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https://api.github.com/repos/huggingface/transformers/issues/38022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38022/comments | https://api.github.com/repos/huggingface/transformers/issues/38022/events | https://github.com/huggingface/transformers/pull/38022 | 3,049,144,176 | PR_kwDOCUB6oc6VcWha | 38,022 | Skip `test_push_to_hub_with_saves_each_epoch` for now | {
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Need to check if it is staging hub issue or anything else. | {
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https://api.github.com/repos/huggingface/transformers/issues/38021 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38021/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38021/comments | https://api.github.com/repos/huggingface/transformers/issues/38021/events | https://github.com/huggingface/transformers/pull/38021 | 3,049,055,648 | PR_kwDOCUB6oc6VcDU0 | 38,021 | Update Loss Functions to Accept Tensor num_items_in_batch | {
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Changes:
Updated num_items_in_batch: Optional[int] → Optional[torch.Tensor] in both functions.
Applied .item() ... | {
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https://api.github.com/repos/huggingface/transformers/issues/38020 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38020/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38020/comments | https://api.github.com/repos/huggingface/transformers/issues/38020/events | https://github.com/huggingface/transformers/pull/38020 | 3,048,955,518 | PR_kwDOCUB6oc6Vbthq | 38,020 | 上传 | {
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https://api.github.com/repos/huggingface/transformers/issues/38019 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38019/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38019/comments | https://api.github.com/repos/huggingface/transformers/issues/38019/events | https://github.com/huggingface/transformers/pull/38019 | 3,048,933,177 | PR_kwDOCUB6oc6Vbomi | 38,019 | Print commit SHA on slack message for new model notification. | {
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Print commit SHA on slack message for new model notification. | {
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https://api.github.com/repos/huggingface/transformers/issues/38018 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38018/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38018/comments | https://api.github.com/repos/huggingface/transformers/issues/38018/events | https://github.com/huggingface/transformers/pull/38018 | 3,048,713,605 | PR_kwDOCUB6oc6Va4WR | 38,018 | Fix `Optional` typing | {
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Make style CI green again
cc @ydshieh | {
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https://api.github.com/repos/huggingface/transformers/issues/38017 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38017/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38017/comments | https://api.github.com/repos/huggingface/transformers/issues/38017/events | https://github.com/huggingface/transformers/issues/38017 | 3,048,694,659 | I_kwDOCUB6oc61t2OD | 38,017 | Maybe the vocab_size can be duplicated to the mainconfig for PEFT to pick up | {
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```
self.vocab_size=self.text_config.vocab_size;
```
Due to the following check in peft
https://github.com/huggingface/peft/blob/6c489499300c652a4990cfbcc185394... | {
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https://api.github.com/repos/huggingface/transformers/issues/38016 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38016/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38016/comments | https://api.github.com/repos/huggingface/transformers/issues/38016/events | https://github.com/huggingface/transformers/pull/38016 | 3,048,685,372 | PR_kwDOCUB6oc6VayMm | 38,016 | Fix OneFormer integration test | {
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Fix OneFormer integration test | {
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https://api.github.com/repos/huggingface/transformers/issues/38015 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38015/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38015/comments | https://api.github.com/repos/huggingface/transformers/issues/38015/events | https://github.com/huggingface/transformers/pull/38015 | 3,048,644,562 | PR_kwDOCUB6oc6VapTd | 38,015 | Fix linalg.norm for CovnNextV2 | {
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Bug introduced in
- https://github.com/huggingface/transformers/pull/37041
While we are normalizing on multiple dimensions
1. `torch.linlag.norm` much slower than `torch.norm`
2. `torch.linlag.norm` **is not equivalent** to `torch.norm`
Instead, `torch.linlag.vector_norm` should b... | {
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Loading a PyTorch model from a saved TensorFlow checkpoint using
`from_pretrained(..., from_tf=True)` could fail with a
`RuntimeError: size mismatch`. The error indicated that weights like
position embeddings were expected to have the shape of word embeddings
(e.g., [vocab_size, hidden_si... | {
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"merged_at... | Qwen2.5-Omni: Update modeling_qwen2_5_omni.py to fix loading quantized weights with AutoAWQ.
What does this PR do?
while loading AWQ quantized Qwen-Omni model with AutoAWQ, there will be an error as below:
Traceback (most recent call last):
File "/nas/yuehu/NEW/AutoAWQ/./examples/quantize_qwen_omni.py", line ... | {
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FWIS should be testing if the [whole vector] is same enough to the special token embedding,
instead of testing same at each dim,
which should be something like
```
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"merged_at... | Update bnb tests results as bnb has new kernels, the output will be slightly different, but still reasonable.
@SunMarc @ydshieh Please review it
cc @Titus-von-Koeller @matthewdouglas
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This test is not a cuda-specific test and can work on other GPUs, e.g. on XPU it can pass.
cc @ydshieh @yao-matrix | {
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- transformers version: 4.37.2
- Platform: Linux version 5.15.0-105-generic
- Python version: 3.10.17
- Huggingface_hub version: 0.31.1
- Safetensors version: 0.5.3
- Accelerate version: 0.26.0
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (... | {
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Qwen_2_5_VL support variable length attention computation
### Motivation
Hello, I try to run qwen25_vl with packing samples, however, I found that it seems this function only passes the attention_mask, not the position_ids in [https://github.com/huggingface/transformers/blob/main/src/transformers... | {
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"merged_at... | all 4 cases passed.
@ydshieh , pls help review, thx.
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https://api.github.com/repos/huggingface/transformers/issues/38004 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38004/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38004/comments | https://api.github.com/repos/huggingface/transformers/issues/38004/events | https://github.com/huggingface/transformers/pull/38004 | 3,047,368,498 | PR_kwDOCUB6oc6VWT15 | 38,004 | Fix wording in `torchscript.md` | {
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This PR improves documentation by fixing a small typo.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBU... | {
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https://api.github.com/repos/huggingface/transformers/issues/38003 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38003/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38003/comments | https://api.github.com/repos/huggingface/transformers/issues/38003/events | https://github.com/huggingface/transformers/issues/38003 | 3,047,090,130 | I_kwDOCUB6oc61nufS | 38,003 | Potential bug in Qwen 2/2.5 VL Image Preprocessor | {
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* transformer: main
* pytorch, cuda: anyversion
### 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, ...)
- [ ] My own task or dataset (give detai... | {
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Nit fix when `output_audio=True`. | {
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vllm 0.8.5.post1
transformers 4.52.0.dev0
### Who can help?
@amyeroberts
@qubvel
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folde... | {
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Env:
- transformers version: 4.51.3
- Platform: Linux-6.8.0-59-generic-x86_64-with-glibc2.39
- Python version: 3.10.16
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: not found
- Accelerate config: not found
- DeepSpeed version: not found
- PyTorch version (GPU?): 2... | {
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The AMD Dockerfile is based on ubuntu base container we expect pytorch docker to have needed hip dependencies also added bitsandbytes and flash attention packages to fix failing tests these changes were discussed in a meeting. These changes are expected to solve 99/144 test cases posted in sl... | null | {
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When using Transformers RagRetriever and Milvus in a jupyter notebook, the faiss library is required. I specifically need faiss-gpu, but as the check for this is not implemented here I am unable to run my code.
This PR adds a check for faiss-gpu to the existing faiss and faiss-cpu checks.
<... | {
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We get
> Too long with no output (exceeded 10m0s): context deadline exceeded
from time to time. It's very unclear how could this happen. It might be pytest, pytest's plugin, our code, or even the `tee` command.
This time, let's monitor some progresses in pytest and see if we can get... | {
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"merged_at... | Qwen2.5-Omni: Update modeling_qwen2_5_omni.py to fix loading quantized weights with AutoAWQ.
# What does this PR do?
while loading AWQ quantized Qwen-Omni model with AutoAWQ, there will be an error as below:
```bash
Traceback (most recent call last):
File "/nas/yuehu/NEW/AutoAWQ/./examples/quantize_qwen... | {
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"merged_at... | To refactor comparing slow == fast, we need to 'freeze' current working behavior of tokenizers. We move the test strings to the hub (https://huggingface.co/datasets/hf-internal-testing/tokenization_test_data), with expected tokens, encoded_ids, and encoded_ids with special tokens. I got the test strings for all sentenc... | null | {
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"merged_at... | # What does this PR do?
cc @stas00
Follow up of #36607, see [this comment](https://github.com/huggingface/transformers/pull/36607#issuecomment-2781494656).
The following code snippet gives
#### on main
> tensor(7.0538, grad_fn=<NllLossBackward0>)
None
#### with this PR.
> tensor(7.0538, grad_fn=<Nl... | {
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910B1,python==3.10,transformers==4.51.0
### Who can help?
When torch==2.2.0 and torch-npu==2.2.0 and transformers>4.49, the error "AssertionError: Torch not compiled with CUDA enabled" will appear. <=4.49 has no... | {
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"merged_at... | @amyeroberts, @qubvel pls help review.
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tests/models/aya_vision/test_modeling_aya_vision.py::AyaVisionIntegrationTest::test_small_model_integration_generate_text_only
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"merged_at... | # What does this PR do?
Additional fix for https://github.com/huggingface/transformers/pull/37819.
I didn't fix _get_unpadded_features methods in llava family processor.
## 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 ... | {
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This PR adds support for using BLIP and GIT models with the `image-to-text` pipeline.
Both model types already had underlying compatibility in `ImageToTextPipeline`, but they were not formally registered in `SUPPORTED_TASKS`, which prevented `pipeline(..., model="Salesforce/blip-image-captio... | {
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Currently, any `cache_position` passed to `model.generate()` is silently replaced by the initial initialization. This seems wrong, since there is no need to reinitialize an argument that has already been passed. In some models, being able to pass custom cache_positions which are not 0-initial... | {
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https://api.github.com/repos/huggingface/transformers/issues/37985 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37985/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37985/comments | https://api.github.com/repos/huggingface/transformers/issues/37985/events | https://github.com/huggingface/transformers/pull/37985 | 3,043,760,546 | PR_kwDOCUB6oc6VKFGo | 37,985 | Fix Qwen models export with torch 2.7 | {
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Due the regression in `torch 2.7` reported in https://github.com/pytorch/pytorch/issues/150994, export with `strict=True` will fail. The workaround is to toggle the `strict=False` on 2.7.
Fixes #37876
## Before submitting
- [x] Did you read the [contributor guideline](https://githu... | {
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Adds a `use_repr: bool` option to `model_addition_debugger_context` to support saving full tensors to disk instead of `repr()`-ized versions in the JSON file.
Fixes #37983
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's... | {
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Current state: [`model_addition_debugger_context` context manager](https://huggingface.co/docs/transformers/v4.51.3/en/internal/model_debugging_utils#model-addition-debuggers) write out a `FULL_TENSORS.json` file containing `repr()`-ized version of the relevant tensors.
Request: Add a `use_repr: ... | {
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Our daily CI had >1000 new failures since #37920, on tests that use the `max_memory` argument in `from_pretrained`. This is because we now recapture unused reserved GPU memory, which caused us to go beyond the user-defined `max_memory`. This PR fixes it.
Affected tests, which set `max_memo... | {
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As mentioned in the issue https://github.com/huggingface/transformers/issues/36979 this PR updates the documentation of the BigBird model, which will now be aligned with the standardized format for all the docs.
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Name: transformers
Version: 4.49.0
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/c... | {
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transformers 4.26.1 pypi_0 pypi
### Who can help?
_No response_
### Information
- [x] 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... | {
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"merged_at... | This util lets us compare different CI run results. Can be used to find tests that are failing on one specific architecture, or find tests that are failing on multiple/all architectures (in which case perhaps the test isn't working at all).
Example usage:
`python3 utils/ci_results_inspector.py -a 14837567374 -b 148... | {
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"merged_at... | I am pretty sure the merge resolution (#36943) removed the current changes.
You can run the following with `vLLM` to check the current changes.
```
python examples/offline_inference/basic/generate.py --model gpt2 --model-impl transformers --enforce-eager
``` | null | {
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"merged_at... | # What does this PR do?
Follow-up to this comment: https://github.com/huggingface/transformers/pull/37922#issuecomment-2854023534
Tests for offloaded static caches are failing on multiple devices because the implementation of these caches doesn't work with multiple devices. This PR raises an informative exception... | {
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"merged_at... | # What does this PR do?
Make it is easier to go to the job run page when checking new model failures.
Previous, it looks like
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"merged_at... | ## What does this PR do?
1. Refactor out the cache update logic for static and sliding window attention mechanisms.
Extracts the core update logic into two new utility functions: `_static_cache_update_logic` and `_sliding_cache_update_logic`. This way, there is only one implementation for StaticCache, SlidingWindow... | {
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[Pruna](https://github.com/PrunaAI/pruna) is an open source AI model Optimization framework.
As discussed with @SunMarc, it would be nice to load Pruna optimized models through the `transformers.from_pretrained` interface as an alternative to the [PrunaModel](https://docs.pruna.ai/en/stable/docs_p... | null | {
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`This comment contains run-slow, running the specified jobs:` appears twice on the GH comment to trigger slow tests ([example](https://github.com/huggingface/transformers/pull/37922#issuecomment-2853876256)).
This PR removes one of the copies 🤗 | {
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The issue addressed in this PR https://github.com/huggingface/transformers/pull/37920 also applies to other GPUs. Otherwise, the device index in `device_map` on Intel GPU and NV GPU doesn't align with each other. On CUDA, this is {"": 0}, but on XPU this is {"": 1}, which leads to following te... | {
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Fixes #37956
## Who can review?
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Currently this runner type has only 32G CPU RAM, and the new one has 64G RAM. | {
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https://api.github.com/repos/huggingface/transformers/issues/37958 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37958/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37958/comments | https://api.github.com/repos/huggingface/transformers/issues/37958/events | https://github.com/huggingface/transformers/pull/37958 | 3,039,389,458 | PR_kwDOCUB6oc6U7Dt3 | 37,958 | Fix torch.compile issues with past_key_value vs past_key_value | {
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replaced past_key_value with past_key_value also checked for backward compatibility
Fixes #36290
## 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://g... | {
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As [all D-FINE models](https://huggingface.co/collections/ustc-community/d-fine-68109b427cbe6ee36b4e7352) were renamed on the hub, this PR updates the Transformers docs accordingly. | {
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https://api.github.com/repos/huggingface/transformers/issues/37956 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37956/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37956/comments | https://api.github.com/repos/huggingface/transformers/issues/37956/events | https://github.com/huggingface/transformers/issues/37956 | 3,039,364,356 | I_kwDOCUB6oc61KQUE | 37,956 | Inconsistency in installation instructions for `venv` and `uv` | {
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The last step should be:
```
# venv
pip install .
```
and
```
# uv
uv pip install .
```
No?
It's a minor issue (so if you close this issue, that's f... | {
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Fixes #37909,
This PR fix invalid type hint syntax in get_auxiliary_logits (Dict[str, Tensor])
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](https://github.com/hugg... | {
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linux transforemres 4.52.dev9
### Who can help?
text = self.processor.apply_chat_template(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/miniconda3/lib/python3.12/site-packages/transformers/processing_utils.py", line 1534, in apply_chat_template
prompt = self.tokenizer.apply_chat_t... | {
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"merged_at... | # What does this PR do?
This PR fixes the `past_key_values` type hint in model output types to adopt the new `Cache` type.
## Before submitting
- [✅ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.... | {
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As described in the issue, this PR updates the model card for Mamba. Please let me know if any modifications are required and I will make the necessary changes.
Refs #36979
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the ca... | {
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"merged_at... | > NOTE: I'll take care of all the details when I'm done with the code part.
# What does this PR do?
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`transformers version: 4.52.0.dev0`
### Who can help?
@ArthurZucker
### 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)
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"merged_at... | # What does this PR do?
As suggested in this issue - https://github.com/huggingface/transformers/issues/36979 - this PR updates the documentation of the MobilenetV1 and V2 model, which will now be aligned with the standardized format for all the docs.
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https://api.github.com/repos/huggingface/transformers/issues/37947 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37947/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37947/comments | https://api.github.com/repos/huggingface/transformers/issues/37947/events | https://github.com/huggingface/transformers/issues/37947 | 3,037,761,210 | I_kwDOCUB6oc61EI66 | 37,947 | Add examples that showcase the use of Hyperparameter search with Transformers | {
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Updates the RoFormer card according to the description in #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: Quantization is not applied becau... | {
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roberta_config = RobertaConfig(
hidden_size=HIDDEN_SIZE,
num_attention_heads=NUM_ATTENTION_HEADS,
num_hidden_layers=NUM_HIDDEN_LAYERS,
intermediate_size=INTERMEDIATE_SIZE,
hidden_dropout_prob=HIDDEN_DROPOUT_PROB,
max_position_embeddings=MAX_POSITION_EMBEDDINGS,
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"merged_at... | # What does this PR do?
`torch.compile` gives a graph break:
```
W0503 22:06:01.020000 30493 site-packages/torch/_dynamo/variables/tensor.py:869] [12/0] Graph break from Tensor.item(), consider setting:
W0503 22:06:01.020000 30493 site-packages/torch/_dynamo/variables/tensor.py:869] [12/0] torch._dynamo.confi... | null | {
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transformers version: 4.50.0.dev0
tokenizers version: 0.21.1
torch version: 2.6.0
Python version: 3.10.16
Model: google/gemma-3-27b-it
### Who can help?
@ArthurZucker @itazap
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supporte... | {
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"merged_at... | # What does this PR do?
This PR updates the Swin Transformer V2 model card (`swin_transformer_v2.md`) to align with the new standardized format.
- Follows the template provided in [Community contributions] Model cards #36979.
- Includes working Pipeline and AutoModel examples (tested locally).
- Removed t... | {
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Superseeds #37832 as it was on the main branch did not want to push to it!
Todos:
- cleanup cache, attention masks and cache positions.
- cleanup generation, might be a way to make it `generate` compatible? if you always sample the top_k *num_channel tokens, you are getting the correct nu... | {
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``... | {
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"node_id": "LA_kwDO... | closed | false | null | [] | null | [] | 2025-05-03T14:15:32 | 2025-10-06T14:15:57 | 2025-10-06T14:15:57 | CONTRIBUTOR | null | null | null | null | At the `__init__` method of [ConditionalDetrImageProcessor](https://github.com/huggingface/transformers/blob/main/src/transformers/models/conditional_detr/image_processing_conditional_detr.py) file, we still accept the deprecated parameter, `max_size`:
```python
if "max_size" in kwargs:
logger.warn... | {
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"merged_at... | # What does this PR do?
Fix a small typo.
## 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-a-pull-request),
... | {
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https://api.github.com/repos/huggingface/transformers/issues/37937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37937/comments | https://api.github.com/repos/huggingface/transformers/issues/37937/events | https://github.com/huggingface/transformers/pull/37937 | 3,037,351,014 | PR_kwDOCUB6oc6U0mNt | 37,937 | [generate] Fix `vocab_size` access for multimodal models | {
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"merged_at... | # What does this PR do?
Fixes #37930
Prior to this PR, `compute_transition_scores`, `_get_candidate_generator` and `_get_logits_processor` still used `config.vocab_size` to access a model's vocab size. This caused issues with multimodal models, as the vocab_size is stored within their `text_config`.
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https://api.github.com/repos/huggingface/transformers/issues/37936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37936/comments | https://api.github.com/repos/huggingface/transformers/issues/37936/events | https://github.com/huggingface/transformers/pull/37936 | 3,037,244,247 | PR_kwDOCUB6oc6U0R-X | 37,936 | fix docs serving typos. | {
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https://api.github.com/repos/huggingface/transformers/issues/37935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37935/comments | https://api.github.com/repos/huggingface/transformers/issues/37935/events | https://github.com/huggingface/transformers/pull/37935 | 3,036,989,564 | PR_kwDOCUB6oc6UzfF5 | 37,935 | Include output embedding as well with `include_embedding` flag | {
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"merged_at... | Summary:
att
Test Plan:
python tests/quantization/torchao_integration/test_torchao.py -k test_include_input_output_embeddings
Reviewers:
Subscribers:
Tasks:
Tags:
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```
x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)
```
This is just the rms norm? | {
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train_dataloader use `seed_worker` to set the seed on different workers. But when working with distributed training, e.g. DDP, deep speed, etc, different ranks will shared the same seed. If there are random data augmentation, they will be the same across different ranks.
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"merged_at... | # What does this PR do?
Fixes #37874
Problem:
`nn.Parameter()` defined in `__init__` -> we initialize in the `meta` device -> whatever is stored in this parameter at init time gets shredded
Solution:
Don't init the sinusoidal embeddings in `nn.Parameter`, e.g. use a non-persistent buffer. The buffer solutio... | {
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https://api.github.com/repos/huggingface/transformers/issues/37930 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37930/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37930/comments | https://api.github.com/repos/huggingface/transformers/issues/37930/events | https://github.com/huggingface/transformers/issues/37930 | 3,036,114,729 | I_kwDOCUB6oc60928p | 37,930 | `compute_transition_scores` fails for vision-language models | {
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- `transformers` version: 4.48.3
- Platform: Linux-4.18.0-513.5.1.el8_9.x86_64-x86_64-with-glibc2.35
- Python version: 3.11.11
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.6.0+cu124 (True)
- Tens... | {
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Fixes #37918
this one was copied pasted across classes, and not corrected in the case with beam search -- we output the logits for all beams | {
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https://api.github.com/repos/huggingface/transformers/issues/37928 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37928/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37928/comments | https://api.github.com/repos/huggingface/transformers/issues/37928/events | https://github.com/huggingface/transformers/issues/37928 | 3,036,016,664 | I_kwDOCUB6oc609fAY | 37,928 | Updates in type-checking specifications have broken transformers' types | {
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- `transformers` version: 4.52.0.dev0 (commit fa3c3f9cab1c45b449bd57e238c511c79637e314; head of main branch as of writing)
- Platform: macOS-15.4.1-arm64-arm-64bit-Mach-O
- Python version: 3.13.2
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accele... | {
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https://api.github.com/repos/huggingface/transformers/issues/37927 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37927/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37927/comments | https://api.github.com/repos/huggingface/transformers/issues/37927/events | https://github.com/huggingface/transformers/issues/37927 | 3,035,993,878 | I_kwDOCUB6oc609ZcW | 37,927 | request the support for training support for QuantizationMethod.FP8 | {
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I was trying to fine tune unsloth/Qwen3-4B-FP8 with unsloth ad I have the following error
# code
```
from trl import SFTTrainer
from transformers import TrainingArguments
from unsloth import is_bfloat16_supported
trainer = SFTTrainer(
model = model,
tokenizer = tokenizer,
train_dataset =... | {
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https://api.github.com/repos/huggingface/transformers/issues/37926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37926/comments | https://api.github.com/repos/huggingface/transformers/issues/37926/events | https://github.com/huggingface/transformers/pull/37926 | 3,035,979,901 | PR_kwDOCUB6oc6UwG7- | 37,926 | refactor: background thread for CB | {
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"merged_at... | Building up on Arthur's work, adding a background thread for efficient processing of incoming inputs in an asynchronous manner. | {
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https://api.github.com/repos/huggingface/transformers/issues/37925 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37925/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37925/comments | https://api.github.com/repos/huggingface/transformers/issues/37925/events | https://github.com/huggingface/transformers/pull/37925 | 3,035,961,975 | PR_kwDOCUB6oc6UwDCz | 37,925 | [WIP] Add MM Grounding DINO | {
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Fixes #37744.
It adds support for MM Grounding DINO and LLMDet (inference only).
* I've added a weight conversion script and a modular transformers implementation.
* The forward pass works with 1e-3 tolerance compared to the original (checked tiny and large checkpoints).
* The tests a... | {
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Turns out notification service was failing in two places. I think the root issue stems from the github API, but regardless I think it makes sense to let the notification service report as much as it can.
One where there was a mismatch between t... | {
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https://api.github.com/repos/huggingface/transformers/issues/37923 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37923/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37923/comments | https://api.github.com/repos/huggingface/transformers/issues/37923/events | https://github.com/huggingface/transformers/pull/37923 | 3,035,802,952 | PR_kwDOCUB6oc6Uvgcy | 37,923 | Fix tot update in trainer | {
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Fixed incorrect calculation of update steps per epoch and micro steps in the last step of an epoch when gradient_accumulation > 1, which was introduced by #34198.
Added tests to ensure that the number of micro batches during training matches the number of micro batches provided by the data... | {
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