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Use newer typing for source files with `from __future__ import annotations`. | {
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- Python version: 3.11.5
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"merged_at... | # What does this PR do?
Same as in #38607
> tests/models/depth_pro/test_modeling_depth_pro.py::DepthProModelTest::test_initialization
run 300 times: number of failures:
before: 11
after: 0
(for a failing job, see https://app.circleci.com/pipelines/github/huggingface/transformers/134769/workflows/57... | {
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We should revert once those are fixed on datasets side | {
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As per title, these modalities were left out when refactoring VLMs earlier | {
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- Clarifying that Transformers supports Python 3.7 and above
- Listing the supported versions of PyTorch, TensorFlow, and Flax
This helps new users better understand environment compatibility. No functional changes.
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- `transformers` version: 4.52.4
- Platform: Linux-5.15.0-141-generic-x86_64-with-glibc2.35
- Python version: 3.11.11
- Huggingface_hub version: 0.33.0
- 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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- Uses only `{"shortest_edge": ...}` in `size`, consistent with current API.
- Ensures compatibility with the latest image processor spec.
## Before submitting
- [x] Did you read the [contributor guideline](http... | null | {
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As per the title and as discussed offline. The list is super badly maintained, and it's better/easier to rely on pattern matching. I personally checked that everywhere it was removed, the new patterns will allow to match the layers. Also took care of not making the new pattern too general, i.... | {
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As per the title
cc @qubvel! Got too annoyed to see them, it was time! | {
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I’m currently exploring the Transformers library and want to understand its architecture in order to make meaningful contributions. I started with the Quickstart page, particularly the setup section, which provides instructions for getting started with the Hugging Face Hub.
However, I noticed that the do... | {
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With https://github.com/huggingface/transformers/pull/38879, exporting with static cache as input should be supported in https://github.com/huggingface/transformers/blob/797860c68cfd8bd3ad38ce312540445073f76b30/src/transformers/integrations/executorch.py#L288. This helps the exported program preser... | null | {
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"merged_at... | Passing a local folder to `custom_generate` via `model.generate(**inputs, custom_generate="custom_generate_example", ...)` fails because
1. `shutil.copy` in `src/transformers/dynamic_module_utils.py` silently fails if the parent directory structure doesn't exist.
2. The relative imports do not get correctly copied ... | {
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https://api.github.com/repos/huggingface/transformers/issues/38915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38915/comments | https://api.github.com/repos/huggingface/transformers/issues/38915/events | https://github.com/huggingface/transformers/pull/38915 | 3,160,607,212 | PR_kwDOCUB6oc6bRkTg | 38,915 | Small fixes for utils/check_docstrings.py | {
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"merged_at... | 1. fix ast deprecations for python 3.14 by replacing:
1. `node.n` by `node.value` ([deprecation notice](https://github.com/python/cpython/blob/af48f39a440a5c23d89508c038da5d560e74fe48/Lib/ast.py#L530))
2. `ast.Num` by `ast.Constant` ([deprecation notice](https://github.com/python/cpython/blob/af48f39a440a5c2... | {
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https://api.github.com/repos/huggingface/transformers/issues/38914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38914/comments | https://api.github.com/repos/huggingface/transformers/issues/38914/events | https://github.com/huggingface/transformers/issues/38914 | 3,160,267,954 | I_kwDOCUB6oc68Xdyy | 38,914 | Error: StaticCache.__init__() got an unexpected keyword argument 'batch_size' | {
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```
Attempting uninstall: transformers
Found existing installation: transformers 4.46.1
Uninstalling transformers-4.46.1:
Successfully uninstalled transformers-4.46.1
Successfully installed tokenizers-0.21... | {
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https://api.github.com/repos/huggingface/transformers/issues/38913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38913/comments | https://api.github.com/repos/huggingface/transformers/issues/38913/events | https://github.com/huggingface/transformers/pull/38913 | 3,160,239,014 | PR_kwDOCUB6oc6bQTxC | 38,913 | Apply GradientCheckpointingLayer to the whole repo | {
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"merged_at... | # What does this PR do?
Apply `GradientCheckpointingLayer` to the remaining models in the repository.
Most of the PR is pretty much similar changes for all models:
1) Add import for `GradientCheckpointingLayer`
2) Inherit `*Layer` modules from `GradientCheckpointingLayer`
3) Remove `if/else` path for gradient ... | {
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https://api.github.com/repos/huggingface/transformers/issues/38912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38912/comments | https://api.github.com/repos/huggingface/transformers/issues/38912/events | https://github.com/huggingface/transformers/pull/38912 | 3,160,003,598 | PR_kwDOCUB6oc6bPfKB | 38,912 | Modernbert fixes | {
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"merged_at... | This PR fixes two thing that led to several test fails in `modernbert`:
- there was a deprecated argument, `pos_idx_in_fp32` , passed to flash_attention `RotaryEmbedding` (class is [here](https://github.com/Dao-AILab/flash-attention/blob/32c491f8c592650c38374545738f589cc3b73c5f/flash_attn/layers/rotary.py#L331)) which... | {
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https://api.github.com/repos/huggingface/transformers/issues/38911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38911/comments | https://api.github.com/repos/huggingface/transformers/issues/38911/events | https://github.com/huggingface/transformers/pull/38911 | 3,159,992,741 | PR_kwDOCUB6oc6bPcxs | 38,911 | feat: add flexible Liger Kernel configuration to TrainingArguments | {
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"merged_at... | # What does this PR do?
Add support for granular Liger Kernel configuration through a new `liger_kernel_config` parameter in TrainingArguments. This allows users to selectively enable/disable specific kernels (rope, swiglu, cross_entropy, etc.) instead of the current approach that rely on default configuration.
F... | {
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https://api.github.com/repos/huggingface/transformers/issues/38910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38910/comments | https://api.github.com/repos/huggingface/transformers/issues/38910/events | https://github.com/huggingface/transformers/issues/38910 | 3,159,964,028 | I_kwDOCUB6oc68WTl8 | 38,910 | `load_balancing_loss_func` doesn't support 4D attention mask | {
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- accelerate 1.7.0
- datasets 3.6.0
- deepspeed 0.16.9
- huggingface-hub 0.32.4
- llamafactory 0.9.3.dev0
- numpy 1.26.4
- torch 2.6.0+cu124
- transformers 4.51.0
### Who can help?
@Art... | {
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https://api.github.com/repos/huggingface/transformers/issues/38909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38909/comments | https://api.github.com/repos/huggingface/transformers/issues/38909/events | https://github.com/huggingface/transformers/pull/38909 | 3,159,914,662 | PR_kwDOCUB6oc6bPLu4 | 38,909 | Add kyutai stt | {
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Adds Kyutai's new STT model 🚀 | {
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https://api.github.com/repos/huggingface/transformers/issues/38908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38908/comments | https://api.github.com/repos/huggingface/transformers/issues/38908/events | https://github.com/huggingface/transformers/pull/38908 | 3,159,887,146 | PR_kwDOCUB6oc6bPFoU | 38,908 | Add support to use config dtype in HybridChunkedCache | {
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"merged_at... | # What does this PR do?
This PR fixes the issue with the HybridChunkedCache initialisation since it does not consider the dtype present in the model config. Here: https://github.com/huggingface/transformers/blob/b949747b54b6d81c5e4ab93c4d98ebc7a5901b31/src/transformers/cache_utils.py#L1806 | null | {
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https://api.github.com/repos/huggingface/transformers/issues/38907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38907/comments | https://api.github.com/repos/huggingface/transformers/issues/38907/events | https://github.com/huggingface/transformers/pull/38907 | 3,159,649,165 | PR_kwDOCUB6oc6bORzE | 38,907 | Skip sdpa tests if submodule does not support sdpa | {
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"merged_at... | The tests `test_sdpa_can_dispatch_on_flash` and `test_sdpa_can_compile_dynamic` fail if a submodule of the model being tested does not support sdpa.
An example of this is `Blip2ModelTest` (and friends) because it has the submodule `Blip2QFormerModel` which does not support sdpa.
With this PR we should now be skippi... | {
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This PR aims to add support to mistral-common to ensure best usage of Mistral models. For now Mistral tokenizers are converted to HF format which can cause some discrepancy with official usage. We'd like to propose a soft dependency and a smooth integration in the HF environment via a `Mistra... | {
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https://api.github.com/repos/huggingface/transformers/issues/38905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38905/comments | https://api.github.com/repos/huggingface/transformers/issues/38905/events | https://github.com/huggingface/transformers/issues/38905 | 3,159,472,127 | I_kwDOCUB6oc68Ubf_ | 38,905 | Add flexible configuration for Liger Kernel in TrainingArguments | {
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The current Liger Kernel integration in HuggingFace Transformers only supports a boolean `use_liger_kernel` flag that applies all available kernels. The underlying `_apply_liger_kernel_to_instance` method supports granular configuration through `kwargs`, but this flexibility isn't exposed at the `T... | {
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I make comments in `Files changed` tab, but in short, the hub repo. safetensors files are broken. | {
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https://api.github.com/repos/huggingface/transformers/issues/38903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38903/comments | https://api.github.com/repos/huggingface/transformers/issues/38903/events | https://github.com/huggingface/transformers/issues/38903 | 3,159,309,917 | I_kwDOCUB6oc68Tz5d | 38,903 | Incorrect comparison when generating `special_image_mask` in Gemma3Model | {
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- `transformers` version: 4.52.4
- Platform: Linux-5.15.0-139-generic-x86_64-with-glibc2.31
- Python version: 3.11.11
- Huggingface_hub version: 0.32.3
- Safetensors version: 0.5.3
- Accelerate version: 1.4.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/38901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38901/comments | https://api.github.com/repos/huggingface/transformers/issues/38901/events | https://github.com/huggingface/transformers/pull/38901 | 3,159,195,561 | PR_kwDOCUB6oc6bMxXM | 38,901 | Fix initialization of OneFormer | {
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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.
Then, please replace this w... | {
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As per title, we'll remove it anyway in the end so let's start raising warnings. I already ask all new models to not use `Vision2Seq` | {
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### Your current environment
```text
INFO 06-19 02:57:16 [__init__.py:244] Automatically detected platform cuda.
Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 22.04.4 LTS (x86_64)
GCC versio... | {
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These are detected and fixed by `ruff UP008`. | {
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Updates SuperPoint model card for #36979
## 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?
@stevhliu
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Updates the DeBERTa-v2 card according to the description in [#36979](https://github.com/huggingface/transformers/issues/36979) to standardize all model cards' look.
The pr includes:
- Model description
- Examples for Pipeline, AutoModel, and command line usage
Note: AttentionMaskVisua... | {
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As mentioned in the issue https://github.com/huggingface/transformers/issues/36979 this PR updates the documentation of the Llava-Next model, which will now be aligned with the standardized format for all the docs.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you ca... | {
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Fixes #37939
## 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/blob/main/CONTRIBUTING.md#create-a-pull-request),
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Happy to take this one, as I'm working on Sam2 and the implementation looks very similar.
I'll have to dive deeper in the code to check if this even need to be a separate model.
### Open source status
- [x] The model implementation is available
- [x] The model weights are available
### Provid... | null | {
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According to Qwen2.5-VL Technical Report, the channel of ViT and the in channel of VL-merger could be 1280.

And I try to load the pretrained Qwen2.5-VL-7B model, clearly, the intput hidden size of merger is 128... | {
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In some language-modeling and image-pretraining examples, the _no_trainer version training scripts check whether `accelerator.distributed_type` is `TPU`. However, `TPU` is already deprecated in new Accelerator library. They should be changed to `XLA`.
This is a follow-up fix of #38652 .
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Draft PR to add RF-DETR based on: https://github.com/huggingface/transformers/pull/36895
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This PR enable compilation when generating with bnb models. This is supported with the latest bnb. | null | {
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This PR fixes it by renaming the loop variable to something that doesn't overwrite a Python built-in like that! | {
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Most changes are using f-string. | {
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Issue:
Currently, the auto-generated code snippets on the Hub don’t account for torch_dtype, resulting in models being loaded in float32 by default. This often leads to unnecessarily high memory usage and frequent OOM errors, especially in environments like Colab.
For example:
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Fixes failing CI. Some models like InternVL have a shared image processor with a different model (GotOCR). So when we check for an `image_processor_type` and infer that changing `Image -> Video` gives us video processor, it fails. Because GotOCR has no video video processing and should not ha... | {
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As per title, adds a small utility for loading videos with torchcodec. Note that we don't use torchcodec to its fullest, i.e. loading to device or streaming. Loading to device incurs high memory usage because we load the whole video and sampling only after that. For streaming and other featur... | {
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Implements serialization functions for StaticCache similar to the one implemented for DynamicCache. Fixes https://github.com/pytorch/pytorch/issues/155862.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] ... | {
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https://api.github.com/repos/huggingface/transformers/issues/38878 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38878/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38878/comments | https://api.github.com/repos/huggingface/transformers/issues/38878/events | https://github.com/huggingface/transformers/issues/38878 | 3,155,545,376 | I_kwDOCUB6oc68Fc0g | 38,878 | 📄 Information about the usage of models and code with non-commercial LICENSE on transformers and diffusers | {
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I want to understand how HuggingFace handles code and models which are not licensed for commercial use in its repositories even though the repository itself is for commercial use. The `transformers` and `diffusers` libraries both are Apache License but both cater to non-commercial models as well.
I have re... | {
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"merged_at... | This PR improves the documentation of the `attention_mask` parameter in the `forward()` method of the `BertModel` class.
### Changes made:
- Added a clear explanation of how 1s and 0s in `attention_mask` control attention behavior
- Included a minimal example tensor to demonstrate typical usage
- Follows the Hugg... | null | {
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"merged_at... | # What does this PR do?
This PR fixes a device mismatch error that occurs when using NPU flash attention functions across multiple devices. Currently, running the following test script with more than one npus
```
import torch
from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
from qwen_... | {
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- transformers version: `4.52.4`
- Platform: Linux
- Python version: 3.12
- PyTorch version: 2.7.0+cu128
- CUDA version: 12.8
- GPU: NVIDIA GeForce RTX 5090 (Blackwell architecture)
- Driver Version: 570.144
### Who can help?
## Who can help?
@amyeroberts @qubvel (vision models - SigLIP2 related i... | {
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I have a phi-4-mini-reasoning model, here the config:
https://huggingface.co/microsoft/Phi-4-mini-instruct/blob/main/tokenizer_config.json
I downloaded it locally.
and I use `tokenizer = AutoTokenizer.from_pretrained(input_folder)` and then `tokenizer.save_pretrained(output_folder)` Now the output toke... | {
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"merged_at... | Fix for bug in issue (#38837)
# What does this PR do?
This PR fixes a bug in the Trainer.training_step method where the loss is always divided by gradient_accumulation_steps, even on the final accumulation cycle of an epoch, which may contain fewer batches. This leads to an artificially small loss during the last o... | {
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```python
import transformers
transformers.__version__
```
```
'4.52.4'
```
### 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 ow... | {
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- `transformers` version: 4.52.4
- Platform: Linux-6.1.123+-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.33.0
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.6.0+cu124... | {
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"merged_at... | # What does this PR do?
Follow up to https://github.com/huggingface/transformers/pull/38101 as the error still seems to happen with a similar error
```
[rank0]: File "/root/miniconda3/envs/py3.11/lib/python3.11/site-packages/transformers/trainer.py", line 2720, in _inner_training_loop
[rank0]: self.control ... | {
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Env:
```
torch 2.7.1 pypi_0 pypi
torchvision 0.22.1 pypi_0 pypi
tqdm 4.67.1 pypi_0 pypi
transformers 4.51.0 pypi_0 pypi
pillow 11.2... | {
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"merged_at... | # What does this PR do?
See comments.
All tests pass on the desired runners (multi-A10 runners).
I haven't checked the flash attn test - let's make effort when I switch to A10 runners (soon).
(Loading the FA model would require not to use the newly added `get_model`) | {
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Supersedes https://github.com/huggingface/transformers/pull/38512 for simplicity. Because the initialization was so bad originally, I needed to make extra sure to follow the module graph very carefully to retain BC init. Also, original PR had a lot of unwanted commits/contributors.
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https://api.github.com/repos/huggingface/transformers/issues/38863 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38863/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38863/comments | https://api.github.com/repos/huggingface/transformers/issues/38863/events | https://github.com/huggingface/transformers/pull/38863 | 3,153,635,102 | PR_kwDOCUB6oc6a6LaH | 38,863 | Fix num_return_sequences by overwriting WhisperGenerationMixin | {
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https://api.github.com/repos/huggingface/transformers/issues/38861 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38861/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38861/comments | https://api.github.com/repos/huggingface/transformers/issues/38861/events | https://github.com/huggingface/transformers/pull/38861 | 3,153,285,238 | PR_kwDOCUB6oc6a4_6s | 38,861 | Add SamImageProcessorFast with 4x performance improvement | {
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Implements GPU-accelerated `SamImageProcessorFast` following the BEiT pattern, providing 4x performance improvement over the original CPU-bound processor while maintaining 100% compatibility.
fixes https://github.com/huggingface/transformers/pull/36999 | null | {
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https://api.github.com/repos/huggingface/transformers/issues/38860 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38860/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38860/comments | https://api.github.com/repos/huggingface/transformers/issues/38860/events | https://github.com/huggingface/transformers/pull/38860 | 3,153,256,487 | PR_kwDOCUB6oc6a452- | 38,860 | Add kwargs for timm.create_model in TimmWrapper | {
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Add kwargs for timm.create_model in TimmWrapper.
requested in:
- https://github.com/huggingface/transformers/pull/37878
related to:
- https://github.com/huggingface/transformers/pull/35819
Kwargs are added to the config to save them. `timm` will read them, but for models without... | {
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https://api.github.com/repos/huggingface/transformers/issues/38859 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38859/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38859/comments | https://api.github.com/repos/huggingface/transformers/issues/38859/events | https://github.com/huggingface/transformers/pull/38859 | 3,153,078,340 | PR_kwDOCUB6oc6a4TKz | 38,859 | Add MobileViT fast image processor | {
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"merged_at... | ## Summary
This PR adds a fast image processor for MobileViT models, providing significant performance improvements while maintaining full functional equivalence with the existing slow processor.
## Changes
- **Added**: `MobileViTImageProcessorFast` class in `src/transformers/models/mobilevit/image_processing_... | null | {
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- `transformers` version: 4.52.4
- Platform: Linux-6.1.123+-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.33.0
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.6.0+cu124... | {
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"merged_at... | ## What does this PR do?
This PR clarifies in the `TrainingArguments` docstring that `per_device_train_batch_size`
is multiplied by the number of devices when training on multiple GPUs or with distributed training.
Closes #38484
## Before submitting
- [x] This PR fixes a typo or improves the docs
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"merged_at... | Hi @Rocketknight1, thanks for the great guidance on the previous PR!
This new pull request follows your suggestion to fix the bug at its source. It resolves a `RuntimeError` that occurs in time series models inheriting from `TimeSeriesTransformerModel` (such as `InformerModel`) when `config.input_size` is set to 1.
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I’ve updat... | {
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I have implemented a scaling loss for my discrete game usecase.
I would like to be able to hand my model a batch with a map of sequences and their associated randomness(or importance) and then scale the loss relative to the next tokens predictability.
My implementation works but is very slow relati... | null | {
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"merged_at... | # What does this PR do?
Updates `bamba` model card for #36979
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create... | {
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The reason being that `trainer` itself already does `gather_for_metrics` ([here](https://github.com/huggingface/transformers/blob/v4.51-release... | {
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Fixes #38348
## 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/blob/main/CONTRIBUTING.md#create-a-pull-request),
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"merged_at... | # What does this PR do?
Fixes artifacts introduced in #37753
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
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"merged_at... | # What does this PR do?
Updated Auto Class docs for #36979
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
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"merged_at... | Docs: add community fine‑tuning notebook link to TrOCR page
# What does this PR do?
Adds a link to a community tutorial notebook in the TrOCR model docs.
The notebook demonstrates fine-tuning TrOCR on a custom custom dataset and includes multiple training strategies:
- Train all parameters
- Train encoder ... | {
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the video preprocessor now breaks everytthing,
I have a model which need Qwen2.5 VL preporssor, it's OK before, but now it can not load, breaks.
My model just need Qwen2.5 VL preprocessor, it doens't have Qwen2.5 VL arch, it's a customized model.
But now, the video prerproecssor will reading the conf... | {
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"merged_at... | # What does this PR do?
As usual, trying to update/fix some value mismatching or OOM to make CI better.
Passing now both on A10/T4 with torch 2.7.1 | {
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"merged_at... | We use possessive quantifiers with `regex` for Py < 3.11 or `re` for Py >= 3.11 to avoid huge slowdown here.
cc @Michellehbn ! | {
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linux ubuntu 22.04
Python 3.12.4
transformers 4.52.4
flash-attn 2.8.0.post2
### Who can help?
@ArthurZucker
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My ow... | {
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```python
ratio_h, rati... | {
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Otherwise there is a circular import - as the list is only for BC, it's fine to copy it
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For BC we need to check if there is an image processor, not feature extractor. Previously all video processors could be only an instance of image processor
Reported in https://github.com/huggingface/transformers/issues/38665#issuecomment-2975331102 | {
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As per title. Removes
- deprecated legacy cache
- deprecation we has for new processor API
- `**rope_kwargs` from the RoPE API
- `_seen_tokens` in cache classes
First review @gante as most modifications are around cache/generation | {
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- `transformers` version: 4.51.3
- Platform: Linux-5.10.134-010.ali5000.al8.x86_64-x86_64-with-glibc2.32
- Python version: 3.10.16
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: not found
- DeepSpeed version: 0.15.4
- PyTorch version (... | {
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This PR fixes a compatibility issue related to `DTensor` import introduced in PyTorch 2.5.
Previously, `DTensor` was imported only under the condition:
```python
if _torch_distributed_available and is_torch_greater_or_equal("2.5"):
from torch.distributed.tensor import DTensor
``... | {
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https://api.github.com/repos/huggingface/transformers/issues/38835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38835/comments | https://api.github.com/repos/huggingface/transformers/issues/38835/events | https://github.com/huggingface/transformers/pull/38835 | 3,148,233,911 | PR_kwDOCUB6oc6an-0J | 38,835 | Update roc bert docs | {
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This PR updates the model card according to the changes needed on the pull request.
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https://api.github.com/repos/huggingface/transformers/issues/38834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38834/comments | https://api.github.com/repos/huggingface/transformers/issues/38834/events | https://github.com/huggingface/transformers/pull/38834 | 3,147,863,515 | PR_kwDOCUB6oc6am2Hg | 38,834 | Fix broken notebooks link in Italian training docs | {
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