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As per title, deletes base config attributes that are not actually universal for all models (e.g. token ids used only for text models and tying can be done only if model has embedding layers)
After this PR, we need to clean up generation-related params from config classes (https://github.c... | null | {
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I import transformers (always latest) in my poetry project.
I use poetry 2.1.2
After this transformers release (4.57.0) I regenerated the poetry lock with command: `poetry lock`
Then when retrying to generate the lock again after other updates - it fails with message:
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- add a dedicated `VideoMAEVideoProcessor` that decodes/samples videos via TorchCodec and emits `pixel_values` ready for VideoMAE models
- document the new processor alongside the existing image processor so users can discover the GPU-friendly path
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https://api.github.com/repos/huggingface/transformers/issues/41533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41533/comments | https://api.github.com/repos/huggingface/transformers/issues/41533/events | https://github.com/huggingface/transformers/issues/41533 | 3,507,227,594 | I_kwDOCUB6oc7RDAvK | 41,533 | Add_Specifical_tokens and resize_toked_embeddings result in an error | {
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I want to add a few special tokens to my Qwen2.5VL model as separators, and after executing the following code, he received the following error message. I don't know how to solve this problem.
``` bash
[rank1]: Traceback (most recent call last):
[rank1]: RuntimeError: shape '[-1, 151936]' is invalid fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/41532 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41532/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41532/comments | https://api.github.com/repos/huggingface/transformers/issues/41532/events | https://github.com/huggingface/transformers/issues/41532 | 3,507,181,077 | I_kwDOCUB6oc7RC1YV | 41,532 | where is examples/rag from original paper? | {
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https://arxiv.org/pdf/2005.11401 mentions https://github.com/huggingface/transformers/blob/main/examples/rag but it is not there. Add redirect if possible
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially... | {
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https://api.github.com/repos/huggingface/transformers/issues/41531 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41531/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41531/comments | https://api.github.com/repos/huggingface/transformers/issues/41531/events | https://github.com/huggingface/transformers/pull/41531 | 3,506,767,284 | PR_kwDOCUB6oc6tSnbr | 41,531 | 🌐 [i18n-KO] Translated `video_processor.md` to Korean | {
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"merged_at... | # What does this PR do?
Translated the `video_processor.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 ... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41530/comments | https://api.github.com/repos/huggingface/transformers/issues/41530/events | https://github.com/huggingface/transformers/pull/41530 | 3,506,748,189 | PR_kwDOCUB6oc6tSjmw | 41,530 | Fix: Correct loss normalization in training_step for multi-GPU training | {
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"merged_at... | # Fix: Correct loss normalization in training_step for multi-GPU training
## Description
Fixes #37474
This PR corrects the loss aggregation logic in `Trainer.training_step` when training with multiple GPUs.
## Problem
When `num_items_in_batch` is provided (e.g., for token-level loss normalization), each dev... | {
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"merged_at... | # Add num_logits_to_keep to GPT-2 and improve Llama implementation
## Description
Adds `num_logits_to_keep` parameter to GPT-2 for memory-efficient generation and simplifies the implementation in Llama.
## Changes
### GPT-2
- ✅ Added `num_logits_to_keep` parameter to `GPT2LMHeadModel.forward()`
- ✅ Only com... | {
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https://api.github.com/repos/huggingface/transformers/issues/41528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41528/comments | https://api.github.com/repos/huggingface/transformers/issues/41528/events | https://github.com/huggingface/transformers/pull/41528 | 3,506,719,764 | PR_kwDOCUB6oc6tSeX6 | 41,528 | Add position encoding interpolation to DeiT | {
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"merged_at... | # Add position encoding interpolation to DeiT
## Description
Adds position encoding interpolation to DeiT models, enabling the use of pretrained checkpoints on images with different resolutions than those used during training.
Contributes to #30579
## Changes
- ✅ Added `interpolate_pos_encoding` parameter to... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41527/comments | https://api.github.com/repos/huggingface/transformers/issues/41527/events | https://github.com/huggingface/transformers/pull/41527 | 3,506,624,178 | PR_kwDOCUB6oc6tSMu4 | 41,527 | 🌐 [i18n-KO] Translated selecting.md to Korean | {
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"merged_at... | # What does this PR do?
Translated the `selecting.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)
-... | null | {
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I am trying to extract attention weights from the model and thus need to use `eager` implementation.
7B fails gives garbage output,
```python
import requests
from PIL import Image
import torch
from transformers import AutoProcessor, LlavaOnevisionForConditionalGeneration
model_id = "llava-hf/llava-... | {
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https://api.github.com/repos/huggingface/transformers/issues/41525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41525/comments | https://api.github.com/repos/huggingface/transformers/issues/41525/events | https://github.com/huggingface/transformers/pull/41525 | 3,506,137,270 | PR_kwDOCUB6oc6tQvkf | 41,525 | Fixed Type-hints in function defintions | {
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Although [RUF013](https://docs.astral.sh/ruff/rules/implicit-optional/#implicit-optional-ruf013) rule is [enabled](https://github.com/huggingface/transformers/blob/3927ffed31e3c0d2929bf98bd05b7c61fcc48b62/pyproject.toml#L35), it doesn't catch when we are using custom types ([known issue](https:... | {
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https://api.github.com/repos/huggingface/transformers/issues/41524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41524/comments | https://api.github.com/repos/huggingface/transformers/issues/41524/events | https://github.com/huggingface/transformers/pull/41524 | 3,506,049,723 | PR_kwDOCUB6oc6tQdOg | 41,524 | Add max_eval_batches argument to TrainingArguments | {
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"merged_at... | # Add max_eval_batches argument to TrainingArguments
## Description
Adds a `max_eval_batches` parameter to `TrainingArguments` that allows users to limit the number of batches used during evaluation.
Fixes #31561
## Motivation
When working with large evaluation datasets, running evaluation on the entire data... | null | {
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"merged_at... | # Add test coverage for ConvNextImageProcessorFast
## Description
Completes test coverage for the existing `ConvNextImageProcessorFast` implementation by adding `image_processor_list` to enable testing both slow and fast processors.
## Changes
- ✅ Added `image_processor_list = [image_processing_class, fast_imag... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41522 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41522/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41522/comments | https://api.github.com/repos/huggingface/transformers/issues/41522/events | https://github.com/huggingface/transformers/pull/41522 | 3,505,830,231 | PR_kwDOCUB6oc6tPvkv | 41,522 | Fix _init_weights to safely skip int8 quantized weights | {
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"merged_at... | This PR addresses a RuntimeError that occurs when loading W8A8 quantized Qwen2.5-VL models.
Changes:
- Modified `_init_weights` in `Qwen2_5_VLPreTrainedModel` to safely skip non-floating tensors (e.g., int8 quantized weights) during initialization.
- Ensures float tensors are initialized normally, while int8 or o... | null | {
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"merged_at... | # What does this PR do?
Fixes #41492
Fixes incorrect target language generation during evaluation/validation in run_translation.py for multilingual translation models (mBART , M2M100).
### Problem
When fine-tuning multilingual models, forced_bos_token_id was only set in model.config but not in model.genera... | {
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I’d like to propose adding a lightweight, GPU-friendly video decoding utility to Transformers.
Right now, models like VideoMAE and TimeSformer depend on PIL or OpenCV for frame extraction, which keeps preprocessing on the CPU and slows down training and inference. A unified VideoReader module that ... | {
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Add a unified vision-language negative sampling utility for contrastive learning. Support hard negative mining and in-batch negative sampling. Compatible with BLIP, LLaVA, and IDEFICS training pipelines. Modular design for easy integration into existing VLM frameworks
### Motivation
VLM training ... | null | {
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Introduce transformers.prompt_templates — a YAML-based registry and accessor API:
```
from transformers import PromptTemplates
PromptTemplates.get("summarization") # "Summarize the following text:"
PromptTemplates.list_tasks() # ["summarization","vqa","ocr",...]
```
- Templates... | null | {
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Add a fast image processor for **MobileNetV2** to bring it in line with other vision models (e.g., ViT, ConvNeXt) that already have fast variants.
This will improve performance for all MobileNetV2-based checkpoints and multimodal processors that depend on it.
### Scope
- Mirror current preproces... | {
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The error was as below. Please help.
Traceback (most recent call last):
File "/hail/cjs/finetune/ft0/lora.py", line 231, in <module>
model, tokenizer = finetune_with_lora(model_name, output_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/hail/cjs/finetune/ft0/lora.... | null | {
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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.
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https://api.github.com/repos/huggingface/transformers/issues/41514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41514/comments | https://api.github.com/repos/huggingface/transformers/issues/41514/events | https://github.com/huggingface/transformers/pull/41514 | 3,503,050,135 | PR_kwDOCUB6oc6tGWoJ | 41,514 | delete some tokenizer tests using pickle | {
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There is no room for `pickle` within `transformers`! | {
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https://api.github.com/repos/huggingface/transformers/issues/41513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41513/comments | https://api.github.com/repos/huggingface/transformers/issues/41513/events | https://github.com/huggingface/transformers/pull/41513 | 3,502,993,717 | PR_kwDOCUB6oc6tGKkr | 41,513 | Remove references to AutoModelForVision2Seq | {
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Fixes #41509 | {
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https://api.github.com/repos/huggingface/transformers/issues/41512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41512/comments | https://api.github.com/repos/huggingface/transformers/issues/41512/events | https://github.com/huggingface/transformers/pull/41512 | 3,502,706,946 | PR_kwDOCUB6oc6tFLhZ | 41,512 | Remove outdated flags | {
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Those features disappeared recently, but those models were added in the middle so they still have the flags | {
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https://api.github.com/repos/huggingface/transformers/issues/41511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41511/comments | https://api.github.com/repos/huggingface/transformers/issues/41511/events | https://github.com/huggingface/transformers/pull/41511 | 3,502,609,986 | PR_kwDOCUB6oc6tE2Kn | 41,511 | [don't merge yet] Remove some custom datasets defined in codebase | {
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It should have been gone long long time ago ...
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https://api.github.com/repos/huggingface/transformers/issues/41510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41510/comments | https://api.github.com/repos/huggingface/transformers/issues/41510/events | https://github.com/huggingface/transformers/pull/41510 | 3,502,490,958 | PR_kwDOCUB6oc6tEb_S | 41,510 | Fix detectron2 import | {
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Detectron2 does not uninstall correctly for some reason (probably the setup as the lib needs to be installed from source) so we need this cc @ydshieh | {
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https://api.github.com/repos/huggingface/transformers/issues/41509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41509/comments | https://api.github.com/repos/huggingface/transformers/issues/41509/events | https://github.com/huggingface/transformers/issues/41509 | 3,502,437,111 | I_kwDOCUB6oc7QwvL3 | 41,509 | Warning when using the "image-to-text" pipeline | {
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transformers=4.57.0
python 3.13
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [x] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give details below)
### R... | {
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https://api.github.com/repos/huggingface/transformers/issues/41508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41508/comments | https://api.github.com/repos/huggingface/transformers/issues/41508/events | https://github.com/huggingface/transformers/pull/41508 | 3,502,170,916 | PR_kwDOCUB6oc6tDV69 | 41,508 | Bump to hfh 1.0.0.rc5 to fix test | {
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"merged_at... | Should be the current failing CI.
See https://github.com/huggingface/huggingface_hub/pull/3433 for info.
(related to [internal slack thread](https://huggingface.slack.com/archives/C01NE71C4F7/p1760022191957959)) | {
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https://api.github.com/repos/huggingface/transformers/issues/41507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41507/comments | https://api.github.com/repos/huggingface/transformers/issues/41507/events | https://github.com/huggingface/transformers/pull/41507 | 3,502,138,986 | PR_kwDOCUB6oc6tDO8u | 41,507 | [kernels] rm mra kernels | {
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Removes the mra kernels, and uses kernels from the hub : https://huggingface.co/kernels-community/mra instead | {
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https://api.github.com/repos/huggingface/transformers/issues/41506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41506/comments | https://api.github.com/repos/huggingface/transformers/issues/41506/events | https://github.com/huggingface/transformers/pull/41506 | 3,502,082,825 | PR_kwDOCUB6oc6tDCyW | 41,506 | [SAM] Fix typing hints | {
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As per title
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https://api.github.com/repos/huggingface/transformers/issues/41505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41505/comments | https://api.github.com/repos/huggingface/transformers/issues/41505/events | https://github.com/huggingface/transformers/pull/41505 | 3,502,017,115 | PR_kwDOCUB6oc6tC06p | 41,505 | 🚨 [v5] `generate` delegates default cache initialization to the model | {
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See PR title.
Now that all traces of legacy caches were removed, we can trust the model to initialize its own cache! This means we no longer need to set `cache_implementation="xxx"` defaults in new models, assuming the model's forward pass defaults to the right cache class.
Also fixes ... | {
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https://api.github.com/repos/huggingface/transformers/issues/41504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41504/comments | https://api.github.com/repos/huggingface/transformers/issues/41504/events | https://github.com/huggingface/transformers/pull/41504 | 3,502,004,725 | PR_kwDOCUB6oc6tCyOc | 41,504 | Revert `local_rank` deletion and some cleaning | {
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"merged_at... | # What does this PR do?
This PR removes some bits that I forgot when removing `logging_dir`. Also, we need to keep `local_rank` as torch.distributed.launch inject `local_rank` in the script. I will deprecate at once torch removes it from their codebase + we don't support this version of pytorch which is in a super l... | {
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https://api.github.com/repos/huggingface/transformers/issues/41503 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41503/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41503/comments | https://api.github.com/repos/huggingface/transformers/issues/41503/events | https://github.com/huggingface/transformers/pull/41503 | 3,501,937,472 | PR_kwDOCUB6oc6tCkWT | 41,503 | Fix some tests | {
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This PR removes some last remnants of the old cache format, and fixes related tests. I also updated contrastive search on the hub https://huggingface.co/transformers-community/contrastive-search/discussions/3 to fix the related tests with the new format | {
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https://api.github.com/repos/huggingface/transformers/issues/41502 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41502/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41502/comments | https://api.github.com/repos/huggingface/transformers/issues/41502/events | https://github.com/huggingface/transformers/pull/41502 | 3,501,735,980 | PR_kwDOCUB6oc6tB5fn | 41,502 | :globe_with_meridians: [i18n-KO] Translated `ko-LFM2.md` to Korean | {
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"merged_at... | <!-- PR의 제목은 ":globe_with_meridians: [i18n-KO] Translated `<your_file>.md` to Korean" 으로 부탁드립니다 -->
# What does this PR do?
Translated the `lfm2.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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- `transformers` version: 4.57.0
- Platform: Linux-5.15.0-107-generic-x86_64-with-glibc2.35
- Python version: 3.12.11
- Huggingface_hub version: 0.35.3
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: MULT... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41500/comments | https://api.github.com/repos/huggingface/transformers/issues/41500/events | https://github.com/huggingface/transformers/pull/41500 | 3,501,659,884 | PR_kwDOCUB6oc6tBpiL | 41,500 | [QoL] modular conversion shows LoC saved | {
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"merged_at... | # What does this PR do?
Tiny thing. Simply print the LoC saved when doing modular conversion.
<img width="1528" height="81" alt="image" src="https://github.com/user-attachments/assets/a6bab118-5dc9-4550-991e-eb8acaa657f4" />
## Why?
Because we sometimes hesitate too much (me first). Modular isn't magic, it'... | {
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https://api.github.com/repos/huggingface/transformers/issues/41499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41499/comments | https://api.github.com/repos/huggingface/transformers/issues/41499/events | https://github.com/huggingface/transformers/pull/41499 | 3,501,646,922 | PR_kwDOCUB6oc6tBmvP | 41,499 | fix bnb model loading | {
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"merged_at... | ```python
from transformers import pipeline
pipe = pipeline("text-generation", model="hugging-quants/Meta-Llama-3.1-8B-Instruct-BNB-NF4")
```
Before this PR:
```
Traceback (most recent call last):
File "/home/jiqing/transformers/src/transformers/pipelines/base.py", line 262, in load_model
model = mode... | {
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https://api.github.com/repos/huggingface/transformers/issues/41498 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41498/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41498/comments | https://api.github.com/repos/huggingface/transformers/issues/41498/events | https://github.com/huggingface/transformers/issues/41498 | 3,501,348,442 | I_kwDOCUB6oc7QslZa | 41,498 | mamba2 mixer different outputs between fast, slow, training, and inference paths. | {
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```
- huggingface_hub version: 0.31.4
- Platform: Linux-5.15.0-140-generic-x86_64-with-glibc2.35
- Python version: 3.13.0
- Running in iPython ?: No
- Running in notebook ?: No
- Running in Google Colab ?: No
- Running in Google Colab Enterprise ?: No
- Token path ?: /home/alberttseng/.cache/huggingfac... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41497 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41497/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41497/comments | https://api.github.com/repos/huggingface/transformers/issues/41497/events | https://github.com/huggingface/transformers/pull/41497 | 3,501,186,963 | PR_kwDOCUB6oc6tAHdQ | 41,497 | Add final contribution report and training file | {
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"merged_at... | ## What does this PR do?
This pull request adds my final contribution for the Hugging Face Transformers community project.
It includes my experiment summary and the dataset used for fine-tuning a Masked Language Model (MLM).
## Who can review?
Any member of the Transformers maintainers team.
## Motivation
T... | {
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"merged_at... | # What does this PR do?
Allow catch kwarg passthrough in Trainer.hyperparameter_search(backend="optuna") in order to expose Optuna’s Study.optimize(..., catch=...) argument by popping out catch kwargs before calling Optuna's study.optimize().
This PR addresss feature request #41463 | {
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Removing the yoso kernels, and using https://huggingface.co/kernels-community/yoso instead | {
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- `transformers` version: 4.57.0
- Platform: Linux-5.15.0-144-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.5.3
- Accelerate version: 0.34.2
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accel... | null | {
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Cleans the rwkv kernel, after adding the kernel to `kernels-community` : https://huggingface.co/kernels-community/rwkv | {
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Context: finetuning a MBart model with run_translation.py
Easy fix is to set it in model.generation_config as well. Both worked outside of run_translation.py, but not setting this in run_translation.py causes validation/evaluation to fail miserably.
### Who can help?
_No response_
### Information
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This PR adds an opt-in `skip_unnecessary_grad_clip` argument to `TrainingArguments`, optimizing Trainer’s gradient clipping for better efficiency. When enabled, the Trainer computes and logs the gradient norm every step, but skips calling `clip_grad_norm_` if the norm is already below `max_gr... | null | {
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This PR fixes the `_init_weights()` method in `Qwen2_5_VLForConditionalGeneration` to safely skip int8 tensors during initialization. Previously, applying `normal_()` on int8 weights caused a RuntimeError when loading quantized models.
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"merged_at... | # Fix SmolVLM2 quantization dtype mismatch
## What does this PR do?
Fixes #41453 - SmolVLM2 cannot be used with quantization due to dtype mismatch error.
**Problem**: When loading SmolVLM2 with BitsAndBytesConfig and bfloat16, the `inputs_merger` function fails with:
```
RuntimeError: Index put requires the ... | null | {
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"merged_at... | # What does this PR do?
transformers_doc/en/training.ipynb does not import Trainer in the code block
```python
trainer = Trainer(
model=model,
args=training_args,
train_dataset=dataset["train"],
eval_dataset=dataset["test"],
compute_metrics=compute_metrics,
)
trainer.train()
```
Wh... | {
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"merged_at... | # What does this PR do?
Fixes tiny incorrect imports in `glm4v`. These are the correct classes
https://github.com/huggingface/transformers/blob/34b861abd11074fd32362b9a25c1cc582fa0b941/src/transformers/models/qwen2_vl/processing_qwen2_vl.py#L39
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"merged_at... | # Fix SmolVLM2 quantization dtype mismatch
## What does this PR do?
Fixes #41453 - SmolVLM2 cannot be used with quantization due to dtype mismatch error.
**Problem**: When loading SmolVLM2 with BitsAndBytesConfig and bfloat16, the `inputs_merger` function fails with:
```
RuntimeError: Index put requires the ... | {
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"merged_at... | # Fix SmolVLM2 quantization dtype mismatch
## What does this PR do?
Fixes #41453 - SmolVLM2 cannot be used with quantization due to dtype mismatch error.
**Problem**: When loading SmolVLM2 with BitsAndBytesConfig and bfloat16, the `inputs_merger` function fails with:
```
RuntimeError: Index put requires the ... | {
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"merged_at... | # Fix SmolVLM2 quantization dtype mismatch
## What does this PR do?
Fixes #41453 - SmolVLM2 cannot be used with quantization due to dtype mismatch error.
**Problem**: When loading SmolVLM2 with BitsAndBytesConfig and bfloat16, the `inputs_merger` function fails with:
```
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https://api.github.com/repos/huggingface/transformers/issues/41479 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41479/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41479/comments | https://api.github.com/repos/huggingface/transformers/issues/41479/events | https://github.com/huggingface/transformers/pull/41479 | 3,499,421,064 | PR_kwDOCUB6oc6s6TI5 | 41,479 | Remove SigOpt | {
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This PR removes SigOpt integration as the library is not maintained anymore by intel. Also, users who used this library had to pass a API key, so since the service is down, the API won't work at all. I disabled the tests a few months ago since they started failing and now it is better to just... | {
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"merged_at... | # Fix SmolVLM2 quantization dtype mismatch
## What does this PR do?
Fixes #41453 - SmolVLM2 cannot be used with quantization due to dtype mismatch error.
**Problem**: When loading SmolVLM2 with BitsAndBytesConfig and bfloat16, the `inputs_merger` function fails with:
```
RuntimeError: Index put requires the ... | {
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Cleaning some comments, and renaming all instances of `load_and_register_kernel` to `load_and_register_attn_kernel` since it's used only for attention kernels | {
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Require
```
if not strtobool(os.environ.get("TRUST_REMOTE_CODE", "False")):
raise ValueError(
"This part uses `pickle.load` which is insecure and will execute arbitrary code that is potentially "
"malicious. It's recommended to never unpickle data tha... | {
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Removes `DISABLE_KERNEL_MAPPING` from docker files since it's an opt in for now, and we don't use kernels by default | {
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As per title, in v5 we will start saving in the new nested format. The loading is still supported though for old-format configs
Also, we don't need an `optional_attributes` field that does not do what it is called. Since it is only `chat template`, let's just manually pop and set it. For a... | {
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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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### Describe the bug
Python 3.13.8 contains a regression in the `inspect` module that breaks PyTorch JIT script compilation when comments appear between decorators and function definitions. This makes DeBERTa-v2 and SEW-D models completely unusable on Python 3.... | {
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https://api.github.com/repos/huggingface/transformers/issues/41470 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41470/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41470/comments | https://api.github.com/repos/huggingface/transformers/issues/41470/events | https://github.com/huggingface/transformers/pull/41470 | 3,498,394,828 | PR_kwDOCUB6oc6s2zkZ | 41,470 | [kernels] Cleanup deta kernel | {
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Cleanup the `deta` kernel since it's the same as `deformable_detr` kernel cleaned here : https://github.com/huggingface/transformers/pull/36853
And do the necessary modeling changes (even though the model is deprecated) | {
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As the title says. | {
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Because `KERAS_NLP_IMPORT_ERROR` is not used. | {
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Erroring when `kernel_config` is provided without specifically setting `use_kernels` to `True` | {
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I can see the effect as the value is changed as expected from
```
(Pdb) self.backend_tokenizer.pre_tokenizer
Sequence(pretokenizers=[Split(pattern=Regex(" ?[^(\s|[.,!?…。，、।۔،])]+"), behavior=Isolated, invert=False), ByteLevel(add_prefix_space=False, trim_offsets=True, use_regex=False)])
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Flash Attention currently can’t consume the `s_aux`/learnable bias head that many architectures (e.g. GPT-OSS) rely on—see the open discussion in [Dao-AILab/flash-attention#1797](https://github.com/Dao-AILab/flash-attention/issues/1797). We’d like Transformers to expose an optional backend hook for... | null | {
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Allow `catch` kwarg passthrough in `Trainer.hyperparameter_search(backend="optuna")` in order to expose Optuna’s `Study.optimize(..., catch=...)` argument by popping out catch kwargs before calling Optuna's `study.optimize()`.
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Add support for encoder-only text classification for models like BART and T5.
### Motivation
The current sequence classifiers for BART and T5 include the full encoder-decoder. While the decoder is used to produce the sentence representation for the classification head, the following paper shows ... | null | {
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Summary:
This PR resolves the mismatch between Marian ONNX decoding and Hugging Face generate(). ONNX outputs now match PyTorch token-by-token for greedy decoding.
What changed:
- Added MarianDecoderOnnxWrapper (decoder-only) to:
1. Pass encoder_hidden_states and encoder_attention_mask at every s... | {
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- updates `add_dates.py` to also add contributor names at the top
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"merged_at... | # What does this PR do?
Adds ScatterMoE kernel support for Granite MoE models.
Started in #40365 but has significantly deviated in approach, so starting a new pull request.
## Before submitting
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTIN... | null | {
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This updates the vision contribution guide, to help external contributors merge their work faster and reduce the load on maintainers with a checklist. It is a very minimal checklist that will need to be completed with specific model implementation guides following the new API. | {
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- Transformers version: 4.57.0
- PyTorch version: 2.8.0+cu128
- Accelerate version: 1.10.1
- GPU: Nvidia RTX 3050Ti 4GB VRAM
### Steps to reproduce
1. Load HQQ 4-bit Granite model using dtype=torch.float16
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, HqqConfig
#... | null | {
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- `transformers` version: 4.57.0.dev0
- Platform: Linux-4.18.0-553.74.1.el8_10.x86_64-x86_64-with-glibc2.28
- Python version: 3.10.14
- Huggingface_hub version: 1.0.0.rc2
- Safetensors version: 0.6.2
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
-... | null | {
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When loading SmolVLM2 quantized with a BitsAndBytesConfig and in bf16 and training, I get
`RuntimeError: Index put requires the source and destination dtypes match, got BFloat16 for the destination and Float for the source.` at
```
File "lib/python3.12/site-packages/transformers/models/smolvlm/mode... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41452 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41452/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41452/comments | https://api.github.com/repos/huggingface/transformers/issues/41452/events | https://github.com/huggingface/transformers/pull/41452 | 3,495,622,741 | PR_kwDOCUB6oc6stjPO | 41,452 | Update hqq.md | {
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"merged_at... | Fixed a typo in documentation of hqq, quantization method
Documentation: @stevhliu
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Build a CI docker image with FA3.
It is available as
huggingface/transformers-all-latest-gpu:fa3
a build is trigged at [this run](https://github.com/huggingface/transformers/actions/runs/18347217144/job/52257062261)
Let's see how it ends. | null | {
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Often, attributes are not derived from model names. Modular files based on a given model are then bloated because there is a tiny change in an attribute, needing the entire thing to be rewritten. See https://github.com/huggingface/transformers/pull/41224/files here for instance.
This intro... | {
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This PR should all simple trainer tests and some deepspeed tests.
The only remaining tests to fix are deepspeed z2 grad acc tests but this is strange why it is failing ... cc @IlyasMoutawwakil maybe you have an idea as you worked on it for `HPU` | {
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As per title, finalizes the work from https://github.com/huggingface/transformers/pull/41425 and renames `past_key_value` as `past_key_values` in all files without deprecation cycle
It was a find and replace, so tests might fail 😅 | {
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from transformers import Qwen3VLMoeForConditionalGeneration
ImportError: cannot import name 'Qwen3VLMoeForConditionalGeneration' from 'transformers' | null | {
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Tests and docs need to be added before undraft | {
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As we are moving towards having a dynamic weight loader, we need to have a simple `from_pretrained` call.
This should help | {
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The current implementation simply adds the mask to the attention scores, which is correct for float masks that already contain −∞ values, but produces completely wrong logits when the mask is o... | {
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