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Testing the live preview, please ignore this
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Fixes behavior introduced in 4.52 VLM refacto #37033 that renames VLM model weights but forgot about adapters.
(Theoretically, it seems the problem was just the non-propagation of keymapping to peft but this is made a lot more salient by recent big changes in VLM naming, which deprecates all... | {
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# What does this PR do?
Fixes the interpolation method in ViT image processors to match the original Google ViT implementation. Changes the default resampling from BILINEAR to BICUBIC interpolation.
## Implementation Notes
This implementation follows @NielsRogge's comments from #28180:
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Companion report to #38609 to modify the docstring within the code for Wav2Vec2Processor and Wav2Vec2ProcessorWithLM
### Who can help?
@eustlb
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
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This PR updates the RagRetriever Class retrieve function signature so that it shows the correct returned items.
This PR also removes the requirement of the faiss dependency when using the RagRetriever Class.
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https://api.github.com/repos/huggingface/transformers/issues/38623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38623/comments | https://api.github.com/repos/huggingface/transformers/issues/38623/events | https://github.com/huggingface/transformers/issues/38623 | 3,122,828,964 | I_kwDOCUB6oc66Ipak | 38,623 | RagRetriever retrieve function mismatch in signature and return, unneeded requirement for faiss | {
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When creating a custom RagRetriever based on the RagRetriever Class it became apparent when using linting tools that the signature and returned items in the [retrieve](https://github.com/huggingface/transformers/blob/main/src/transformers/models/rag/retrieval_rag.py#L560-L580) function do not match.
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https://api.github.com/repos/huggingface/transformers/issues/38622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38622/comments | https://api.github.com/repos/huggingface/transformers/issues/38622/events | https://github.com/huggingface/transformers/pull/38622 | 3,122,802,429 | PR_kwDOCUB6oc6ZSROH | 38,622 | [AutoModelForMaskGeneration] Remove duplicate code | {
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"merged_at... | # What does this PR do?
This PR fixes a bug as MODEL_FOR_MASK_GENERATION_MAPPING_NAMES was defined twice.
Reported here: https://github.com/NielsRogge/Transformers-Tutorials/issues/497 | {
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https://api.github.com/repos/huggingface/transformers/issues/38621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38621/comments | https://api.github.com/repos/huggingface/transformers/issues/38621/events | https://github.com/huggingface/transformers/pull/38621 | 3,122,480,714 | PR_kwDOCUB6oc6ZRKY9 | 38,621 | Add Arcee model support | {
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"merged_at... | ## Summary
This PR adds support for the Arcee model architecture, laying the groundwork for the upcoming Arcee Foundation Model (AFM) release. Arcee is a decoder-only transformer model based on the Llama architecture with a key modification: it uses ReLU² (ReLU-squared) activation in the MLP blocks instead of SiLU, fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/38620 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38620/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38620/comments | https://api.github.com/repos/huggingface/transformers/issues/38620/events | https://github.com/huggingface/transformers/pull/38620 | 3,122,379,192 | PR_kwDOCUB6oc6ZQzjl | 38,620 | Use torch 2.7.1 on daily CI | {
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I separate this from #37856 as that one is prepared 1 month ago + I would merge this PR on this Saturday evening instead. | {
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https://api.github.com/repos/huggingface/transformers/issues/38618 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38618/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38618/comments | https://api.github.com/repos/huggingface/transformers/issues/38618/events | https://github.com/huggingface/transformers/pull/38618 | 3,122,156,010 | PR_kwDOCUB6oc6ZQBgC | 38,618 | Fix typo in LLaVa documentation | {
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"merged_at... | In exactly one section, LlavaImageProcessor had documentation errors, which threw the entire thing off.
# What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it'... | {
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https://api.github.com/repos/huggingface/transformers/issues/38617 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38617/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38617/comments | https://api.github.com/repos/huggingface/transformers/issues/38617/events | https://github.com/huggingface/transformers/issues/38617 | 3,121,797,099 | I_kwDOCUB6oc66Etfr | 38,617 | ImportError: cannot import name 'layer_type_validation' from 'transformers.configuration_utils' | {
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] | closed | false | null | [] | null | [] | 2025-06-05T16:09:03 | 2025-06-15T07:56:37 | 2025-06-15T07:56:37 | NONE | null | null | null | null | ### System Info
env:
Name: transformers
Version: 4.53.0.dev0
whe i called hte code bellowed:
`model = AutoModelForImageTextToText.from_pretrained(model_id, local_files_only=True, **model_kwargs)`
the model_id is medgemma model that from https://huggingface.co/models?other=medgemma.
the ImportError: cannot import nam... | {
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https://api.github.com/repos/huggingface/transformers/issues/38616 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38616/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38616/comments | https://api.github.com/repos/huggingface/transformers/issues/38616/events | https://github.com/huggingface/transformers/pull/38616 | 3,121,775,743 | PR_kwDOCUB6oc6ZOs8r | 38,616 | Remove `isort` from dependencies | {
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"merged_at... | # What does this PR do?
`isort` is no longer being used anywhere, it is replaced with ruff. So, I think it can be removed from dependencies.
References: https://docs.astral.sh/ruff/linter/#action-comments
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if t... | {
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https://api.github.com/repos/huggingface/transformers/issues/38615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38615/comments | https://api.github.com/repos/huggingface/transformers/issues/38615/events | https://github.com/huggingface/transformers/pull/38615 | 3,121,595,827 | PR_kwDOCUB6oc6ZOFdg | 38,615 | Don't run `AriaForConditionalGenerationModelTest` on CircleCI | {
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"merged_at... | # What does this PR do?
Let's just simply get rid of this model tests on CircleCI. Cause the slowest job to finish in `13m 25s`.
We still have it on dailly CI
```bash
148.80s call tests/... | {
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https://api.github.com/repos/huggingface/transformers/issues/38614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38614/comments | https://api.github.com/repos/huggingface/transformers/issues/38614/events | https://github.com/huggingface/transformers/pull/38614 | 3,121,456,467 | PR_kwDOCUB6oc6ZNozT | 38,614 | Fix mask generation auto mapping for Sam/SamHQ | {
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Ubuntu 24.04.2 LTS, CPython 3.11.12, transformers==4.53.0.dev0
@stevhliu I'm trying to contribute to the model cards. I forked the latest transformers and I ran the scripts, from the home page and then I want to the documents page. I'm having issues with the doc builder. I keep receiving the errors... | {
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They never pass on T4 runners ... | {
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"merged_at... | # What does this PR do?
As discussed in the issue, I've added a note about the sigopt project being in public archive mode. Could you please review?
Fixes #38593
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
... | {
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"as_target_processor()" is to be deprecated since using it will throw a warning:
```
UserWarning: `as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your labels by using the argument `text` of the regular `__call__` method (either in the same call as your aud... | {
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"merged_at... | Hey team! Fixed errors in `test_modeling_mllama.py` / `test_modeling_video_llava.py` / `test_processing_common.py`
`dirrectly` - `directly` x3
`successfull` - `successful`
`suports` - `supports` | {
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(See ##27906 too)
`torch.nn.init.trunc_normal_` could produce values like `+/- 2.0` even if `mean=0.0` and `std=1e-10`. This causes `test_initialization` flaky if a model has `_init_weights` using `torch.nn.init.trunc_normal_`.
This PR improves the test by checking the 95% of the eleme... | {
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"merged_at... | Bumps [torch](https://github.com/pytorch/pytorch) from 2.6.0 to 2.7.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/pytorch/pytorch/releases">torch's releases</a>.</em></p>
<blockquote>
<h2>PyTorch 2.7.1 Release, bug fix release</h2>
<p>This release is meant to fix the foll... | {
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Pandas is released on 2025/06/05. CircleCI runners since to have issue to build with this.
See
https://app.circleci.com/pipelines/github/huggingface/transformers/132946/workflows/40871601-29fe-4e2b-9445-20f850a1b43c/jobs/1766605 | {
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https://api.github.com/repos/huggingface/transformers/issues/38604 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38604/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38604/comments | https://api.github.com/repos/huggingface/transformers/issues/38604/events | https://github.com/huggingface/transformers/pull/38604 | 3,120,223,209 | PR_kwDOCUB6oc6ZJpAy | 38,604 | Update Mamba configuration to enable bias by default in the mixer blo… | {
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As per title, now all vision models have their tests back. BLIP skipped intentionally due to complex manipulations in the custom generation. The model is very old and not worth fixing/refactoring | {
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I got assertion error while saving CodeT5+ 2B:
File "/root/anaconda3/envs/train-model/lib/python3.11/site-packages/transformers/trainer.py", line 2245, in train
return inner_training_loop(
^^^^^^^^^^^^^^^^^^^^
File "/root/anaconda3/envs/train-model/lib/python3.11/site-packages/transformers/trainer.py",... | {
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https://api.github.com/repos/huggingface/transformers/issues/38601 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38601/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38601/comments | https://api.github.com/repos/huggingface/transformers/issues/38601/events | https://github.com/huggingface/transformers/issues/38601 | 3,119,776,156 | I_kwDOCUB6oc659AGc | 38,601 | Contribute to Transformers on windows natively without WSL | {
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### System info
OS: Windows 11
Python: 3.13.3 and 3.10
Git: 2.49.0
CMake: 4.0.2
Msys64: Pacman v6.1.0 - libalpm v14.0.0
Pip: 25.1.1
Setuptools: 80.9.0
Visual studio C++ build tools
### NOTE: I followed the steps here [Contribute to 🤗 Transformers](https://huggingface.co/docs/transformers/en/contrib... | {
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https://api.github.com/repos/huggingface/transformers/issues/38600 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38600/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38600/comments | https://api.github.com/repos/huggingface/transformers/issues/38600/events | https://github.com/huggingface/transformers/issues/38600 | 3,119,623,055 | I_kwDOCUB6oc658auP | 38,600 | MambaInnerFnBackward | {
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`from transformers.models.mamba.configuration_mamba import MambaConfig
from transformers.models.mamba.modeling_mamba import MambaMixer`
When I train my model with mamba, the error shown below occurs.
` File "/root/.cache/pypoetry/virtualenvs/reverie-retr... | {
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https://api.github.com/repos/huggingface/transformers/issues/38599 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38599/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38599/comments | https://api.github.com/repos/huggingface/transformers/issues/38599/events | https://github.com/huggingface/transformers/pull/38599 | 3,119,540,234 | PR_kwDOCUB6oc6ZHV64 | 38,599 | fix awq dtype assign | {
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https://api.github.com/repos/huggingface/transformers/issues/38598 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38598/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38598/comments | https://api.github.com/repos/huggingface/transformers/issues/38598/events | https://github.com/huggingface/transformers/pull/38598 | 3,119,337,210 | PR_kwDOCUB6oc6ZGp3j | 38,598 | Deprecated sigopt from hyperparameter search | {
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https://api.github.com/repos/huggingface/transformers/issues/38597 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38597/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38597/comments | https://api.github.com/repos/huggingface/transformers/issues/38597/events | https://github.com/huggingface/transformers/pull/38597 | 3,119,268,073 | PR_kwDOCUB6oc6ZGaxF | 38,597 | Created model card for xlm-roberta-xl | {
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This pull request enhances the documentation for the XLM-RoBERTa-XL model, providing a more comprehensive overview of its features, usage, and implementation details as per #36979. The updates include new examples, usage tips, and key model details, making it easier for users to understand an... | {
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https://api.github.com/repos/huggingface/transformers/issues/38596 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38596/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38596/comments | https://api.github.com/repos/huggingface/transformers/issues/38596/events | https://github.com/huggingface/transformers/pull/38596 | 3,119,242,332 | PR_kwDOCUB6oc6ZGVHL | 38,596 | Update XLM-RoBERTa model documentation with enhanced usage examples and improved layout | {
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This PR creates a model card for the model XLM-RoBERTa as per the guidelines in #36979.
* Reorganized shield icons for better visual alignment.
* Added detailed usage examples for masked language modeling using both `Pipeline` and `AutoModel`.
* Updated model overview and key features for clar... | {
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https://api.github.com/repos/huggingface/transformers/issues/38595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38595/comments | https://api.github.com/repos/huggingface/transformers/issues/38595/events | https://github.com/huggingface/transformers/pull/38595 | 3,119,213,012 | PR_kwDOCUB6oc6ZGOkC | 38,595 | Created model card for XLM model | {
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This pull request updates the XLM model documentation to improve clarity, add usage examples, and enhance the overall presentation. The changes include a new layout for badges, detailed usage examples with code snippets, and reorganized content for better readability as outlined in #36979.
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This PR removes the requirement of a working IPEX installation for CPU usage of bitsandbytes. We will be using IPEX as an optional dependency on Linux x86-64 platforms, but we'll also support CPU for Linux aarch64, macOS arm64, and Windows x86-64.
## Before submitting
- [ ] This PR fixes ... | {
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This PR updates the documentation for TorchAO to include int4wo + 2:4 sparsity
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"merged_at... | Fixes #38468
### Problem Description
This PR addresses the `AssertionError: "Torch not compiled with CUDA enabled"` that occurs when attempting to load models using `device_map="auto"` on systems with Ascend NPU hardware (Huawei NPU).
The root cause is that, in `transformers` versions >= 4.50.0, the `_load_state... | null | {
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- `transformers` version: 4.52.3
- Platform: Linux-6.4.3-0_fbk15_hardened_2630_gf27365f948db-x86_64-with-glibc2.34
- Python version: 3.10.16
- Huggingface_hub version: 0.32.2
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not install... | {
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Revert #37996 which means to be temporary. | {
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**transformers_version:** 4.51.2
**platform**: ubuntu 24.04
**python_version**: 3.12
**Stacktrace:**
```
Failed to initialize Python stub: TypeError: unsupported operand type(s) for /: 'PosixPath' and 'NoneType'
At:
/usr/local/lib/python3.12/dist-packages/transformers/dynamic_module_utils.py(411):... | {
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# What does this PR do?
This PR refactors the Bamba model tests to inherit from the `CausalLMModelTester` and `CausalLMModelTest` base classes, following the pattern established in other causal LM models like Gemma. This reduces code duplication and makes the tests more maintainable.
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Fixed incorrect logo display in dark mode for some i18n documentations.
## Changes Made
- Updated logo asset/styles to ensure proper visibility in dark theme | {
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"merged_at... | # What does this PR do?
`datasets` introduce `trust_remote_code` at some point (probably 2024/09), but RAG's modeling code isn't handling this, and we get
```
ValueError: The repository for wiki_dpr contains custom code which must be executed to correctly load the dataset. You can inspect the repository content... | {
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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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See comments in the changes | {
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https://api.github.com/repos/huggingface/transformers/issues/38582 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38582/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38582/comments | https://api.github.com/repos/huggingface/transformers/issues/38582/events | https://github.com/huggingface/transformers/pull/38582 | 3,117,754,888 | PR_kwDOCUB6oc6ZBUQA | 38,582 | feat: add `repository` field to benchmarks table | {
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Adding a `repository` field to the `benchmarks` table so that we can use the same database & table for the diffusers repo as well.
cc @sayakpaul | {
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"merged_at... | This PR fixes three tests failing on AMD:
- tests/models/glm/test_modeling_glm.py - test_model_9b_eager
- tests/models/siglip2/test_modeling_siglip2.py - test_inference
- tests/pipelines/test_pipelines_mask_generation.py - test_small_model_pt
cc. @mht-sharma | {
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"merged_at... | This PR transfer changes made to the main branch in PR #38430 and #38426 to the `amd-hf-ci-branch`
cc. @mht-sharma | {
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prompt = "my name is"
model = BLTForCausalLM.from_pretrained(
"itazap/blt-1b",
device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained("itazap/blt-1b")
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
generated_ids = model.generate(**inputs, max_new_tokens=NUM_TO... | {
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https://api.github.com/repos/huggingface/transformers/issues/38578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38578/comments | https://api.github.com/repos/huggingface/transformers/issues/38578/events | https://github.com/huggingface/transformers/pull/38578 | 3,117,224,131 | PR_kwDOCUB6oc6Y_fV0 | 38,578 | Disable custom MRA kernels for ROCm | {
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"merged_at... | # What does this PR do?
This PR disables the MRA CUDA extensions for AMD devices as the kernels are broken on the platform at the moment.
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 [contrib... | {
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https://api.github.com/repos/huggingface/transformers/issues/38577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38577/comments | https://api.github.com/repos/huggingface/transformers/issues/38577/events | https://github.com/huggingface/transformers/pull/38577 | 3,117,146,265 | PR_kwDOCUB6oc6Y_OMp | 38,577 | fix(attention_visualizer): add default value for image_seq_length | {
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"merged_at... | # What does this PR do?
Fixes a small bug in `attention_visualizer.py` where `image_seq_length` may be used before assignment.
# 🐛 Bug Description
Calling `visualize_attention_mask()` triggers:
UnboundLocalError: cannot access local variable 'image_seq_length' where it is not associated with a value
# Fix
... | {
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- `transformers` version: 4.52.3
- Platform: Linux-5.15.0-125-generic-x86_64-with-glibc2.35
- Python version: 3.12.2
- Huggingface_hub version: 0.32.2
- Safetensors version: 0.5.3
- Accelerate version: 0.26.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?):... | {
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"merged_at... | # What does this PR do?
This PR updates `MiniMax` from https://github.com/huggingface/transformers/pull/35831 with minor changes
- Checkpoint for integration tests has been changed from [geetu040/MiniMax-tiny](https://huggingface.co/geetu040/MiniMax-tiny) to [hf-internal-testing/MiniMax-tiny](https://huggingface.co/h... | {
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1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
1
### Expected b... | {
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Request to add the small-doge model
the model url: https://github.com/SmallDoges/small-doge
### 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... | 1. add XPU follow-ups for a series PRs from @ydshieh , e.g. https://github.com/huggingface/transformers/pull/38565, https://github.com/huggingface/transformers/pull/38510, https://github.com/huggingface/transformers/pull/38492
2. enable cv cases and ggml cases on XPU
3. clean the new cases to use device-agnostic APIs... | {
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the relate package version as：
accelerate=1.7.0、1.5.2、0.31.0
transformers=4.44.2、4.50.0
bitsandbytes=0.43.3
Nvidia-smi 535.183.01
but use another device NVIDIA A4000 NVIDIA-smi 528.89 and use awq_quan... | {
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"merged_at... | Fix "RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu" error running the following roformer tests on GPUs (CUDA or XPU):
```
tests/models/roformer/test_modeling_roformer.py::RoFormerSinusoidalPositionalEmbeddingTest::test_basic
tests/models/roformer/test_m... | {
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Just a draft PR rn to build upon and iterate, discuss during the integration. | null | {
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This pull request adds detailed model card for several Wav2Vec2-based models, including Wav2Vec2-BERT, Wav2Vec2-Conformer, and Wav2Vec2, along with minor updates to the Wav2Vec2 Phoneme model. The updates provide detailed usage examples, quantization support, and additional tools for understa... | null | {
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title ^
### Motivation
Excel files are very common as datasets.
### Your contribution
N/A | {
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"merged_at... | # What does this PR do?
All pass on A10.
One fails on T4
> tests/models/falcon_mamba/test_modeling_falcon_mamba.py::FalconMambaIntegrationTests::test_generation_fp16
(# On T4, get `NotImplementedError: Cannot copy out of meta tensor; no data!`)
I decided to just skip it on T4 | {
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"merged_at... | # What does this PR do?
Make its CI green.
There are 4 tests regarding `test_torchscript_` are treated in #38519. This PR + that PR, `chameleon` CI is green on both T4 and A10.
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"merged_at... | Fix ModernBERT tokenizer issue with is_split_into_words flag
Fixes #37883
This PR adds validation to when using the ModernBERT tokenizer with pre-tokenized inputs (is_split_into_words=True),
The fix follows the same pattern used in other tokenizers like BART, which already have this validation in place.
@Arthur... | null | {
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As discussed with @mht-sharma | {
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See comments on the PR changes | {
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"merged_at... | # What does this PR do?
Using try-except causes compile unsupported issues in vLLM with transformers backend. Though it doesn't fail when we compile in transformers with "inductor" backend, I guess it is specific to the vllm's compilation backend
This PR rewrites try/except as if/else case to solve the issue | {
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"merged_at... | In the `GenerationConfig` object, the `output_attentions` attribute is not meant to evaluate to true when `attn_implementation` is not eager, eg. it is SDPA.
An issue arises we have a `GenerationConfig` object `gen_cfg_0` with `attn_implementation == "sdpa"` and want to update some of its keys with another `gen_cfg_1... | {
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None
### 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
None
### Expe... | {
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"merged_at... | There are a few `LogitsProcessor` classes that have a `torch.Tensor` attribute, and when `__call__` is called that tensor may not be on the same device as `scores`. This aims to fix that, not by copying the attribute every time `__call__` happen, but by re-assigning it to `scores` device each time. That way, if the `sc... | {
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cc. @mht-sharma | {
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Currently, `Model CI` still include `quantization` in its matrix. And when there is any failure in it, the key in the new failure json report contains the key like `bnb` not `quantization`.
However, the `job_link` contains the key `quantization` (as it is in `Model CI` job not `Quantizati... | {
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"merged_at... | Simple fix, should fix failing tests (atleast partially)
https://github.com/huggingface/transformers/actions/runs/15407385951/job/43352806705
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- `transformers` version: 4.52.4
- Platform: Linux-5.4.0-100-generic-x86_64-with-glibc2.31
- Python version: 3.10.16
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): ... | {
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"merged_at... | Add encoding explicitly
# What does this PR do?
**Problem**:
When loading tokenizers, specifically those that utilize a chat_template.jinja file (e.g., THUDM/GLM-4-9B-0414), a UnicodeDecodeError can occur in certain environments. This happens because the open() call defaults to the system's preferred encoding,... | {
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As discussed offline. | {
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"merged_at... | # What does this PR do?
This PR fixes an issue that appeared in the latest release of hqq. As linear_layer=None, we should set del_orig=False. Otherwise, it will consider that linear_layer is actually a layer, triggering an error.
PR in question https://github.com/mobiusml/hqq/commit/a566c78961ea408c747ad2a9bd4f... | {
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https://api.github.com/repos/huggingface/transformers/issues/38550 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38550/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38550/comments | https://api.github.com/repos/huggingface/transformers/issues/38550/events | https://github.com/huggingface/transformers/pull/38550 | 3,113,128,213 | PR_kwDOCUB6oc6Yx6Ck | 38,550 | Improve GPTNeoX model card following standardization guidelines | {
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"merged_at... | Addresses #36979
This PR standardizes the GPTNeoX model card by:
- ✅ Adding a clear, accessible description highlighting what makes GPTNeoX unique (RoPE, parallel layers, strong few-shot reasoning)
- ✅ Including ready-to-use code examples for Pipeline, AutoModel, and transformers-cli
- ✅ Adding a quantization e... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/38549 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38549/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38549/comments | https://api.github.com/repos/huggingface/transformers/issues/38549/events | https://github.com/huggingface/transformers/issues/38549 | 3,113,022,900 | I_kwDOCUB6oc65jPW0 | 38,549 | Clarification on default top_k sampling parameter | {
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I'm writing to inquire about the design choice to set the default top_k sampling parameter to 50 in the transformers library.
https://github.com/huggingface/transformers/blob/f4fc42216cd56ab6b68270bf80d811614d8d59e4/src/transformers/generation/configuration_utils.py#L431
It appears top_k is the only samp... | {
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https://api.github.com/repos/huggingface/transformers/issues/38548 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38548/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38548/comments | https://api.github.com/repos/huggingface/transformers/issues/38548/events | https://github.com/huggingface/transformers/pull/38548 | 3,112,952,268 | PR_kwDOCUB6oc6YxVGR | 38,548 | Update docker image to use `av==10.0.0` | {
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Docker image is failing to build, as 9.2.0 wheel is removed, see
https://github.com/PyAV-Org/PyAV/issues/1906#issuecomment-2899577746
Failing job: https://github.com/huggingface/transformers/actions/runs/15079790825/job/42394494171 | {
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https://api.github.com/repos/huggingface/transformers/issues/38547 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38547/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38547/comments | https://api.github.com/repos/huggingface/transformers/issues/38547/events | https://github.com/huggingface/transformers/pull/38547 | 3,112,791,767 | PR_kwDOCUB6oc6Ywzh0 | 38,547 | Fix CTRL model DataParallel compatibility | {
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"merged_at... | # Problem
CTRL model fails with torch.nn.DataParallel when batch sizes don't divide evenly across GPUs, particularly affecting ROCm users.
Error:
`RuntimeError: Input tensor at index 2 has invalid shape [2, 1, 4, 7, 8], but expected [2, 2, 4, 7, 8]`
# Root Cause
CTRL model returns past_key_values as 5D tensors [2,... | null | {
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"merged_at... | # What does this PR do?
As of Python 3.9+, abstract base classes like Iterable, Mapping, Sequence, etc. are recommended to be imported from collections.abc instead of typing. Used `ruff` to identify and update these.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other c... | {
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Fixes https://github.com/huggingface/transformers/issues/38521. I checked with fast tokenizers' implementation of `word_to_char` and saw no difference in the time taken, so I think this can be the permanent solution
Otherwise we can add in `BatchFeature` support for `EncodingFast` features... | {
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https://api.github.com/repos/huggingface/transformers/issues/38544 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38544/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38544/comments | https://api.github.com/repos/huggingface/transformers/issues/38544/events | https://github.com/huggingface/transformers/issues/38544 | 3,112,681,939 | I_kwDOCUB6oc65h8HT | 38,544 | Paligemma model card needs update | {
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I found a minor problem with paligemma model card. How can I raise a PR to fix it ? I am first time contributor. I raised PR. Whom should I mention to review it ?
https://huggingface.co/google/paligemma-3b-pt-896 | {
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"merged_at... | Hi @zucchini-nlp. This PR fixed:
1. The correct usage of [decode_image_tokens](https://github.com/huggingface/transformers/blob/main/src/transformers/models/emu3/modeling_emu3.py#L1619) because the input only supports `**kwagrs`
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N/A
### Who can help?
@ydshieh
### 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
Currently [GraniteM... | {
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And can we treat `eager_attention_forward` as another option in [`ALL_ATTENTION_FUNCTIONS`](https://github.com/huggingface/transformers/blob/main/src/transformers/modeling_utils.py#L6186)? Any concerns? | {
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"merged_at... | The tests:
```
tests/models/internvl/test_video_processor_internvl.py::test_can_compile_fast_video_processor
tests/models/qwen2_vl/test_video_processing_qwen2_vl.py::test_can_compile_fast_video_processor
```
are failing on AMD because the version of `torch.compile` we are using does not properly graph the `F.resiz... | {
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Model: Qwen/Qwen2.5-0.5B-Instruct, BitsAndBytesConfig(load_in_8bit=True)
### 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 ta... | {
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https://api.github.com/repos/huggingface/transformers/issues/38537 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38537/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38537/comments | https://api.github.com/repos/huggingface/transformers/issues/38537/events | https://github.com/huggingface/transformers/pull/38537 | 3,111,553,254 | PR_kwDOCUB6oc6Ysv9F | 38,537 | Allow `mlm_probability` to be set to `None` when `mlm=False` in DataCollatorForLanguageModeling (#38522) | {
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"merged_at... | Currently, in the `DataCollatorForLanguageModeling` class, the `mlm_probability` argument is required to be a float between 0 and 1, regardless of whether `mlm` is `True` or `False`.
However, since `mlm_probability` is only used when `mlm=True`, it would make sense to allow `mlm_probability=None` when `mlm=False`, i... | {
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https://api.github.com/repos/huggingface/transformers/issues/38536 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38536/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38536/comments | https://api.github.com/repos/huggingface/transformers/issues/38536/events | https://github.com/huggingface/transformers/pull/38536 | 3,111,064,594 | PR_kwDOCUB6oc6YrHb4 | 38,536 | Update data collator to support sequence_length | {
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"merged_at... | # What does this PR do?
Adds ability to pass "sequence_length" key to data collator, achieving true absense of cross-document contamination when using packing.
This approach allows to set contiguous position_ids which in turn gets processed by flash attention kernel inside the Attention, allowing for block-diagonal... | {
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https://api.github.com/repos/huggingface/transformers/issues/38535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38535/comments | https://api.github.com/repos/huggingface/transformers/issues/38535/events | https://github.com/huggingface/transformers/issues/38535 | 3,111,056,583 | I_kwDOCUB6oc65bvTH | 38,535 | Streaming mode support on HF vs kyutai-labs for the mimi model | {
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https://api.github.com/repos/huggingface/transformers/issues/38534 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38534/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38534/comments | https://api.github.com/repos/huggingface/transformers/issues/38534/events | https://github.com/huggingface/transformers/pull/38534 | 3,110,963,983 | PR_kwDOCUB6oc6YqyLO | 38,534 | fixed a bug which was causing only partial files to be imported | {
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This solves the following bug https://github.com/huggingface/text-generation-inference/issues/3251
It recursively imports all the required files | null | {
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https://api.github.com/repos/huggingface/transformers/issues/38533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38533/comments | https://api.github.com/repos/huggingface/transformers/issues/38533/events | https://github.com/huggingface/transformers/pull/38533 | 3,110,937,104 | PR_kwDOCUB6oc6Yqsah | 38,533 | another way to use shift_labels | {
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https://api.github.com/repos/huggingface/transformers/issues/38532 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38532/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38532/comments | https://api.github.com/repos/huggingface/transformers/issues/38532/events | https://github.com/huggingface/transformers/pull/38532 | 3,110,774,299 | PR_kwDOCUB6oc6YqJIl | 38,532 | On branch fix-void-segment-mask-input [WIP] | {
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"merged_at... | Changes to be committed:
modified: src/transformers/models/mask2former/image_processing_mask2former.py
Fix [#30064](https://github.com/huggingface/transformers/issues/30064)
This differ from previous PR fix [#30335](https://github.com/huggingface/transformers/pull/30335)? This fix tackles an edge case where an ... | null | {
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