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https://api.github.com/repos/huggingface/transformers/issues/40340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40340/comments | https://api.github.com/repos/huggingface/transformers/issues/40340/events | https://github.com/huggingface/transformers/pull/40340 | 3,341,100,849 | PR_kwDOCUB6oc6kpy1m | 40,340 | Fix AutoAWQ version check for module skipping (Fixes #39798) | {
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Fixes AutoAWQ version checking logic that was causing AttributeError when version attributes are missing, preventing legitimate users with correct versions from loading AWQ models.
Fixes #39798
## Root Cause & Solution
**Problem**: Version checking logic failed when AutoAWQ module di... | {
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As per title, moves `batch_decode, decode, model_input_names` to the Mixin so we stop duplicating the same code in all processors. Partially related to code unbloating since I am planning to modularize processors slightly in the next PR. This one is the first clean-up | {
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This PR renames all instances of `ydshieh/kosmos-2.5` to `microsoft/kosmos-2.5`.
cc @ydshieh feel free to take over this PR
To do:
- [x] add KOSMOS-2.5 chat to the docs
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Follows the recent changes | {
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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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latest main branch of transformers and pytorch 2.8
### Who can help?
@SunMarc
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
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@SunMarc @ArthurZucker
### Information
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Currently, there are still many models that do not accept loss_kwargs (such as Qwen25-VL). Therefore, this PR is proposed with reference to the gemma3 PR. Now, the training loss and grad_norm are normal.
## reference
#37208
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- Corrected a spelling mistake in the speech recognition CTC example so that inputs and labels are described as having different “lengths” instead of “lenghts,” improving clarity in the batching logic
- Fixed dtype selection in the data collators by replacing strict type(...) is int checks with isinstance(...... | {
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Keep in draft until optimum-quanto PR: [395](https://github.com/huggingface/optimum-quanto/pull/395) merged. | {
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is there any plan to add open-qwen2vl-base model?
### Open source status
- [x] The model implementation is available
- [x] The model weights are available
### Provide useful links for the implementation
_No response_ | null | {
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"merged_at... | # What does this PR do?
Reverted EfficientLoFTR RoPE computation back to inference time to allow different image sizes usage
Decorated with LRU Cache similarly to DinoV3 implementation
## Who can review?
@qubvel
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## Background on StaticCache vs DynamicCache
A static KV cache must be preallocated for the model’s maximum context window (e.g., 32k tokens), even if you only generate a few tokens. That leads to large memory pressure and wastage. A dynamic cache grows with the sequence actually in use: wit... | null | {
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- **transformers version**: 4.54.0 (fails), 4.51.3 (works)
- **Platform**: Linux-5.19.0-32-generic-x86_64-with-glibc2.35
- **Python version**: 3.12
- **Huggingface_hub version**: 0.34.4
- **Safetensors version**: 0.6.2
- **Accelerate version**: 1.10.0
- **PyTorch version**: 2.8.0
- **GPU**: NVIDIA RTX ... | {
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This PR fixes a bug in `get_relative_import_files` in `dynamic_module_utils`.
The mechanism to exclude already-found imports from the next iteration had a wrong inclusion check, as it was missing a ".py" suffix.
This means that even if an import was in `all_relative_imports`, it wasn't excl... | {
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Feature : Add mean token accuracy to Trainer
Fixes #40303
### Description
1. For the file --> src/transformers/training_args.py Added a new boolean argument to allow users to toggle the mean token accuracy computation.
2. For the file --> src/transformers/trainer.py. Added the ne... | {
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When we go beyond the chunk size in prefill or decoding with some sequences not spanning the chunk size yet, and we have batched inputs with padding, the padded sequences need some offset to start the chunk at the correct index. Fixes https://github.com/huggingface/transformers/issues/40214
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Is there a plan to add DINOv3 to AutoBackbone. At present, DINOv2 is already inside, and I think DINOv3 should be able to inherit it directly. Appreciate a lot.
### Motivation
For the convenience of use
### Your contribution
DINOv3 should be able to inherit from DINOv2 directly. | null | {
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"merged_at... | Resolves https://github.com/huggingface/transformers/pull/38441#issuecomment-3206817330
# What does this PR do?
#38441 introduced a function on the `Trainer` that calls `self.model.config`, but this only works if the trained model has a `config` parameter. This isn't always the case, especially for third parties ... | {
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"merged_at... | # What does this PR do?
This PR adds support for Ovis2.5, a multimodal vision-language model designed for native-resolution visual perception and reflective reasoning.
Ovis2.5 is released in two variants:
- [Ovis2.5-9B](https://huggingface.co/AIDC-AI/Ovis2.5-9B)
- [Ovis2.5-2B](https://huggingface.co/AIDC-AI/Ovi... | null | {
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"merged_at... | # What does this PR do?
Fixes #38224
This PR:
- Makes the explicit RoPE factor take precedence over the implicit RoPE factor
- On YaRN validation, throw warnings if it has missing/bad parameterization (related to the implicit RoPE factor) | {
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"merged_at... | # What does this PR do?
Add type hints to `import_utils.py`
Based on these [docs](https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-library-stubs-or-py-typed-marker), this change should avoid errors like:
```
infinity_emb/inference/loading_strategy.py:10: error: Skipping analyzing "transformers.ut... | {
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Transformer version: 4.55.2, TF: 2.19.0, Python: 3.11.11, Ubuntu: 24.04,
### Who can help?
@amyeroberts @qubvel
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x]... | {
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"merged_at... | Torch 2.1 is almost 2 years old now and breaks in a lot of cases, so it's time to bump the minimum torch version to 2.2.
Because we now support SDPA in all cases, this PR also removes `require_torch_sdpa` in tests, and `is_torch_sdpa_available` is now mostly a dummy function that we retain for compatibility with re... | {
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https://api.github.com/repos/huggingface/transformers/issues/40315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40315/comments | https://api.github.com/repos/huggingface/transformers/issues/40315/events | https://github.com/huggingface/transformers/pull/40315 | 3,337,881,958 | PR_kwDOCUB6oc6ke-7N | 40,315 | Remove unnecessary contiguous calls for modern torch | {
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"merged_at... | `sdpa_integration.py` calls `contiguous()` on the three attention tensors to work around a bug that was present before `torch 2.2`. However, our minimum version is now >= 2.2 anyway, so this bug should not longer be relevant, and we can remove the workaround to boost performance.
Pytorch issue link: https://github.c... | {
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This PR fixes the tests for the T5 model. I encountered some actual target device issues in `executorch` which I've tried to fix. By the looks of it, there are no regressions, but it requires a proper review.
Fixes # (issue)
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As per title, it was reported to be flaky due to excess requests in CI
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## Before submitting
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Fix CI with nightly torch + make it produce the new failed tests reports (compared to the Nvidia CI with stable torch).
See comments in `Files changed` | {
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TRL's `SFTTrainer` has a metric called `mean_token_accuracy`: https://github.com/huggingface/trl/blob/main/trl/trainer/sft_trainer.py#L1095-L1123:
```
shift_logits = outputs.logits[..., :-1, :].contiguous()
shift_labels = inputs["labels"][..., 1:].contiguous()
... | null | {
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Add `audio-text-to-text`, for models like Voxtral. https://github.com/huggingface/transformers/blob/main/utils/update_metadata.py#L71, or something like `multimodal-text-generation` works too.
@Rocketknight1
### Motivation
Needed to enable Voxtral on Optimum ET cleanly
### Your contribution
N... | null | {
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Implement a method to apply label smoothing for multi-label classification tasks
### Motivation
I tried applying label smoothing to my multi-label classification problem—given that my dataset is noisy and unbalanced, I thought it might help—but I ran into issue #40258
### Your contribution
I r... | null | {
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"merged_at... | # What does this PR do?
Allows the use of non-float32 types, such as float16, with DETR models.
## 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/huggingface/transformers/b... | {
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This PR removes the deprecated `max_size` parameter from both `ConditionalDetrImageProcessor` and `ConditionalDetrImageProcessorFast` classes.
## Fixes
Closes #37939
## Changes
- **Removed** `max_size` parameter handling from `ConditionalDetrImageProcessor.__init__`
- **Removed** `max_size` parameter ha... | null | {
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@stevhliu , pls help review, thx very much. | {
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Add Voxtral to AutoModelForSpeechSeq2Seq, needed for enabling this model in Optimum ET (specifically for the CLI).
## 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](ht... | {
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Fixes a RuntimeError when using `label_smoothing_factor > 0` with multi-label classification.
Previously, users would get a confusing error:
`RuntimeError: gather(): Expected dtype int32/int64 for index`
This PR adds a clear validation check in `LabelSmoother` that detects this incompa... | {
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"merged_at... | Fixes #40293
`cu_seqlens` preparation changed in #40060 and led to int64 casts.
cc @ArthurZucker @Cyrilvallez @sfc-gh-sbekman
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FA2 varlen forward works fine with latest release `4.55.2`, breaks with the latest `main`
torch==2.8.0+cu129
flash-attn==2.8.3
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `exam... | {
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**Describe the bug**
When using transformers==4.55.2 with TensorFlow disabled (TRANSFORMERS_NO_TF=1), the library still attempts to import TFPreTrainedModel internally, causing an ImportError even though only PyTorch is being used.
**Environment info**
-> Python version: 3.13 (Windows 11, x86_64-pc-wi... | {
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- **Paper**: [Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models](https://arxiv.org/abs/2507.08128)
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Deletes a few more traces of TF/Flax from our docs 👼 This PR required modifying the repo consistency script, so that it is okay to have undocumented TF/Flax classes.
major folders to be touched in follow-up PRs:
- `model_docs` (many TF/Flax classes documented here)
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This is required by `nat` (already depreciated) and `dinat`.
We have to pin it to a very old version to avoid `natten2dav` issue, but now we get
> ImportError: cannot import name '_device_t' from 'torch.cuda' (/usr/local/lib/python3.10/dist-packages/torch/cuda/__init__.py)
with torc... | {
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## MOSS-TTSD 🪐
[[Files and versions]](https://huggingface.co/fnlp/MOSS-TTSD-v0.5/tree/main) [[Community]](https://huggingface.co/fnlp/MOSS-TTSD-v0.5/discussions)
### Overview
MOSS-TTSD (text to spoken dialogue) is an open-source bilingual spoken dialogue synthesis model that supports bo... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/40285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40285/comments | https://api.github.com/repos/huggingface/transformers/issues/40285/events | https://github.com/huggingface/transformers/pull/40285 | 3,334,669,261 | PR_kwDOCUB6oc6kUG9m | 40,285 | Fix attention vizualizer | {
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I noticed a few models were broken with the visualizer, because it relied on `_update_causal_mask`, and we changed the interface quite a bit. I tested it, added a test for PaliGemma and Llama3.2 as well.
Also added a test to make the tool a tad more durable! | {
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not sure why, but now we get
```
{message : DeprecationWarning('builtin type SwigPyObject has no __module__ attribute'), category : 'DeprecationWarning', filename : '<frozen importlib._bootstrap>', lineno : 241, line : None}
```
which is unrelated to the test goal | {
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https://api.github.com/repos/huggingface/transformers/issues/40283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40283/comments | https://api.github.com/repos/huggingface/transformers/issues/40283/events | https://github.com/huggingface/transformers/pull/40283 | 3,334,552,595 | PR_kwDOCUB6oc6kTt8- | 40,283 | fix which routing method | {
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"merged_at... | # What does this PR do?
Fixes #40031! Tested on both TP and DP
Run output:
```python
arthur transformers fix-dp-gpt-oss ≢ ~1 cd /fsx/arthur/transformers ; /usr/bin/env /fsx/arthur/.venv/bin/python /admin/home/arthur/.vscode-server/extensions/ms-python.debugpy-2025.10.0-linux-x64/bundled/lib... | {
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https://api.github.com/repos/huggingface/transformers/issues/40282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40282/comments | https://api.github.com/repos/huggingface/transformers/issues/40282/events | https://github.com/huggingface/transformers/pull/40282 | 3,334,525,303 | PR_kwDOCUB6oc6kToGs | 40,282 | Remove deprecated functions | {
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The test utility functions for FT&JAX have been deprecated and not used. | {
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https://api.github.com/repos/huggingface/transformers/issues/40281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40281/comments | https://api.github.com/repos/huggingface/transformers/issues/40281/events | https://github.com/huggingface/transformers/pull/40281 | 3,334,460,631 | PR_kwDOCUB6oc6kTaH2 | 40,281 | Fix AttributeError in AwqQuantizer when version attribute is missing | {
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"merged_at... | ## What does this PR do?
This PR adds an explicit version check for **AutoAWQ** when using `modules_to_not_convert` (module quantization skipping).
- Module skipping requires functionality added in **AutoAWQ 0.1.8**.
- Older versions or missing installs previously caused confusing runtime errors.
- This upd... | {
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https://api.github.com/repos/huggingface/transformers/issues/40280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40280/comments | https://api.github.com/repos/huggingface/transformers/issues/40280/events | https://github.com/huggingface/transformers/pull/40280 | 3,334,318,324 | PR_kwDOCUB6oc6kS7Mj | 40,280 | Fix: Apply `get_placeholder_mask` in Ovis2 | {
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"merged_at... | # What does this PR do?
The `get_placeholder_mask` function is currently unused. I’ve updated the code so that this function is now properly utilized.
## Who can review?
@Cyrilvallez
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https://api.github.com/repos/huggingface/transformers/issues/40279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40279/comments | https://api.github.com/repos/huggingface/transformers/issues/40279/events | https://github.com/huggingface/transformers/pull/40279 | 3,334,201,997 | PR_kwDOCUB6oc6kShyW | 40,279 | Adjust ROCm test output expectations | {
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"merged_at... | # What does this PR do?
This PR corrects the expected output for ROCm devices.
## 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/blob/main/CONTRIBU... | {
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https://api.github.com/repos/huggingface/transformers/issues/40278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40278/comments | https://api.github.com/repos/huggingface/transformers/issues/40278/events | https://github.com/huggingface/transformers/issues/40278 | 3,334,069,222 | I_kwDOCUB6oc7Gudvm | 40,278 | [BUG] GPT-OSS weight dequantization discrepancy for online and offline methods | {
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For online dequantization using triton kernel, the weight is dequantized on-the-fly in the `triton _matmul_ogs` function.
Theoretically, they should produce t... | {
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https://api.github.com/repos/huggingface/transformers/issues/40277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40277/comments | https://api.github.com/repos/huggingface/transformers/issues/40277/events | https://github.com/huggingface/transformers/pull/40277 | 3,334,016,607 | PR_kwDOCUB6oc6kR5QG | 40,277 | [generate] handle support for cache classes when num enc layers != num dec layers | {
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I think this bug has been in since `EncoderDecoderCache` was added: we naively assumed that # encoder layers == # decoder layers, as we used `config.num_hidden_layers` (# encoder layers in encoder-decoder models) to instantiate both caches 👀
This PR adds the missing logic:
- we can spec... | {
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https://api.github.com/repos/huggingface/transformers/issues/40276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40276/comments | https://api.github.com/repos/huggingface/transformers/issues/40276/events | https://github.com/huggingface/transformers/pull/40276 | 3,333,923,906 | PR_kwDOCUB6oc6kRktL | 40,276 | One cache class to rule them all | {
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Now that we moved the cache logic to a per-layer approach and added DynamicSliding layer, duplicating the number of Cache classes is kind of useless, and brings a lot of unnecessary complexity.
This PR deprecates all Cache classes to keep only 3:
- DynamicCache -> each layer type is inf... | {
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"merged_at... | # What does this PR do?
This PR makes the CI for SmolVLM again: fixes the export test + adjusts the expected values for AMD.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guidelin... | {
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This PR adds an explicit version check for **AutoAWQ** when using `modules_to_not_convert` (module quantization skipping).
- Module skipping requires functionality added in **AutoAWQ 0.1.8**.
- Older versions or missing installs previously caused confusing runtime errors.
- This upd... | {
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# Add missing `id=usage` to `<hfoptions>` tag
This PR fixes a documentation issue in the LayoutLM model card by adding the missing `id=usage` option to the `<hfoptions>` tag.
This ensures correct rendering via Hugging Face doc-builder.
No code changes.
No dependencies.
Related to #... | {
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This PR adds the support of codes for the coming Seed Oss models
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Clean up recent model addition for X-Codec #38248
- Remove unnecessary inputs to config (many are actually derived from other parameters
- Make more consistent with other codecs (DAC and Encodec), as discussed in [X-Codec2 PR](#37868) with @eustlb
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Currently the attention mask is not handled correctly for RT-DETR-based models (`rt_detr`, `rt_detr_v2`, `d_fine`). The docs for `get_contrastive_denoising_training_group` say that it should return a `torch.FloatTensor` for the attention mask, but it actually returns `torch.bool`. The mask is... | {
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root@d1d4a7d93896:/workspace/upstream/transformers# transformers env
2025-08-19 16:10:36.294548: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them o... | {
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Skip some csm testcases because of CSM output recording incompatible with torch_comiple
Before:
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- `transformers` version: 4.55.0.dev0
- Platform: macOS-15.6-arm64-arm-64bit
- Python version: 3.12.2
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
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Enable ruff `PLW` and `PLE` rules, which implement warnings and errors of Pylint. | null | {
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- Platform: macOS-15.6-arm64-arm-64bit
- Python version: 3.12.2
- Huggingface_hub version: 0.34.3
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For example:
```python
from transformers import AutoProcessor
from PIL import Image
import numpy as np
model_id = ... # tested are "google/gemma-3-4b-it", "HuggingFaceM4/idefics2-8b", "HuggingFaceM4/Idefics3-8B-Llama3", "H... | {
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codes related to Flash-Attention2 judgment logic in `4.55.3` is different from `main`, `4.55.3` branch code is unavailable on Ascend NPU, `main` branch is OK
For Ascend NPU, `4.55.3` branch will go into else logic branch, and search `flash-attn` package, which will cause `ImportError` on Ascend NPU.
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Fix failures on RUN_SLOW `export_static_cache` tests introduced by https://github.com/huggingface/transformers/pull/39836. Reverts to export on token-by-token since:
1. The [generate function used for testing](https://github.com/huggingface/transformers/blob/main/src/transformers/integration... | {
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Add dynamic shapes to the ExecuTorch `text_export_static_cache` tests on [causalLM models such as Qwen](https://github.com/huggingface/transformers/blob/main/tests/models/qwen3/test_modeling_qwen3.py#L297).
Then modify the test generation function to prefill all at once [instead of sequentially](h... | null | {
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"merged_at... | Add support for LFM2-VL models.
LFM2‑VL is [Liquid AI](https://www.liquid.ai/)'s first series of multimodal models, designed to process text and images with variable resolutions. Built on the [LFM2](https://huggingface.co/collections/LiquidAI/lfm2-686d721927015b2ad73eaa38) backbone, it is optimized for low-latency ... | {
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```
OS: Linux-5.15.0-1092-azure-x86_64-with-glibc2.35
Python: 3.10.12 (main, May 27 2025, 17:12:29) [GCC 11.4.0]
PyTorch: 2.0.1+cu118
TensorFlow: 2.14.1
transformers: 4.36.1
```
### Who can help?
@zach-huggingface @SunMarc
### Information
- [ ] The official example scripts
- [x] My own modified sc... | {
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"merged_at... | This PR fixes the slicing of the `k_proj` weight and bias during checkpoint conversion for D-FINE.
Fixes #40253
**Changes:**
* Corrected `k_proj.weight` from `in_proj_weight[256:384, :]` → `in_proj_weight[128:256, :]`.
* Corrected `k_proj.bias` from `in_proj_bias[256:384]` → `in_proj_bias[128:256]`.
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- `transformers` version: 4.55.2
- Platform: Linux-4.18.0-553.16.1.el8_10.cloud.0.1.x86_64-x86_64-with-glibc2.28
- Python version: 3.12.10
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: 1.10.0
- Accelerate config: not found
- DeepSpeed version: not installed
- P... | {
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"merged_at... | # What does this PR do?
This PR fixes a path issue introduced in https://github.com/huggingface/transformers/pull/39768.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guidelin... | {
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I was trying to train D-FINE on a custom dataset, but for some reason I could never get it to work with huggingface's implementation, while with the original repo it was training just fine. I went over the two implementation layer by layer, and the self-attention weights in the decoder layer seem to be... | {
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"merged_at... | Allow for a proper override of vision_input_type in hf fast image processor, otherwise we need to resort to manually setting the attribute.
# What does this PR do?
Allow for a proper override of vision_input_type in hf fast image processor, otherwise we need to resort to manually setting the attribute.
Fixes #... | {
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- `transformers` version: 4.55.2
- Platform: Linux-5.10.0-35-cloud-amd64-x86_64-with-glibc2.31
- Python version: 3.13.5
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: 1.10.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (acc... | {
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"merged_at... | # What does this PR do?
#36979
Updated the BertGeneration model card to follow the new standardized format including:
- New consistent layout with badges
- Friendly description written for accessibility
- Usage examples with Pipeline, AutoModel, and transformers-cli
- Quantization example with BitsAndBytesC... | {
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# What does this PR do?
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ModuleNotFoundError: Could not import module 'MT5ForConditionalGeneration'. Are this object's requirements defined correctly?
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examp... | {
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master
### 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)
### Reproduction
When elastic... | {
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The[ official demo for eloftr](https://huggingface.co/zju-community/matchanything_eloftr) does not work with the current transformers because `EfficientLoFTRForKeypointMatching` is not instantiated when the model is called. This fixes the problem by adding it to the model mapping.
## Befor... | null | {
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Added new input to the workflow to enable this functionality [here](https://github.com/huggingface/hf-workflows/pull/43). | {
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- `transformers` version: 4.55.2
- Platform: macOS-15.6-arm64-arm-64bit-Mach-O
- Python version: 3.13.3
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.7.1 (... | {
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Fixes https://github.com/huggingface/transformers/issues/38258 and allows users to overwrite kwargs from subconfigs in the same way as we allow to overwrite in the main config. See below code for what has changed
```python
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