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- Change fps type from int to float across all video processors
- Maintain backward compatibility with integer values
Extends: #38105
# What does this PR do?
This PR extends the video frame sampling... | {
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This PR:
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Makes `model.config` type resolved to specific config
### On `main` (before)
`PretrainedConfig`, no model-specific attributes
### On branch (after)
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- the image used in the test is fetched from an url that is no longer up: I replaced the url with the image used in `llava-vl` which seems to be the same
- some test have an outdated image token `<image>` which I updated to the new `<|img|>` token
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Update CB to support block table | null | {
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Fix chat init
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Includes 3 fixes for token timestamps for Whisper:
1. nit due to `assertEqual` → `torch.testing.assert_close`
2. update values for A10
3. unhandled edge case (see added comments in `generation_whisper.py`)
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transformers version: 4.52.4
Platform: Linux-5.4.282-1.el8.elrepo.x86_64-x86_64-with-glibc2.31
Python version: 3.10.18
Huggingface_hub version: 0.33.0
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PyTorch version (GPU?): 2.7.1+cu126 (True)
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```python
for epoch in range(starting_epoch, int(config.training.num_train_epochs)):
# in case using steps_limit avoid multiple evaluation.
if (config.training.max_ste... | {
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Fixes https://github.com/huggingface/transformers/issues/39095 and set `mask=None` for FA2, otherwise inference fails because FA2 expects a 2d mask
Tested with `RUN_SLOW=1 pytest -k flash_attn` for all modified models | {
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I updated
https://huggingface.co/datasets/hf-internal-testing/transformers_daily_ci/commit/687b472ebd38c936c34205c0fda34e27bb7fca9a
so all model jobs are using A10 now. Let's also change everything to A10 ( CI triggered by comment, the job checking new failures etc.)
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- `transformers` version: 4.53.0.dev0
- Platform: Linux-5.15.0-140-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.33.0
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: 0.16.1+hpu.synapse.v1.21.0
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```python
import opentelemetry.sdk.trace as trace_sdk
from opentelemetry.sdk.trace.export import SimpleSpanProcessor, SpanExporter
from opentelemetry import trace
import transformers.utils.metrics
# This calls `trace.set_tracer_provider`
provider = trace_sdk.TracerProvider()
processor = SimpleSpanPr... | {
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"merged_at... | ## What does this PR do?
Improves the Code Llama model documentation following the standardized format outlined in #36979.
## Changes Made
- ✅ Added explanatory comments to code examples explaining imports and parameters
- ✅ Added "Quick Links" section with popular Code Llama models on HuggingFace Hub
- ✅ In... | {
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- `transformers` version: 4.53.0
- Platform: Linux-5.14.0-427.70.1.el9_4.x86_64-x86_64-with-glibc2.34
- Python version: 3.11.13
- Huggingface_hub version: 0.33.1
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch ver... | {
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transformers==4.53.0
linux ubuntu
python==3.12.9
pytorch==2.6.0
accelerate==1.8.1
### Who can help?
_No response_
### 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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<!--
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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"merged_at... | ### 🐛 Bugfix: Rename `eval_strategy` → `evaluation_strategy` in `TrainingArguments`
This PR corrects an API mismatch in the `TrainingArguments` dataclass where the constructor expected `eval_strategy`, but `Trainer`, config files, and CLI use `evaluation_strategy`.
### ✅ Changes
- Renames the field `eval_strate... | null | {
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>
>
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> It's possible that some files might be downloaded from the hub e.g. the config, depending wha's being called. However, calling a second time no downloads should ... | {
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"merged_at... | This PR completes **Part 1** of the cache refactor tracked in #38077.
### Summary:
* Now `Cache` is structured in a list of layers.
* Ports all existing cache types (Static, Dynamic, Offloaded, Quantized, Hybrid, etc.) to use layer composition
* Backward compatibility, tests passing.
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I noticed that transformers now support using flash attention directly in the npu by [```npu_flash_attention.py```](https://github.com/huggingface/transformers/pull/36696). There are many other acceleration apis that can be used in npu, such as shown in [doc](https://www.hiascend.com/document/detai... | null | {
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This PR replaces the BigBirdPegasus model card with a new model card matching the format introduced in #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
## Notes
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https://github.com/huggingface/transformers/blob/main/awesome-transformers.md?plain=1
This PR fixes two small typos in the **[awesome-transformers.md](https://github.com/huggingface/transformers/blob/main/awesome-transformers.md?plain=1)** list:
- **DALL·E Flow** section: changes
`Itt ... | {
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Hello!
There are two small typos in [awesome-transformers.md](https://github.com/huggingface/transformers/blob/main/awesome-transformers.md?plain=1#L289-L294):
1. DALL·E Flow section (**TYPO**)
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**Problem:**
`Fatal Python error: Segmentation fault
Thread 0x00007fd9c172e700 (most recent call first):
File "/home/taiic/anaconda3/envs/habitat-llm/lib/python3.9/threading.py", line 316 in wait
File "/home/taiic/anaconda3/envs/habitat-llm/lib/python3.9/threading.py", line 574 in wait
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"merged_at... | # What does this PR do?
Since we are explicitly setting this `UV_PYTHON` to use the global python interpreter in the containers. All packages will be installed globally.
```bash
ENV UV_PYTHON=/usr/local/bin/python
```
No use of creating a virtual environment as we are not using it anywhere. Right now it's just cre... | {
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"id": 3817266... | closed | false | null | [] | null | [] | 2025-06-28T05:05:19 | 2025-07-10T16:33:31 | 2025-07-10T16:33:31 | CONTRIBUTOR | null | null | null | null | ### System Info
Any transformers version, any python version, any system
### Who can help?
@Rocketknight1 @ArthurZucker
### Reproduction
```python3
from transformers import AutoModelForCausalLM
device_map = {
"model.embed_tokens": "cuda:0",
"model.layers": "cpu",
"model.norm": "cpu",
"model.rotar... | {
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This PR fixes an issue with the pos_idx parameter error in fp32 raised at #38843.
<!--
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... | {
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transformers v4.53.0
### 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] My own task or dataset (give details below)
### Rep... | {
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"merged_at... | # What does this PR do?
Improves the clarity of the `PyTorch` examples READMEs for image-classification and image-pretraining.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github... | null | {
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Let's skip, and if the community ask for the support of this for some models, we can allocate the time then, or let the community to open the PRs. | {
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Due to
* changes in Python 3.13,
* an incompatibility in `sentencepiece`,
* `transformers` dependency on `sentencepiece`,
`transformers` cannot be easily installed under windows + py3.13, and does not work as a dependency of other packages in this environment
There are multiple issues and a merged P... | {
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- `transformers` version: 4.52.4
- Platform: Linux-5.4.210-4-velinux1-amd64-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.30.1
- Safetensors version: 0.4.5
- Accelerate version: 1.4.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (... | {
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Updating Gemma 3n docs and docstrings to clarify the relationship between the newly trained audio encoder used in Gemma 3n and the USM model from the original paper.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).... | {
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Some PEFT integration tests involving text generation pipelines were failing since #38129 because the base model is too small to generate longer sequences. Setting max_new_tokens fixes this.
## Before submitting
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MIT Training on Github | {
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The PEFT integration tests still used load_in_{4,8}_bit, which is deprecated, moving to properly setting BitsAndBytesConfig. For 4bit, also ensure that nf4 is being used to prevent
> RuntimeError: quant_type must be nf4 on CPU, got fp4
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- `transformers` version: 4.53.0
- Platform: Linux-6.1.123+-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.33.1
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.7... | {
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"merged_at... | This PR fixes some tests for the `blip_2` model:
1. there was a device mismatch issue when `getattr(self.config, "image_token_id", None) is not None` was `True`
2. the `Blip2EncoderLayer` could be split, which led to faulty device maps
3. although the `qformer` attribute does not support FA2, some models that inher... | {
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https://api.github.com/repos/huggingface/transformers/issues/39079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39079/comments | https://api.github.com/repos/huggingface/transformers/issues/39079/events | https://github.com/huggingface/transformers/pull/39079 | 3,182,387,557 | PR_kwDOCUB6oc6cZ0Pl | 39,079 | Fixes the failing test `test_is_split_into_words` in `test_pipelines_token_classification.py` | {
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"merged_at... | # What does this PR do?
This test was originally added in https://github.com/huggingface/transformers/pull/38818 .
However, running the test currently results in a failure:
```bash
RUN_SLOW=1 python -m pytest -k "test_is_split_into_words" tests/pipelines/test_pipelines_token_classification.py
````
First a... | {
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"merged_at... | # What does this PR do?
Flash attention (dependency of autoawq) is failling with some missing symbol error, it causes all the other quantization tests to fail. Uninstalling it for now to allow the tests to run.
Failling Job : https://github.com/huggingface/transformers/actions/runs/15915442841/job/44892146131
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enviorment info:
-Python 3.11.9
-pip 25.1.1
-Successfully installed hf-xet-1.1.5 huggingface-hub-0.33.1 joblib-1.5.1 opencv-python-4.11.0.86 retrying-1.4.0 scikit-learn-1.7.0 sentence-transformers-4.1.0 threadpoolctl-3.6.0 tokenizers-0.21.2 `transformers-4.53.0`
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4.54.0.dev0 but also older versions
### Who can help?
@zucchini-nlp [this line](https://github.com/huggingface/transformers/blob/a52478253bbe522a420e88ea3940d4d98a935300/src/transformers/audio_utils.py#L60) in audio utils tries to load the audio in the video, technically expects a url to wav or mp4 b... | {
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linux, latest transformer version: transformers-4.53.0
### Who can help?
raceback (most recent call last):
File "/home/momiao.mh/Projects/debug.py", line 47, in <module>
model = AutoModel.from_pretrained(model_name)
File "/home/momiao.mh/.local/lib/python3.10/site-packages/transformers/models... | {
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"merged_at... | # What does this PR do?
The switch to `torch.testing.assert_close` entailed shape mismatches, forgot to update 😅
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```pyt... | {
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"merged_at... | fixed typo for docstring in prepare_inputs method
- [x] This PR fixes a typo or improves the docs .
## Who can review?
Documentation: @stevhliu
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"merged_at... | ### Motivation
The test `tests/quantization/finegrained_fp8/test_fp8.py::FP8QuantizerTest::test_quantized_model_multi_accelerator` failed with
```
> self.assertTrue(set(quantized_model.hf_device_map.values()) == {0, 1})tests/quantization/finegrained_fp8/test_fp8.py:206:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _... | {
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"merged_at... | # What does this PR do?
Use [a new repository](https://huggingface.co/hf-internal-testing/namespace-google-repo_name-gemma-3n-E4B-it/tree/main) to run processor tests on CircleCI.
or if @RyanMullins could check these maybe?
There are still 2 failures, could you take a look on these 2 please?
> FAILED tests... | {
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Hi everyone,
I've been comparing fa2, sdpa, and eager attention implementations. My understand is that these should be very close in logits.
For textual inputs, the relative mean difference is ~1%. For **image** inputs, the relative mean difference is 25% and relative max difference is 75%. These are v... | {
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The PR aims to address the issue 38843: Error when creating ModernBert model.
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This PR adds support for FastConformer encoder and ParakeetCTC models within transformers, enabling the use of NVIDIA's Parakeet and Canary speech-to-text models.
### FastConformer
- **Architecture**: Linearly scalable Conformer encoder for audio processing
- **Features**: Relative posit... | {
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The PR aims to address the issue 38843: Error when creating ModernBert model.
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```
examples/pytorch/test_pytorch_examples.py::ExamplesTests::test_run_object_detection - AttributeError: 'dict' object has no attribute 'feature'
```
This change makes run_object_detection compatible with `datasets` 4.0 (out next we... | {
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Fix `_keep_in_32_modules` behavior and introduce a new `_keep_in_32_modules_strict` that has the same behaviour + prevent casting from `float32` to `bfloat16` (which is not the case with `_keep_in_32_modules`). | {
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"merged_at... | This PR fixes issue where transformer pipelines invoke `torch.distributed.is_initialized()` in `src/transformers/pipelines/base.py`.
We need to check if `torch.distributed.is_available()` before checking if `torch.distributed.is_initialized()` otherwise we will face
```
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The problem has nothing to do with my system.
### Who can help?
@ArthurZucker
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details... | {
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Fixes broken tests on nightly CI | {
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With #39016, this test
> tests/generation/test_utils.py::GenerationIntegrationTests::test_compare_unprocessed_logit_scores
is failing.
However, the difference is in the range of 1e-7
```
(Pdb) torch.amax(torch.abs(logits_fwd - logits_gen))
tensor(5.9605e-08, device='cuda:0')
``... | {
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Follow-up to #38944
Deprecates a few more `require_XXX` and removes related tests, corresponding to libraries with deprecated support. | {
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> tests/models/layoutlmv3/test_image_processing_layoutlmv3.py::LayoutLMv3ImageProcessingTest::test_LayoutLMv3_integration_test
This is failing on main. But before I merged #38940, I ran the tests including this one and it is passing.
When I restore that PR branch and run again now, it als... | {
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I train a GPT-2 345M model with Megatron-LM and try to convert the model to huggingface transformers format with `transformers/src/transformers/models/megatron_gpt2
/convert_megatron_gpt2_checkpoint.py`. Then it raise error like following:
```bash
Traceback (most recent call last):
File "tools/checkp... | {
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The ecosystem is has a lot of patches to optimize the loss for causal models. Due to frequent api changes, these patches are hard to maintain and keep up to date.
- liger https://github.com/linkedin/Liger-Kernel/tree/main/src/liger_kernel/transformers/model
- cce https://github.com/apple/ml... | null | {
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"merged_at... | Fixes #37939
The deprecated max_size parameter was incorrectly overriding the size parameter completely instead of being properly handled. This affected both ConditionalDetrImageProcessor and DetrImageProcessor.
Changes:
- Fixed __init__ method to properly handle max_size parameter by setting longest_edge when s... | null | {
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[](url)git clone https://huggingface.co/spaces/Ariell931/AI4BusinessGPT
### Open source status
- [x] The model implementation is available
- [x] The model weights are available
### Provide useful links for the implementation
_No response_ | {
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[](url)git clone https://huggingface.co/spaces/Ariell931/AI4BusinessGPT
### Open source status
- [x] The model implementation is available
- [x] The model weights are available
### Provide useful links for the implementation
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As per title, after the refactor scaling was accidentally changed from `1/math.sqrt(head_dim)` to `math.sqrt(head_dim)`
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utils/deprecate_models.py
`of of `- `of` -- fix duplicate
utils/modular_model_converter.py
`is is` - `is` -- fix duplicate
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Adds OWLv2 Fast image processor as identified in issue #36978
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This PR depends on compressed-tensor updates [here](https://github.com/neuralmagic/compressed-tensors/pull/376/files) that allows compression on meta device.
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- Platform: Linux-5.14.0-503.23.2.el9_5.x86_64-x86_64-with-glibc2.34
- Python version: 3.12.4
- Huggingface_hub version: 0.33.1
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
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[VLMs] support attention backends (#37576) actually breaks `kosmos2` as `KosmosTextAttention` is used in the decoder (`Kosmos2TextBlock`) as well as `Kosmos2ImageToTextProjection` (which should attend to all image places).
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