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Fixes https://github.com/huggingface/transformers/issues/38220, it's a shame we couldn't see it earlier in CI. Probably because mllama isn't available in EU 🥲
We should not repeat keys before calling attn, otherwise it is repeated twice. And remove `base_model_prefix` so the model can lo... | {
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As per the title. It would currently fail with `RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.`, at least when using TP.
Unfortunately, flex block mask and generate got... | {
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```
Collecting environment information...
PyTorch version: 2.8.0.dev20250519+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: ver... | {
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```
Collecting environment information...
PyTorch version: 2.8.0.dev20250519+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.5 LTS (x86_64)
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Description:
While reviewing the logic for determining function_to_apply in a classification pipeline, I came across the following condition:
`if self.model.config.problem_type == "multi_label_classification" or self.model.config.num_labels == 1:
function_to_apply = ClassificationFunction.SIGMOID
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When trying to export a Swin model using TorchScript, the process fails because the `forward()` method in `transformers/models/swin/modeling_swin.py` doesn't properly handle `Optional[torch.FloatTensor]` type for `pixel_values`. This causes issues during scripting as TorchScript requires explicit handlin... | {
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cc @AK391 | {
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https://api.github.com/repos/huggingface/transformers/issues/38215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38215/comments | https://api.github.com/repos/huggingface/transformers/issues/38215/events | https://github.com/huggingface/transformers/pull/38215 | 3,075,038,606 | PR_kwDOCUB6oc6Wybji | 38,215 | [CSM] infer codec model with no_grad + audio eos label | {
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"merged_at... | The codec model should be inferred with torch.no_grad()!
While this has no effect on training results, since the backpropagated gradients ultimately go to zero (as the loss is computed from the output of the codec model), the codec model’s parameters still remain part of the computational, gradients are unnecessarily ... | {
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https://api.github.com/repos/huggingface/transformers/issues/38214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38214/comments | https://api.github.com/repos/huggingface/transformers/issues/38214/events | https://github.com/huggingface/transformers/pull/38214 | 3,074,976,980 | PR_kwDOCUB6oc6WyN8W | 38,214 | Update BioGPT model card | {
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"merged_at... | # What does this PR do?
Replaced the previous model card for BioGPT by the standardized model card introduced in issue #36979
## Before submitting
- [x] This PR improves the docs only.
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-... | {
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https://api.github.com/repos/huggingface/transformers/issues/38213 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38213/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38213/comments | https://api.github.com/repos/huggingface/transformers/issues/38213/events | https://github.com/huggingface/transformers/pull/38213 | 3,074,724,337 | PR_kwDOCUB6oc6WxWmB | 38,213 | Fix: make docs work better with doc builder | {
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https://flax.readthedocs.io/en/latest/installation.html - old links
https://flax.readthedocs.io/en/latest/index.html#installation - new links | {
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https://api.github.com/repos/huggingface/transformers/issues/38211 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38211/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38211/comments | https://api.github.com/repos/huggingface/transformers/issues/38211/events | https://github.com/huggingface/transformers/pull/38211 | 3,074,522,058 | PR_kwDOCUB6oc6Wwqx3 | 38,211 | [CSM] update model id | {
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"merged_at... | We can now use the org model id!
cf[ hub PR](https://huggingface.co/sesame/csm-1b/discussions/45/files)
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https://api.github.com/repos/huggingface/transformers/issues/38210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38210/comments | https://api.github.com/repos/huggingface/transformers/issues/38210/events | https://github.com/huggingface/transformers/pull/38210 | 3,074,388,012 | PR_kwDOCUB6oc6WwNQI | 38,210 | Add support to Marimo Notebooks and Enverge.ai | {
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Adding support to Marimo notebooks so output rendering happens in Python instead of CLI mode.
This is necessary for anyone using Marimo notebooks or doing training at Enverge.ai
This is how using train() at Marimo current looks:
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https://api.github.com/repos/huggingface/transformers/issues/38209 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38209/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38209/comments | https://api.github.com/repos/huggingface/transformers/issues/38209/events | https://github.com/huggingface/transformers/pull/38209 | 3,074,377,018 | PR_kwDOCUB6oc6WwK21 | 38,209 | [Meta MTIA] Support hoisted rotary embeddings. | {
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"merged_at... | # What does this PR do?
At Meta MTIA, we need support for running the rotary embeddings on CPU. This PR simply allows passing the cos and sin as graph inputs rather than constructing them on accelerator.
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is goi... | null | {
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Testing this in a Colab T4 runtime.
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [x] 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 below)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/38207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38207/comments | https://api.github.com/repos/huggingface/transformers/issues/38207/events | https://github.com/huggingface/transformers/pull/38207 | 3,074,310,571 | PR_kwDOCUB6oc6Wv8Y8 | 38,207 | [fix] Add FastSpeech2ConformerWithHifiGan | {
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https://api.github.com/repos/huggingface/transformers/issues/38206 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38206/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38206/comments | https://api.github.com/repos/huggingface/transformers/issues/38206/events | https://github.com/huggingface/transformers/pull/38206 | 3,074,243,833 | PR_kwDOCUB6oc6Wvt1R | 38,206 | Remove trust_remote_code=True tests from bnb quantization tests (MPT now integrated) | {
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"merged_at... | This PR removes all tests in the bitsandbytes (bnb) quantization test suite that rely on `trust_remote_code=True`, specifically the `test_get_keys_to_not_convert_trust_remote_code` test and its usage of the MosaicML MPT model.
**Context and reasoning:**
- The MPT model is now directly integrated into Transformers a... | {
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https://api.github.com/repos/huggingface/transformers/issues/38205 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38205/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38205/comments | https://api.github.com/repos/huggingface/transformers/issues/38205/events | https://github.com/huggingface/transformers/pull/38205 | 3,074,197,597 | PR_kwDOCUB6oc6WvjgG | 38,205 | Add kernelize to transformers | {
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"merged_at... | # What does this PR do?
Instead of dynamically switching the `forward` methods using a decorator, we are exploring a new approach that performs this replacement statically within `modeling_utils.py`. This allows us to modify the `forward` methods at load time, which makes the kernels compile compatible.
Also the... | {
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https://api.github.com/repos/huggingface/transformers/issues/38204 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38204/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38204/comments | https://api.github.com/repos/huggingface/transformers/issues/38204/events | https://github.com/huggingface/transformers/pull/38204 | 3,073,893,257 | PR_kwDOCUB6oc6Wug3T | 38,204 | [image-text-to-text pipeline] Accept a chat as a positional arg | {
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"merged_at... | # What does this PR do?
See title.
Calling `pipe(chat)` is not working, but `pipe(text=chat)` is. Intuitivelly, if we prepare a chat message containing the full data, text and images, it should work as a positional argument.
### Example
```py
import torch
from transformers import pipeline
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https://api.github.com/repos/huggingface/transformers/issues/38203 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38203/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38203/comments | https://api.github.com/repos/huggingface/transformers/issues/38203/events | https://github.com/huggingface/transformers/issues/38203 | 3,073,704,595 | I_kwDOCUB6oc63NQKT | 38,203 | [Convert InternVL to HF format] TypeError: Received a NoneType for argument video_processor, but a BaseVideoProcessor was expected. | {
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] | closed | false | null | [] | null | [] | 2025-05-19T12:39:13 | 2025-05-28T15:14:57 | 2025-05-28T15:14:57 | NONE | null | null | null | null | ### System Info
- `transformers` version: 4.52.0.dev0
- Python version: 3.11.9
- Pytorch version: 2.5.1 + cu124
- GPU type: H20
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (... | {
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https://api.github.com/repos/huggingface/transformers/issues/38202 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38202/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38202/comments | https://api.github.com/repos/huggingface/transformers/issues/38202/events | https://github.com/huggingface/transformers/pull/38202 | 3,073,641,611 | PR_kwDOCUB6oc6Wtrqk | 38,202 | Fixs convert_internvl_weights_to_hf.py: support local path, special tokens, and key remapping | {
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"merged_at... | # What does this PR do?
This PR includes three improvements to the `convert_internvl_weights_to_hf.py` script for converting InternVL models:
- Allows loading model weights directly from a local path, enabling conversion without requiring remote downloads.
- For InternVL models based on the Qwen LM architecture,... | {
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https://api.github.com/repos/huggingface/transformers/issues/38201 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38201/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38201/comments | https://api.github.com/repos/huggingface/transformers/issues/38201/events | https://github.com/huggingface/transformers/pull/38201 | 3,073,537,519 | PR_kwDOCUB6oc6WtVEN | 38,201 | fix sliding window usage check | {
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"merged_at... | # What does this PR do?
Check usage of sliding window with use_sliding_window attribute in config.
I found it because some slow tests of llava onevision integration failed (like https://github.com/huggingface/transformers/blob/v4.51.3/tests/models/llava_onevision/test_modeling_llava_onevision.py#L343).
I'm not sur... | {
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https://api.github.com/repos/huggingface/transformers/issues/38200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38200/comments | https://api.github.com/repos/huggingface/transformers/issues/38200/events | https://github.com/huggingface/transformers/issues/38200 | 3,073,477,403 | I_kwDOCUB6oc63MYsb | 38,200 | convert_internvl_weights_to_hf.py does not support model in a local path | {
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- `transformers` version: 4.52.0.dev0
- Platform: Linux-6.1.0-34-amd64-x86_64-with-glibc2.36
- Python version: 3.11.2
- Huggingface_hub version: 0.31.2
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/38199 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38199/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38199/comments | https://api.github.com/repos/huggingface/transformers/issues/38199/events | https://github.com/huggingface/transformers/pull/38199 | 3,072,841,606 | PR_kwDOCUB6oc6Wq-KB | 38,199 | Working | {
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"merged_at... | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/38198 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38198/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38198/comments | https://api.github.com/repos/huggingface/transformers/issues/38198/events | https://github.com/huggingface/transformers/pull/38198 | 3,072,594,914 | PR_kwDOCUB6oc6WqIeO | 38,198 | [doc] fix bugs in `how_to_hack_models.md` | {
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"merged_at... | ## What does this PR do?
When following the tutorial in `how_to_hack_models.md`, I find that I got multiple errors:
1. task_type "mask-generation" is invalid:
```bash
Traceback (most recent call last):
File "/home/sdp/fanli/transformers/../test_doc.py", line 72, in <module>
config = LoraConfig(
File "<... | {
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"merged_at... | # What does this PR do?
The `verbose` arg in `torch.optim.lr_scheduler.LRScheduler` was [removed](https://github.com/pytorch/pytorch/commit/fb1b7ec173a34ae5cccf140e2ad6ed3f05a7892e#diff-036a7470d5307f13c9a6a51c3a65dd014f00ca02f476c545488cd856bea9bcf2L95) in PyTorch 2.7.0, and the corresponding init func of `LayerWis... | {
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Sync the latest DDP kwargs with [DistributedDataParallelKwargs](https://github.com/huggingface/accelerate/blob/main/src/accelerate/utils/dataclasses.py#L181).
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https://api.github.com/repos/huggingface/transformers/issues/38195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38195/comments | https://api.github.com/repos/huggingface/transformers/issues/38195/events | https://github.com/huggingface/transformers/pull/38195 | 3,072,322,675 | PR_kwDOCUB6oc6WpOX7 | 38,195 | [docs] add Audio import | {
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"merged_at... | ## What does this PR do?
As the title suggest, the Audio import is missing from the code example. This PR fixes this.
cc @stevhliu
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As the title suggests, this PR adds the XPU environment variable.
cc @stevhliu
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As the title suggests, this PR fixes some minor bugs in the code examples.
cc @stevhliu
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```
transformers.__version__='4.51.2'
torch.__version__='2.6.0+cu124'
sys.version='3.10.17 (main, Apr 16 2025, 15:03:57) [GCC 12.1.1 20220628 (Red Hat 12.1.1-3)]'
```
### Who can help?
@SunMarc @zach-huggingface
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### T... | {
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- `transformers` version: 4.52.0.dev0
- Platform: Linux-4.19.90-vhulk2211.3.0.h1543.eulerosv2r10.aarch64-aarch64-with-glibc2.31
- Python version: 3.10.5
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: not found
- DeepSpeed version: 0.16... | {
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Florence-2 is a VLM model, which always in top 10 most downloaded VLMs on huggingface.
This PR continues https://github.com/huggingface/transformers/pull/34160, adds support for Florence-2.
Fixes:
- https://github.com/huggingface/transformers/issues/34155
- https://github.com/kijai/Co... | {
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N/A (This is a documentation issue, not related to system environment)
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task... | {
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I've been exploring the transformers library implementation of GPT-2 and noticed something interesting regarding the embedding dropout mechanism. I wanted to share an observation that might be worth considering.
In reviewing the code at:
https://github.com/huggingface/transformers/b... | {
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This PR adds SVE kernel support specific to Mamba Model on ARM architecture.
This PR contributions are:
- Sequential Scan algorithm of Mamba model is implemented using SVE intrinsics and openMP pragmas and replaces the original naive Sequential Scan algorithm.
- All data moments are limited ... | null | {
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According to the Gemma-3 technical report, they used different eos tokens for the PT and IT models (see Table 4 in https://arxiv.org/pdf/2503.19786). Specifically, the pre-trained model (PT) uses <eos>, while the instruct-tuned (IT) model uses <end_of_turn>.
My question is: if one wants to further fine-tune the in... | {
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The pre_tokenizer function Whitespace() has a misleading name that sent me on a multi-hour treasure hunt trying to troubleshoot vocabulary issues. As it turns out, it additionally splits on non-Whitespace characters like e.g. Hyphens. It took looking at Rust code and/or following cryptic RegEx expres... | {
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Reduces the verbosity of bad generation config attribute warnings by default, with an env variable to control verbosity. Although users might get unexpected results when these warnings exist, most of the time they are harmless, so let's be less verbose by default.
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cc @ArthurZucker
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It causes too much issues and confusion. There is no working solution for now. I will contact CircleCI. | {
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`git log -n 1` sometimes get
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Those commands are only to show some information when working on some changes, we don't really need them. | {
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```
transformers version: 4.51.3
Platform: Linux
Python version: 3.10.14
PyTorch version (GPU?): 2.2.2 (CUDA available: True)
Huggingface Hub version: 0.31.2
Safetensors version: 0.5.3
Accelerate version: 1.7.0
Accelerate config: Not configured
TensorFlow version (GPU?): Not installed
Flax version (CPU... | {
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Update import path of AdamW4bit and AdamW8bit for torchao >= 0.11.0 | {
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# What does this PR do?
Update import path of AdamW4bit and AdamW8bit for torchao > 0.11.0
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"merged_at... | # What does this PR do?
Added adam_kwargs for the Apollo optimizer.
The [apollow_adamw](https://github.com/zhuhanqing/APOLLO/blob/main/apollo_torch/adamw.py#L41) optimizer is built based on the AdamW. It also takes kwargs for AdamW during initialization. This PR fixes the missing kwargs for it.
## Before sub... | {
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"merged_at... | # What does this PR do?
Fixes distributed loss test failed as mentioned in https://github.com/huggingface/transformers/pull/35743#issuecomment-2883577747
## 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 [contribu... | {
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System info not really relevant as the bug is root caused in my description below.
- `transformers` version: 4.51.3
- Platform: Windows-10-10.0.26100-SP0
- Python version: 3.11.9
- Huggingface_hub version: 0.31.2
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not foun... | {
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- `transformers` version: 4.51.3
- Platform: Linux-6.12.0-58.el10.x86_64-x86_64-with-glibc2.39
- Python version: 3.12.9
- Huggingface_hub version: 0.31.2
- Safetensors version: 0.5.3
- Accelerate version: 1.5.2
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?)... | {
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"merged_at... | for some fused test cases, since in `autoawq`, they are using [`flash_attn_func`](https://github.com/casper-hansen/AutoAWQ/blob/main/awq/modules/fused/attn.py#L270) from [`flash_attn`](https://github.com/casper-hansen/AutoAWQ/blob/main/awq/modules/fused/attn.py#L11), XPU hasn't support flash attention yet, and since `a... | {
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Using `Llama4TextConfig` on `AutoModel.from_config` raises a `ValueError` when it is expected to instantiate a `Llama4TextModel`. This PR adds `Llama4TextModel` to the `AutoModel` mapping.
```python
import accelerate
import transformers
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Fixes https://github.com/huggingface/transformers/issues/37375
Raise relevant error when torchvision is not available and an image processor has only a fast version (like Llama4) instead of trying to fall back on a slow processor. | {
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transformers_version: 4.52.0.dev0
python: 3.10
### Who can help?
@ArthurZucker @SunMarc @qubvel @zucchini-nlp
### Information
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This Pull Request introduces a comprehensive comparison example that evaluates `gpt2` and `distilgpt2` across multiple prompts, execution runs, model sizes, and language modeling quality (perplexity).
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transformers `main` branch, python 3.12.
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_No response_
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Allow to process images with low resolution, found this limitation while evaluating model on the MMMU-pro benchmark
Reroduction:
```python
from PIL import Image
from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
model = Qwen2_5_VLForConditionalGeneration.from_... | null | {
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The issue is that we have always been saving audio and image processors under the same config name (preprocessor_config.json) which was totally fine until the recent release of omni models. Now if we try to save the omni-model processor, only the last attribute's config is saved and it overwr... | {
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"merged_at... | ## Summary
This Pull Request adds a runnable example to the `examples/pytorch/text-generation/` directory demonstrating how to control text generation behavior in GPT2 using:
- `temperature` for randomness control
- `top_k` for limiting token choices
- `num_return_sequences` for generating multiple outputs
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"merged_at... | ## Context
Pixtral support for `ALL_ATTENTION_FUNCTIONS` was added in [this PR](https://github.com/huggingface/transformers/pull/37960), but a subsequent [rebase](https://github.com/huggingface/transformers/pull/37576) unintentionally modified a line that sets `attention_mask` to `None` when using Flash Attention 2.... | {
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"merged_at... | this test fails for fast tokenizers with
`TypeError: _batch_encode_plus() got an unexpected keyword argument 'max_target_length'`
the `max_target_length=10` param is not required for this test anyway | {
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Fixes (partially) https://github.com/huggingface/transformers/issues/38121, and verifies all VLMs have their respective getters/setters for embeddings and the decoder. | {
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We currently save audio and image processors under the same config name (`preprocessor_config.json`) which was totally fine until the recent release of omni models. After qwen-omni release if we try to save the processor, only the last attribute's config is saved and it overwrites all previou... | {
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>
> 
>
>
> transformers 4.48.3
> opencv-python 4.10.0.84
>
> @purusharthmalik
_Originally posted by @leemengwei... | {
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Master branch
The result of `speed_metrics` is not logged or saved
https://github.com/huggingface/transformers/blob/4005e30c804f9b3a9dbf45d019f6ca1cdc4d774c/src/transformers/trainer.py#L3656
### Who can help?
@zach-huggingface @SunMarc
### Information
- [ ] The official example scripts
- [ ] M... | {
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# What does this PR do?
Save speed metrics to logs.
Fixes # (issue)
## 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 [contrib... | {
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Qwen3 MoE config: add tp plan for expert mlps
tested via vllm
@ArthurZucker
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CC: @ArthurZucker
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"merged_at... | # What does this PR do?
Context: We found that the vLLM implementation of OLMo 2 models sometimes NaNs (https://github.com/allenai/olmo-cookbook/issues/60). Investigation revealed that this was caused by vLLM converting float32 models to float16 by default. Follow-up investigation revealed that OLMo 2 models in the ... | {
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pip list |grep transf; python --version; uname -a
transformers 4.51.3
Python 3.12.10
Linux gap 6.11.10+bpo-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.11.10-1~bpo12+1 (2024-12-19) x86_64 GNU/Linux
### Who can help?
@zach-huggingface @SunMarc
### Information
- [ ] The official example scrip... | {
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"merged_at... | # What does this PR do?
TL;DR our defaults for text generation are very outdated. Most notably, the default maximum length.
This PR adds the tooling to easily add pipeline-specific `generate` defaults, and adds new defaults to all pipelines that call `generate`.
⚠️ ⚠️ ⚠️
In all pipelines that call `genera... | {
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Environment Details:
• transformers version: 4.51.3
• tokenizers version: (e.g., 0.21.1 or the version pip installed with transformers 4.51.3)
• torch version: 2.7.0 (with MPS available and built)
• Python version(s) tested: 3.10.17 (Homebrew), 3.11.12 (Homebrew)
• Operating System: macOS Sequoia ... | {
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Fixes https://github.com/huggingface/transformers/issues/38115 and re-enables `compile` for Qwen-VL models
Tested slow `pytest -k compile` and `pytest -k static` tests on these models, now they are green and there are no recompilations. I also did a sanity check and generated with real mod... | {
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"merged_at... | Per @ydshieh’s instructions, requesting approval from @gante to run slow tests :)
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Now that the image processor is merged, we can add processor tests as well. Note: the tests will be failing for now, I found that audio and image configs are saved with the same filename and thus overwrite each other 😮
I will be first fixing the audio processor save filename in a separat... | {
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