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https://api.github.com/repos/huggingface/transformers/issues/40139 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40139/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40139/comments | https://api.github.com/repos/huggingface/transformers/issues/40139/events | https://github.com/huggingface/transformers/pull/40139 | 3,319,311,819 | PR_kwDOCUB6oc6jiAtY | 40,139 | gpt oss is important | {
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Make sure we run slow test for it | {
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https://api.github.com/repos/huggingface/transformers/issues/40137 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40137/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40137/comments | https://api.github.com/repos/huggingface/transformers/issues/40137/events | https://github.com/huggingface/transformers/pull/40137 | 3,319,009,740 | PR_kwDOCUB6oc6jhBjD | 40,137 | 🚨🚨 Switch default compilation to fullgraph=False | {
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As we sometimes talked offline. Graph breaks are in general not a problem, and requiring fullgraph=True is too restrictive!
Would also allow us to use `torch.compiler.disable` where needed sometimes, to skip bigger regions which are problematic and not worth it | {
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## Description
We've observed a significant accuracy regression when evaluating Qwen2.5-VL-7B-Instruct on the MMMU Literature benchmark after upgrading from transformers 4.53.3 to 4.54.0. The accuracy drops from **86.67%** to **73.33%**, representing a **13.34 percentage point decrease** (~15.4% relat... | {
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Follow-up to #40039 -- on models where the hub checkpoint specifies `cache_implementation="hybrid"` (static sliding window hybrid cache), UNSETS this value. This will make the model use the dynamic sliding window layers by default.
Any user-defined `cache_implementation="hybrid"` will appl... | {
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https://api.github.com/repos/huggingface/transformers/issues/40134 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40134/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40134/comments | https://api.github.com/repos/huggingface/transformers/issues/40134/events | https://github.com/huggingface/transformers/pull/40134 | 3,318,865,233 | PR_kwDOCUB6oc6jgipf | 40,134 | Create self-scheduled-amd-mi355-caller.yml | {
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Starting with vllm, but also towards better training
TODO:
- DBRX, GPTSAN, ERNIE4.5, Jamba (ça été fait par ia je crois), Minmax pareil, NllbMoe, PhiMoe (AI based), switch et vitpose)
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https://api.github.com/repos/huggingface/transformers/issues/40130 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40130/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40130/comments | https://api.github.com/repos/huggingface/transformers/issues/40130/events | https://github.com/huggingface/transformers/pull/40130 | 3,318,106,120 | PR_kwDOCUB6oc6jd-nZ | 40,130 | fix error vocab_size at Qwen2_5_VLForConditionalGeneration loss_function | {
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"merged_at... | # Update LayoutLM Model Card Documentation
This PR updates the LayoutLM model card documentation according to the standardized format as issued in https://github.com/huggingface/transformers/issues/36979. The changes improve the documentation's clarity and usability while maintaining consistency with other model car... | {
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This PR adds `chat_template` as an extra dependency.
`jinja2` is required by [chat_template_utils.py](https://github.com/huggingface/transformers/blob/060b86e21d0460fbd2b6e642d0fbc8f19f679039/src/transformers/utils/chat_template_utils.py#L393C1-L394C1), but it's not declared in setup.py.
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"merged_at... | # What does this PR do?
Follow-up to #38441: the added special token handling caused crashes when the EOS token is undefined/None in an existing `generation_config`
This PR also:
- improves the thrown warning
- updates the eli5 dataset in the CLM task (whose code I've used to debug this change -- the old datase... | {
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https://github.com/huggingface/transformers/blob/89c46b648d82b670cc7286a25fa64d2d92770418/src/transformers/models/qwen3/configuration_qwen3.py#L210C9-L216C14
```
if self.layer_types is None:
self.layer_types = [
"sliding_attention"
if self.sliding_window is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/40125 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40125/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40125/comments | https://api.github.com/repos/huggingface/transformers/issues/40125/events | https://github.com/huggingface/transformers/issues/40125 | 3,317,320,524 | I_kwDOCUB6oc7FuktM | 40,125 | Truncation 'only_second' does not work for multimodal chat templates. | {
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Python 3.9.21
transformers 4.51.3
### Who can help?
@amyeroberts (vision) @ArthurZucker (tokenizers)
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task o... | {
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https://api.github.com/repos/huggingface/transformers/issues/40124 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40124/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40124/comments | https://api.github.com/repos/huggingface/transformers/issues/40124/events | https://github.com/huggingface/transformers/pull/40124 | 3,317,192,039 | PR_kwDOCUB6oc6ja2vd | 40,124 | Ensure testing MobileNetV2 image processor for both slow and fast | {
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"merged_at... | ### What does this PR do?
- Remove test skipping for importing `is_torch_available & is_vision_available`, because test result without it doesn't make sense.
- Incline (run directly) unittest for `MobileNetV2ImageProcessor` and `MobileNetV2ImageProcessorFast`
- Related Issue/PR: https://github.com/huggingface/tra... | {
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https://api.github.com/repos/huggingface/transformers/issues/40123 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40123/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40123/comments | https://api.github.com/repos/huggingface/transformers/issues/40123/events | https://github.com/huggingface/transformers/pull/40123 | 3,316,821,929 | PR_kwDOCUB6oc6jZo-f | 40,123 | Lazily import torchao Int4WeightOnlyConfig to avoid side effects | {
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"merged_at... | Previously, `modeling_utils` imported `torchao.quantization.Int4WeightOnlyConfig` at module load time if `torchao` was available.
On CPU-only and Mac/Windows systems, this triggered a `torch.distributed.elastic` redirect [warning](https://github.com/pytorch/pytorch/blob/ba47821f524eee50a214ed39fa2e7765d54aabf4/torc... | null | {
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transformers == 4.28
python == 3.9
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/40120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40120/comments | https://api.github.com/repos/huggingface/transformers/issues/40120/events | https://github.com/huggingface/transformers/pull/40120 | 3,316,449,643 | PR_kwDOCUB6oc6jYaL_ | 40,120 | fix bart issue w/ static cache | {
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when using `BART` w/ static cache using below code:
```
torch_dtype = torch.float16
device_map = "cpu"
model_kwargs = dict(torch_dtype=torch_dtype, device_map=device_map)
model_id = "sshleifer/distilbart-cnn-12-6"
tokenizer = AutoTokenizer.from_pretrained(model_id)
generator = ... | {
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https://api.github.com/repos/huggingface/transformers/issues/40119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40119/comments | https://api.github.com/repos/huggingface/transformers/issues/40119/events | https://github.com/huggingface/transformers/pull/40119 | 3,315,988,397 | PR_kwDOCUB6oc6jW1Mh | 40,119 | Replace `self.tokenizer` by `self.processing_class` | {
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https://api.github.com/repos/huggingface/transformers/issues/40118 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40118/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40118/comments | https://api.github.com/repos/huggingface/transformers/issues/40118/events | https://github.com/huggingface/transformers/issues/40118 | 3,315,905,308 | I_kwDOCUB6oc7FpLMc | 40,118 | MT5: UnboundLocalError | {
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- Platform: Linux-5.15.0-140-generic-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.34.4
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In the following section: https://github.com/huggingface/transformers/blob/a1a4fcd03e3455772415e6400fee91f3159e7ac5/src/transformers/models/idefics3/modeling_idefics3.py#L143-L160
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- `transformers` version: 4.56.0.dev0
- Platform: Linux-6.8.0-1033-gcp-x86_64-with-glibc2.35
- Python version: 3.12.9
- Huggingface_hub version: 0.34.4
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https://api.github.com/repos/huggingface/transformers/issues/40115 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40115/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40115/comments | https://api.github.com/repos/huggingface/transformers/issues/40115/events | https://github.com/huggingface/transformers/pull/40115 | 3,315,300,899 | PR_kwDOCUB6oc6jUqFL | 40,115 | [layer_types] update layer_types with conv | {
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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/40114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40114/comments | https://api.github.com/repos/huggingface/transformers/issues/40114/events | https://github.com/huggingface/transformers/pull/40114 | 3,315,134,963 | PR_kwDOCUB6oc6jUHAz | 40,114 | Fix torch.export compatibility for Mixtral MoE models | {
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"merged_at... | - Replace data-dependent .nonzero() operation with static expert loop
- Resolves GuardOnDataDependentSymNode error during torch.export
- Maintains identical functionality while enabling export compatibility
- Fixes issue introduced in PR #32429
- Add tests for torch.export compatibility
# What does this PR do?
... | {
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https://api.github.com/repos/huggingface/transformers/issues/40113 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40113/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40113/comments | https://api.github.com/repos/huggingface/transformers/issues/40113/events | https://github.com/huggingface/transformers/pull/40113 | 3,315,070,022 | PR_kwDOCUB6oc6jT5Ta | 40,113 | changed xLSTMRMSNorm to RMSNorm | {
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"merged_at... | xLSTMRMSNorm doesn't exist and hence gives an ImportError, without it users can't test NX-AI/xLSTM-7b.
cc @Cyrilvallez | {
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This PR adds:
- a warning about cors being not super safe (when it is enabled)
- a warning about downstream apps might needing CORS (when it is NOT enabled). Related to https://github.com/huggingface/transformers/issues/39932
<img width="731" height="111" alt="Screenshot 2025-08-12 at 17... | {
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Hi team, in this:
https://github.com/huggingface/transformers/blob/main/src/transformers/models/vision_encoder_decoder/modeling_vision_encoder_decoder.py#L550
The `decoder_input_ids` is already shifted right w.r.t the labels. but then in the ForCausalLMLoss loss, the labels is also shifted left, whic... | null | {
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I have tried many things, but I am not ... | {
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cc @Cyrilvallez
Fixes #40099 | {
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Fix various Pylint warnings about unused comments, bad indentation and imports. | {
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https://api.github.com/repos/huggingface/transformers/issues/40106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40106/comments | https://api.github.com/repos/huggingface/transformers/issues/40106/events | https://github.com/huggingface/transformers/pull/40106 | 3,314,160,480 | PR_kwDOCUB6oc6jQ0hF | 40,106 | Re-apply make style | {
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https://api.github.com/repos/huggingface/transformers/issues/40105 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40105/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40105/comments | https://api.github.com/repos/huggingface/transformers/issues/40105/events | https://github.com/huggingface/transformers/issues/40105 | 3,314,130,303 | I_kwDOCUB6oc7FiZ1_ | 40,105 | Docs: Add missing `eli5` dataset example in Language Modeling guide | {
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https://huggingface.co/docs/transformers/tasks/language_modeling#load-eli5-dataset
**Description**
In the "Language Modeling" guide, the example shows:
```python
from datasets import load_dataset
dataset = load_dataset("eli5_category", split="train") | {
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https://api.github.com/repos/huggingface/transformers/issues/40104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40104/comments | https://api.github.com/repos/huggingface/transformers/issues/40104/events | https://github.com/huggingface/transformers/issues/40104 | 3,313,719,587 | I_kwDOCUB6oc7Fg1kj | 40,104 | router_logits not getting populated on output_router_logits=True for GptOssForCausalLM | {
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On kaggle - https://www.kaggle.com/code/kaggleqrdl/router-logits-visualization?scriptVersionId=255623848 see https://cookbook.openai.com/articles/gpt-oss/run-transformers and https://github.com/huggingface/transformers/pull/39940
- `transformers` version: 4.56.0.dev0
- Platform: Linux-6.6.56+-x86_64-w... | {
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https://api.github.com/repos/huggingface/transformers/issues/40103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40103/comments | https://api.github.com/repos/huggingface/transformers/issues/40103/events | https://github.com/huggingface/transformers/pull/40103 | 3,313,672,804 | PR_kwDOCUB6oc6jPKOu | 40,103 | [Cohere2Vision] remove unused arg | {
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Cohere2 Vision doesn't use image patches anymore, but the arg was not removed. The image processor returns `num_patches` which is always popped when processing
We need to remove unused args to make sure vLLM backend works, otherwise an error is raised about missing required args
cc @hm... | {
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Translated the `auto_docstring.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [X] Check for missing / redundant translations (번역 누락/중복 검사)
- [X] Grammar Check (맞춤법 검... | null | {
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[PLDR-LLM](https://huggingface.co/papers/2410.16703) (Large Language Model from Power Law Decoder Representations) is a new foundational model that leverages non-linear and linear transformations through [Power Law Graph Attention](https://huggingface.co/papers/2107.02039) mechanism to generate w... | {
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As per the title. | {
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- `transformers` version: 4.56.0.dev0
- Platform: Linux-6.14.0-27-generic-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.34.3
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- Platform: Linux-6.14.0-27-generic-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.34.3
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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# What does this PR do?
Adds lightweight type hints to `scripts/check_tokenizers.py`:
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- Update the _initialize_missing_keys method to handle both missing and mismatched keys
- Ensure proper initialization of weights when loading pretrained models
Fixes #40001
@ArthurZucker
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"merged_at... | Skip weight initialization for int8/uint8 quantized weights in _init_weights method.
The normal_() function only works with floating-point tensors, but quantized
models contain int8/uint8 weights which should preserve their loaded values.
Fixes #39366
- Add dtype check before calling normal_() on weig... | null | {
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- torch @ https://download.pytorch.org/whl/cu124/torch-2.6.0%2Bcu124-cp310-cp310-linux_x86_64.whl
- torchaudio @ https://download.pytorch.org/whl/cu124/torchaudio-2.6.0%2Bcu124-cp310-cp310-linux_x86_64.whl
- torchvision @ https://download.pytorch.org/whl/cu124/torchvision-0.21.0%2Bcu124-cp310-cp310-lin... | {
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transformers version 4.55.0
Python version 3.11.13
Google Colab notebook
### Who can help?
@ArthurZucker and @itazap
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [... | {
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"merged_at... | `custom_generate` already allows a Hub/local repository to override `generate()` with a custom implementation.
This PR extends the feature to also accept **custom decoding functions** directly.
When a function is provided, GenerationMixin.generate still handles all input preparation and configuration, and the funct... | {
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This PR fix the issue #39835 where a `RuntimeError` was triggered due to mixing tensor and Dtensor. This is due to `_prepare_output_fn` being force to returns a tensor instead of Dtensor.
```
@staticmethod
def _prepare_output_fn(output_layouts, use_local_output, mod, outputs, dev... | {
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Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.55.0
- Platform: Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.39
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issue #336979 -> model card for nllb
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transforme... | {
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N/A
### Who can help?
@SunMarc
### 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)
### Reproduction
N/A
### Expected b... | {
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- `transformers` version: 4.55.0
- Platform: Windows-10-10.0.26100-SP0
- Python version: 3.10.7
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.7.1+cp... | {
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https://api.github.com/repos/huggingface/transformers/issues/40070 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40070/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40070/comments | https://api.github.com/repos/huggingface/transformers/issues/40070/events | https://github.com/huggingface/transformers/issues/40070 | 3,307,563,945 | I_kwDOCUB6oc7FJWup | 40,070 | Transformer GGUF support philosophy / naive question | {
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GGUF main idea is to be a format that allows to run big models on machines with limited capabilities.
With this in mind... | {
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https://api.github.com/repos/huggingface/transformers/issues/40069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40069/comments | https://api.github.com/repos/huggingface/transformers/issues/40069/events | https://github.com/huggingface/transformers/pull/40069 | 3,307,441,804 | PR_kwDOCUB6oc6i7Qa4 | 40,069 | Remove _prepare_flash_attention_from_position_ids | {
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This function is deprecated and none of its use can be found. | {
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Add missing arguments to constructors.
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- Platform: Windows-11-10.0.26100-SP0
- Python version: 3.12.10
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
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Use RMSNorm from PyTorch 2.3+.
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https://api.github.com/repos/huggingface/transformers/issues/40065 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40065/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40065/comments | https://api.github.com/repos/huggingface/transformers/issues/40065/events | https://github.com/huggingface/transformers/pull/40065 | 3,307,288,295 | PR_kwDOCUB6oc6i60kj | 40,065 | Delay float32 upcast in ForCausalLMLoss after filtering ignore_index | {
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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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# What does this PR do?
Translated the `videomae.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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- `transformers` version: 4.55.0
- Platform: Linux-6.8.0-60-generic-x86_64-with-glibc2.35
- Python version: 3.13.6
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.6.1
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: 0.17.4
- PyTorch version (accelerator?): 2... | {
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https://api.github.com/repos/huggingface/transformers/issues/40061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40061/comments | https://api.github.com/repos/huggingface/transformers/issues/40061/events | https://github.com/huggingface/transformers/pull/40061 | 3,307,222,889 | PR_kwDOCUB6oc6i6pn8 | 40,061 | 🌐 [i18n-KO] Translated `vitdet.md` to Korean | {
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# What does this PR do?
Translated the ``vitdet.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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- [x] Check for ... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/40060 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40060/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40060/comments | https://api.github.com/repos/huggingface/transformers/issues/40060/events | https://github.com/huggingface/transformers/pull/40060 | 3,307,198,145 | PR_kwDOCUB6oc6i6llt | 40,060 | Avoid CUDA stream sync | {
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Remove more synchronizing CUDA operations reported. | {
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https://api.github.com/repos/huggingface/transformers/issues/40059 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40059/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40059/comments | https://api.github.com/repos/huggingface/transformers/issues/40059/events | https://github.com/huggingface/transformers/pull/40059 | 3,306,816,972 | PR_kwDOCUB6oc6i5eF9 | 40,059 | Fix Inefficient GELU implementation in GPT2 | {
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https://api.github.com/repos/huggingface/transformers/issues/40058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40058/comments | https://api.github.com/repos/huggingface/transformers/issues/40058/events | https://github.com/huggingface/transformers/pull/40058 | 3,306,816,053 | PR_kwDOCUB6oc6i5d7v | 40,058 | GGUF Qwen2VL | {
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https://api.github.com/repos/huggingface/transformers/issues/40057 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40057/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40057/comments | https://api.github.com/repos/huggingface/transformers/issues/40057/events | https://github.com/huggingface/transformers/pull/40057 | 3,306,605,923 | PR_kwDOCUB6oc6i45jS | 40,057 | updated visualBERT modelcard | {
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https://api.github.com/repos/huggingface/transformers/issues/40056 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40056/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40056/comments | https://api.github.com/repos/huggingface/transformers/issues/40056/events | https://github.com/huggingface/transformers/issues/40056 | 3,306,568,152 | I_kwDOCUB6oc7FFjnY | 40,056 | Question: How to write a custome tokenizer form scratch | {
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I have a problem of multilevel transcription: the model takes an input utterance and output... | {
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https://api.github.com/repos/huggingface/transformers/issues/40055 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40055/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40055/comments | https://api.github.com/repos/huggingface/transformers/issues/40055/events | https://github.com/huggingface/transformers/pull/40055 | 3,306,160,513 | PR_kwDOCUB6oc6i3uL1 | 40,055 | Auto-log parallelism info to wandb.config using HF Accelerate | {
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This PR adds parallelism info non intrusively to `WandbCallback` so that, **when Hugging Face Accelerate is in use**, the callback automatically logs the parallelism sizes to `wandb.config` at train start.
### Why
Users frequently want their distributed setup (e.g., `tp_size`, `dp_replicate_size`) with We... | null | {
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transcformers version: 4.55.0
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_No response_
### Information
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- `transformers` version: 4.54.1
- Platform: Linux-5.15.0-131-generic-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
- Accelerate version: 1.10.0
- Accelerate config: not found
- DeepSpeed version: 0.17.4
- PyTorch version (accelerator?)... | {
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"merged_at... | Updated bartpho.md
# What does this PR do?
Fixes # (issue)
Standardize BARTpho model card
## 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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Support text classification with GPT-OSS models
### Motivation
Let GPT-OSS models dealing with classification problems more efficiently
### Your contribution
PR submission | {
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The new [Qwen Image](https://huggingface.co/Qwen/Qwen-Image) uses Qwen 2.5 VL 7B as a text encoder. Given memory constraints, some users may want to load a quantized image model and text encoder for a diffusers QwenImagePipeline, for example:
```
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## Who can review?
@stevhliu
## Notes
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transformers 4.54.0+
### Who can help?
@ArthurZucker
### Information
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- [ ] My own modified scripts
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- [ ] My own task or dataset (give details below)
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This PR fixes a small bug in the conditional in `modeling_marian.py`. In issue #39542, the issue raiser noticed that both `input_ids` and `input_embeds` were none, but that got filtered into the conditional check for both being not None.
Related to but does not fix #39542
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"merged_at... | Reverts huggingface/transformers#40037
There were some edge case errors not detected until a full run was triggered
https://github.com/huggingface/transformers/actions/runs/16833364235/job/47693598035
```
File "/home/runner/work/transformers/transformers/utils/notification_service.py", line 206, in time
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"merged_at... | # What does this PR do?
Add GptOssForSequenceClassification for GPT-OSS models following generic practice for #40050
Testing:
- Tested with single-node (8 A100) and multi-node (16 A100) options, loss curve and AUC are all expected with no issue.
- All testes passed
- `make fixup` passed
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Currently, GGUF versions of GLM-4.5 series MoE models raises "GGUF model with architecture glm4moe is not supported yet" error.
### Motivation
GLM-4.5 series MoE GGUF models will successfully run. That is a fantastic model ...
### Your contribution
nope ... | null | {
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- `transformers` version: 4.55.0
- Platform: Linux-6.8.0-53-generic-x86_64-with-glibc2.39
- Python version: 3.13.5
- 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 (acce... | {
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As per the title. To avoid wasting memory for models with sliding window. As I don't want to reintroduce static hybrid caches by default to avoid all the pitfalls of automatic compilation, but don't want to waste that memory, this is definitely the way to go.
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