Tokenizers return a BatchEncoding dict by default, but `apply_chat_template` doesn't. This is just an accident of how I wrote it originally, which we were stuck with for backward compatibility reasons. Ideally, I think `apply_chat_template` should return exactly the same format as tokenizers, since it also performs tok... | null | {
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Serving is broken with continuous batching to due recent PRs. This PR fixes it | {
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- `transformers` version: 4.57.0.dev0
- Platform: Linux-6.14.0-33-generic-x86_64-with-glibc2.39
- Python version: 3.12.11
- Huggingface_hub version: 1.0.0.rc5
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version... | null | {
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- `transformers` version: 4.57.0.dev0
- Platform: Linux-6.14.0-33-generic-x86_64-with-glibc2.39
- Python version: 3.12.11
- Huggingface_hub version: 1.0.0.rc5
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
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# What does this PR do?
Implementation of the LightonOCR model following Modular Transformers architecture.
Our model is a 1B parameter OCR model using Pixtral as the vision encoder and Qwen3 as the LLM decoder.
I still have an issue with auto configuration, which I'm not familiar with:
`🚨 Config n... | null | {
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#36545 introduced a mistake regarding the headmask
before that PR, we had some
```
# Mask heads if we want to
if head_mask is not None:
attention_probs = attention_probs * head_mask
```
but after the PR, it became
```
# Mask heads if we want to
... | {
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https://api.github.com/repos/huggingface/transformers/issues/41619 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41619/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41619/comments | https://api.github.com/repos/huggingface/transformers/issues/41619/events | https://github.com/huggingface/transformers/pull/41619 | 3,518,010,782 | PR_kwDOCUB6oc6t4k-d | 41,619 | Fix FP-Quant quantization fallback CPU dispatch. | {
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<!--
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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.
Then, please replace this w... | {
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`https://huggingface.co/kirp/kosmos2_5/resolve/main/receipt_00008.png` is no longer available (likely the author deleted it).
That is used during the PR. Let's use the official repo. now
https://huggingface.co/microsoft/kosmos-2.5/resolve/main/receipt_00008.png
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As per title | {
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https://api.github.com/repos/huggingface/transformers/issues/41615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41615/comments | https://api.github.com/repos/huggingface/transformers/issues/41615/events | https://github.com/huggingface/transformers/issues/41615 | 3,517,670,975 | I_kwDOCUB6oc7Rq2Y_ | 41,615 | Issue Report: Abnormal GPU Utilization Pattern - DDP Training CLIP Model from Scratch | {
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Encountering abnormal GPU utilization patterns when training a CLIP model from scratch using DDP (Distributed Data Parallel). The monitoring charts show:
- **GPU Memory Allocation**: All 8 GPUs maintain a stable ~10% memory allocation
- **GPU Utilization**: Highly irregular fluctuation pattern,... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41613 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41613/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41613/comments | https://api.github.com/repos/huggingface/transformers/issues/41613/events | https://github.com/huggingface/transformers/pull/41613 | 3,517,586,889 | PR_kwDOCUB6oc6t3JLR | 41,613 | Fix quantization base class | {
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This PR fixes issues that was created from this [PR](https://github.com/huggingface/transformers/pull/41445) regarding quantization. | {
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https://api.github.com/repos/huggingface/transformers/issues/41612 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41612/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41612/comments | https://api.github.com/repos/huggingface/transformers/issues/41612/events | https://github.com/huggingface/transformers/pull/41612 | 3,517,439,279 | PR_kwDOCUB6oc6t2ojq | 41,612 | Fix EncoderDecoder cache | {
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https://api.github.com/repos/huggingface/transformers/issues/41611 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41611/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41611/comments | https://api.github.com/repos/huggingface/transformers/issues/41611/events | https://github.com/huggingface/transformers/pull/41611 | 3,517,424,685 | PR_kwDOCUB6oc6t2lQC | 41,611 | Docs add custom loss example | {
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It provides a clear code example that shows how to subclass `Trainer` and override the `compute_loss` method. This addresses a common user question and makes the documentation more complete... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41610 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41610/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41610/comments | https://api.github.com/repos/huggingface/transformers/issues/41610/events | https://github.com/huggingface/transformers/pull/41610 | 3,517,414,676 | PR_kwDOCUB6oc6t2i_J | 41,610 | torch 2.9 don't ❤️ torchcodec 💔 | {
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"merged_at... | # What does this PR do?
Let's pin torch 2.8 for now.
See https://github.com/meta-pytorch/torchcodec/issues/912
It is causing problems on our CircleCI for now.
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https://api.github.com/repos/huggingface/transformers/issues/41609 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41609/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41609/comments | https://api.github.com/repos/huggingface/transformers/issues/41609/events | https://github.com/huggingface/transformers/pull/41609 | 3,517,379,985 | PR_kwDOCUB6oc6t2bTU | 41,609 | Fix gemma gguf tokenizer | {
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The root cause was that the GGUF loading logic did not have an explicit check to handle the Gemma architecture spec... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41608 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41608/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41608/comments | https://api.github.com/repos/huggingface/transformers/issues/41608/events | https://github.com/huggingface/transformers/pull/41608 | 3,517,318,335 | PR_kwDOCUB6oc6t2Nmn | 41,608 | Import `expand_device_map` instead of redefining it | {
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This function has been moved to integrations but was not deleted properly | {
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https://api.github.com/repos/huggingface/transformers/issues/41607 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41607/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41607/comments | https://api.github.com/repos/huggingface/transformers/issues/41607/events | https://github.com/huggingface/transformers/pull/41607 | 3,517,268,838 | PR_kwDOCUB6oc6t2CoO | 41,607 | [v5] Delete `videos` from image processing classes | {
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As per title, it was deprecated for v5 | {
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https://api.github.com/repos/huggingface/transformers/issues/41606 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41606/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41606/comments | https://api.github.com/repos/huggingface/transformers/issues/41606/events | https://github.com/huggingface/transformers/pull/41606 | 3,517,230,458 | PR_kwDOCUB6oc6t16MT | 41,606 | fix(processing): Filter kwargs in ProcessorMixin call to prevent Type… | {
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"merged_at... | This PR fixes an issue where multimodal processors could raise a `TypeError` when called with arguments specific to one modality. The `ProcessorMixin.__call__` method was passing all keyword arguments to each sub-processor (tokenizer, feature extractor, etc.), causing a crash if a processor received an argument it didn... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41605 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41605/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41605/comments | https://api.github.com/repos/huggingface/transformers/issues/41605/events | https://github.com/huggingface/transformers/pull/41605 | 3,517,229,429 | PR_kwDOCUB6oc6t15-Q | 41,605 | Fix fp32_ln for various models | {
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"merged_at... | This PR fixes the test `test_flash_attn_2_fp32_ln` for several models:
- `bark` was failing the test because it call `_flash_attention_forward` directly without checking the `queries` dtype, and so the test could fail if the dtype was `torch.float32`. To fix this we re-factored out a code block into a function `get_t... | {
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- Pass original dict instead of copy to `maybe_load_adapters`
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FIxes failing VJEPA test. The test was failing because the video was not permuted to the correct format that torchvision expects `(T, C, H, W)` | {
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As discussion [(link)](https://github.com/huggingface/transformers/pull/41143#issuecomment-3346569299) in #41143 , we set `enable_gqa=False` by force when running on Ascend NPU.
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transformers 4.55.0
python 3.10.12
plateform aarch
### Who can help?
@ivarflakstad
i know it's different between AMD and arm, unfortunately i can not image who can help me in this issue.
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ]... | {
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This PR applies markdownlint-cli2 to format and fix markdown files.
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- `transformers` version: 4.57.0
- Platform: Windows-10-10.0.26200-SP0
- Python version: 3.10.18
- Huggingface_hub version: 0.35.3
- Safetensors version: 0.5.3
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.4.0+cpu (... | null | {
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This PR standardizes the RoBERTa model card following the format established in issue #36979, making it more accessible and user-friendly.
**Changes made:**
✅ **Enhanced Badge Support**
- Added TensorFlow support (orange badge)
- Added Flax support (yellow badge)
- Maintained PyTorch and SD... | null | {
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"merged_at... | ## What does this PR do?
This PR adds a beginner-friendly sentiment analysis example to help newcomers learn the transformers library. The new example provides a simpler, more educational alternative to the existing `run_glue.py` and `run_classification.py` scripts.
## Motivation and Context
The current text-c... | null | {
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"merged_at... | …rics, threshold tuning) + README usage
# What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome c... | null | {
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Adds a clearer ImportError message when users try to load a Voxtral tokenizer without having `mistral-common` installed.
## Issue
Fixes #41553
Fixes misleading `TypeError: not a string` when loading Voxtral models.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (... | null | {
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So I have written documentation. I need to add resulting image before merger. For this I want to train the model a bit more since bboxes are slightly shifted and it ann... | {
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As per title, being able to simply call `model.base_model` is a useful feat for models which we didn't support in VLMs | null | {
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This PR removes `use_auth_token` for v5 | {
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This PR removes a few things that we don't need in v5. | {
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This PR fixes the performance regression due to bidirectional masks.
Fixes # (issue): 41566
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggi... | {
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This PR adds a new arg that allows users to change the value of `use_cache` in the model config. For training, usually we don't need to use a cache and this created quite a lot of issues in the past (incompatibility, regression, lower perfs). Now that v5 is coming, let's do this change.
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"merged_at... | Fix: clearer error when SentencePiece model file is missing for Llama tokenizer
Fix:
Improved error handling in get_spm_processor to provide a clear, actionable message when the required SentencePiece model file is missing.
Before:
The tokenizer raised an unhelpful low-level
```python
TypeError: not a string
... | null | {
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Adds xpu layernorm kernel after pining the kernel version, and making sure the user has the latest version before registering the mapping that includes xpu device. | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41582 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41582/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41582/comments | https://api.github.com/repos/huggingface/transformers/issues/41582/events | https://github.com/huggingface/transformers/pull/41582 | 3,514,173,063 | PR_kwDOCUB6oc6trlxR | 41,582 | Update executorch.md | {
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"merged_at... | # What does this PR do?
Update ExecuTorch docs, keep things simple and just redirect to Optimum repo.
## 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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This PR fixes issues related to bnb during a recent refactor. I didn't push some modifications | {
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"merged_at... | # CORE REFACTORING, loading, converting, logging
More helpful debugging report when loading weights
<img width="2614" height="538" alt="image" src="https://github.com/user-attachments/assets/02df278f-10e0-4ca1-a35c-b09ee3fc67f9" />
## Enable MoE quantization for FP8
This script does not work on main
```python... | null | {
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Reverting to check what's happening | {
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This PR fixes a small import that was introduced in https://github.com/huggingface/transformers/issues/41445. | {
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https://api.github.com/repos/huggingface/transformers/issues/41577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41577/comments | https://api.github.com/repos/huggingface/transformers/issues/41577/events | https://github.com/huggingface/transformers/pull/41577 | 3,513,822,939 | PR_kwDOCUB6oc6tqYmX | 41,577 | [kernels] refactor function kernel calling | {
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"merged_at... | # What does this PR do?
This should simplify lazy kernel loading in Transformers.
We simply define a mapping between each kernel name and the repository it should be pulled from, then load it using the `lazy_load_kernel` function. This function adds the kernel to a global cache shared across all models.
If the... | {
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"merged_at... | Fixes # 41553
Added a small check in both src/transformers/models/llama/tokenization_llama_fast.py and src/transformers/models/llama/tokenization_llama.py.
Who can review?
@ArthurZucker
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who ... | {
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Fixes # 41553
Added a small check in both src/transformers/models/llama/tokenization_llama_fast.py and src/transformers/models/llama/tokenization_llama.py.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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This PR updates the issue template. | {
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- a multiple-device error where `torch.where` takes some of its coefficients from a tensor that is not on the right device and is a full_like, so we just replace it with the filling element
- an error in the `flash_attn_inference_equivalence` which is due to the model needing m... | {
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"merged_at... | This tiny tiny PR fixes an error introduced in #41445 which led to an import error.
For instance, `tests/models/gemma3/test_modeling_gemma3.py::Gemma3Vision2TextModelTest::test_flash_attn_2_fp32_ln` without this fix fails with
```
NameError: name 'PreTrainedModel' is not defined
```
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```
Traceback (most recent call last):
File "/data01/xuqile/code/Inference/transformers/infer_qwen3vl_transformers.py", line... | null | {
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Use `yaml.safe_load` instead of `yaml.load` to avoid potential security issue, and to close the security report we received.
https://pyyaml.org/wiki/PyYAMLDocumentation
> Warning: It is not safe to call yaml.load with any data received from an untrusted source! yaml.load is as powerful ... | {
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GPTQModel has a slight project name change (pypi package and import name stays the same) to GPT-QModel with `-` as we now have added `awq`/AutoAWQ into our repo and will be making pr soon to address awq loading using GPT... | null | {
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torch 2.10.0.dev20251008+cpu
### Who can help?
@vasqu @zucchini-nlp
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give ... | {
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"merged_at... | <!-- PR의 제목은 "🌐 [i18n-KO] Updated ko/perf_train_gpu_many.md" 으로 부탁드립니다 -->
# What does this PR do?
Updated the perf_train_special.md file in the documentation with a Korean translation.
Thank you in advance for your review.
Part of #20179
Update of #26244
## Before reviewing
- [x] Check for missing / re... | null | {
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Add Aux Loss for GLM-4.5V | {
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https://api.github.com/repos/huggingface/transformers/issues/41563 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41563/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41563/comments | https://api.github.com/repos/huggingface/transformers/issues/41563/events | https://github.com/huggingface/transformers/pull/41563 | 3,512,454,604 | PR_kwDOCUB6oc6tlwgo | 41,563 | add rmsnorm kernels support for Intel XPU | {
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"merged_at... | @MekkCyber @drbh pls help review, thx!
We did a benchmark using following scripts on Intel XPU PVC Max 1550:
```
import gc
import torch
import time
import transformers
from transformers import AutoConfig, AutoProcessor, GenerationConfig, set_seed, StaticCache
device = torch.device("xpu")
data_type = torch.fl... | {
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https://api.github.com/repos/huggingface/transformers/issues/41562 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41562/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41562/comments | https://api.github.com/repos/huggingface/transformers/issues/41562/events | https://github.com/huggingface/transformers/issues/41562 | 3,512,421,249 | I_kwDOCUB6oc7RW0uB | 41,562 | NameError: name 'PreTrainedModel' is not defined | {
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- ubuntu22.04 docker image.
- python3.10
- torch2.7.0-cu128
- transformers-5.0.0.dev0
---
I was able to load the model fine until yesterday, but suddenly it stopped working with the error below.
> <img width="1063" height="237" alt="Image" src="https://github.com/user-attachments/assets/659de62d-089c-... | {
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"merged_at... | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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Refering the code, when algin the special tokens:
```
tokenizer_has_new_eos = tokenizer.eos_token_ids != self.model.generation_config.eos_token_id
```
here if we have a list in model's generation_config, then this value is always false thus duplicate eos_token_id will be introduced in the eos_token_id... | {
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https://api.github.com/repos/huggingface/transformers/issues/41559 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41559/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41559/comments | https://api.github.com/repos/huggingface/transformers/issues/41559/events | https://github.com/huggingface/transformers/pull/41559 | 3,512,221,626 | PR_kwDOCUB6oc6tk_vT | 41,559 | Fix executorch export with dynamic shapes | {
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"merged_at... | # What does this PR do?
This PR addd shape compatibility check for attention mask to ensure torch.export can reason about the logic without failing _when exporting with dynamic shapes_.
It additionally simplified the sdpa forward function for export only usage.
## Before submitting
- [ ] This PR fixes a typo ... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41558 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41558/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41558/comments | https://api.github.com/repos/huggingface/transformers/issues/41558/events | https://github.com/huggingface/transformers/pull/41558 | 3,512,172,701 | PR_kwDOCUB6oc6tk1yV | 41,558 | fix some case failures lead by "`torch.compile` recompiled part of th… | {
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"merged_at... | …e forward pass" in xpu
# What does this PR do?
fix test failure. including
cases include
tests/models/chameleon/test_modeling_chameleon.py::ChameleonVision2SeqModelTest::test_generate_compile_model_forward_fullgraph
tests/models/dia/test_modeling_dia.py::DiaModelTest::test_generate_compile_model_forward_ful... | {
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https://api.github.com/repos/huggingface/transformers/issues/41557 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41557/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41557/comments | https://api.github.com/repos/huggingface/transformers/issues/41557/events | https://github.com/huggingface/transformers/pull/41557 | 3,512,126,327 | PR_kwDOCUB6oc6tksR0 | 41,557 | Update modeling_llama4.py | {
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"merged_at... | Something is off. The code shows Llama4TextL2Norm function name, but it computes RMS Norm. Which one is the correct one for LLAMA4? RMS or L2? If so, the function should be renamed (if RMS) or modified (if L2) accordingly.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/41556 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41556/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41556/comments | https://api.github.com/repos/huggingface/transformers/issues/41556/events | https://github.com/huggingface/transformers/pull/41556 | 3,512,122,051 | PR_kwDOCUB6oc6tkrXP | 41,556 | fix check inputs for text2text pipeline | {
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"merged_at... | The pipeline should check generation_config before checking inputs.
```python
import torch
from transformers import pipeline, AutoTokenizer
model_id = "sshleifer/distilbart-cnn-12-6"
tokenizer = AutoTokenizer.from_pretrained(model_id)
generator = pipeline(
"summarization",
model=model_id,
tokeniz... | {
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https://api.github.com/repos/huggingface/transformers/issues/41554 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41554/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41554/comments | https://api.github.com/repos/huggingface/transformers/issues/41554/events | https://github.com/huggingface/transformers/issues/41554 | 3,511,764,600 | I_kwDOCUB6oc7RUUZ4 | 41,554 | model.from_pretrained( . . . ) not loading needed weights/parameters | {
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Getting the following unhelpful error when trying to load Voxtral's tokenizer with `AutoTokenizer` without `mistral-common` installed.
```
../../.conda/envs/et_new/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:1144: in from_pretrained
return tokenizer_class_fast.from_p... | null | {
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"merged_at... | ## Purpose ##
* Fix bad import in `src/transformers/quantizers/base.py`
## Changes ##
* Import `PreTrainedModel` dynamically, rather than only importing when type checking
* The class is needed for an `isinstance` check
## Testing ##
* Code which calls `_assign_original_dtype` which was previously failing i... | {
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"merged_at... | @ydshieh , pls help review, thx very much.
pass rate is 92.4% (25446 pass over 27546 total cases), we are working on the issues found during this release cycle and PRs are merged or under development. Thx for great support, XPU pass rate on transformers is improving step by step.
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# What does this PR do?
Adds a VideoInpaintPipeline prototype (under examples/video_inpaint) that demonstrates a Diffusers-style from_pretrained factory and a temporally-coherent inpainting workflow with optional optical-flow warping and latent-reuse, using a lightweight mock backend so tests run without large mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/41549 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41549/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41549/comments | https://api.github.com/repos/huggingface/transformers/issues/41549/events | https://github.com/huggingface/transformers/pull/41549 | 3,510,775,257 | PR_kwDOCUB6oc6tgHmn | 41,549 | 🚨 Refactor DETR to updated standards | {
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This PR aims at refactoring DETR as part of an effort to standardize vision models in the library, in the same vein as https://github.com/huggingface/transformers/pull/41546.
Expect to see much more PRs like this for vision models as we approach v5! | null | {
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If a model has a lot of different parameters (which is the case for models with a lot of experts, such as Qwen3Next), the computation of the device_map itself (yes, just the mapping of modules to devices) is EXTREMELY slow when using `accelerate`.
This is because they traverse the model grap... | {
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As per title. Adds the nice recent modeling utils to CLIP. Was motivated to be able to use it in the looong-standing #33962 . | {
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"merged_at... | # What does this PR do?
Parakeet TDT model integration.
<!--
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 contribut... | null | {
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model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
"Qwen/Qwen2.5-VL-72B-Instruct-AWQ",
torch_dtype=torch.float16,
device_map="auto",
)
processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-VL-72B-Instruct-AWQ")
I got this error, my package version:
torch==2.5.1
transformers==4.50.0
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Introduce a new pipeline to extend existing image inpainting capabilities (StableDiffusionInpaintPipeline) to videos. The goal is to provide a native, GPU-optimized API within Diffusers that performs temporally coherent video inpainting instead of independent per-frame processing.
### Motivation
... | {
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