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https://api.github.com/repos/huggingface/transformers/issues/37822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37822/comments | https://api.github.com/repos/huggingface/transformers/issues/37822/events | https://github.com/huggingface/transformers/pull/37822 | 3,023,989,709 | PR_kwDOCUB6oc6UHf9Z | 37,822 | Added False case implementation for config.do_stable_layer_norm in FlaxWav2vec2Models | {
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"merged_at... | # What does this PR do?
In [FlaxWa2Vec2](https://github.com/huggingface/transformers/blob/397a5ede33863d6f7137c771a68d40036cac0396/src/transformers/models/wav2vec2/modeling_flax_wav2vec2.py#L953) there is no implementation when `config.do_stable_layer_norm` is false.
There are more chances that we will get this ... | {
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https://api.github.com/repos/huggingface/transformers/issues/37821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37821/comments | https://api.github.com/repos/huggingface/transformers/issues/37821/events | https://github.com/huggingface/transformers/pull/37821 | 3,023,954,003 | PR_kwDOCUB6oc6UHYTz | 37,821 | [config] revert #37603 | {
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"merged_at... | # What does this PR do?
#37603 introduced a regression by deleting a key from config which should not be deleted. This PR reverts the change
cc @BenjaminBossan to verify it works for PEFT
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https://api.github.com/repos/huggingface/transformers/issues/37820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37820/comments | https://api.github.com/repos/huggingface/transformers/issues/37820/events | https://github.com/huggingface/transformers/issues/37820 | 3,023,911,559 | I_kwDOCUB6oc60PTqH | 37,820 | When will transformers==4.51.4 be released? | {
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https://api.github.com/repos/huggingface/transformers/issues/37819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37819/comments | https://api.github.com/repos/huggingface/transformers/issues/37819/events | https://github.com/huggingface/transformers/pull/37819 | 3,023,581,331 | PR_kwDOCUB6oc6UGIKD | 37,819 | [llava] one pixel is missing from padding when length is odd | {
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"merged_at... | One pixel is missing from padding when length is odd in llava family and aria model which is different from the logic in LLaVA-NeXT repo. In LLaVA-NeXT, this is automatically done as its logic resize image first and paste (or overwrite) original image to it (https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/llava/mm_uti... | {
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https://api.github.com/repos/huggingface/transformers/issues/37818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37818/comments | https://api.github.com/repos/huggingface/transformers/issues/37818/events | https://github.com/huggingface/transformers/issues/37818 | 3,023,408,075 | I_kwDOCUB6oc60NYvL | 37,818 | Return type is not `List[...]`? | {
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The return type is a `Tuple`, which contradicts line 379 claiming the return type is a `List`? | {
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https://api.github.com/repos/huggingface/transformers/issues/37817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37817/comments | https://api.github.com/repos/huggingface/transformers/issues/37817/events | https://github.com/huggingface/transformers/issues/37817 | 3,023,327,810 | I_kwDOCUB6oc60NFJC | 37,817 | Dinov2 With Registers includes register tokens in patch token mean for classifier input | {
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- `transformers` version: 4.48.2
- Platform: Linux-4.18.0-553.50.1.el8_10.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.21
- Huggingface_hub version: 0.28.1
- Safetensors version: 0.5.2
- Accelerate version: 1.3.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.6.0+cu124 (False)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/37816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37816/comments | https://api.github.com/repos/huggingface/transformers/issues/37816/events | https://github.com/huggingface/transformers/issues/37816 | 3,023,119,725 | I_kwDOCUB6oc60MSVt | 37,816 | Failed to load santacoder on multi-gpu with 4.51.3 | {
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Hi, I just met another issue for loading [santacoder](https://huggingface.co/bigcode/santacoder) on multi-gpus with transformer 4.51.3.
```python
import transformers
model = transformers.AutoModelForCausalLM.from_pretrained('bigcode/santacoder/',
device_map='auto',
trust_remote_code=True)
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https://api.github.com/repos/huggingface/transformers/issues/37815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37815/comments | https://api.github.com/repos/huggingface/transformers/issues/37815/events | https://github.com/huggingface/transformers/issues/37815 | 3,023,026,644 | I_kwDOCUB6oc60L7nU | 37,815 | Misleading comment at image_processing_base.py | {
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I think it should be "imported by both image_processing_utils and image_processing_utils_fast". | {
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https://api.github.com/repos/huggingface/transformers/issues/37814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37814/comments | https://api.github.com/repos/huggingface/transformers/issues/37814/events | https://github.com/huggingface/transformers/pull/37814 | 3,022,980,885 | PR_kwDOCUB6oc6UEPoK | 37,814 | [RT-DETR] Improve docs | {
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This PR fixes a "todo" in the docs of RT-DETR. cc @SangbumChoi
Fixes #37800 | {
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https://api.github.com/repos/huggingface/transformers/issues/37812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37812/comments | https://api.github.com/repos/huggingface/transformers/issues/37812/events | https://github.com/huggingface/transformers/issues/37812 | 3,022,819,766 | I_kwDOCUB6oc60LJG2 | 37,812 | When will transformers 4.51.4 be released? | {
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transformer 4.51.3
python 3.12
### Who can help?
@amyeroberts
### 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 below)
### Re... | {
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Use ruff 0.13.0 and apply fixes. | {
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While there is debate about enabling the related RUFF rules, the changes can be applied first.
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Why does "is_causal = query.shape[2] > 1 and causal_mask is None"? Does it mean that `is_causal` `true` if there is no causal mask? I tend to think the opposite?
Thank you for ... | {
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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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- `transformers` version: 4.50.0.dev0
- Platform: Linux-5.8.0-63-generic-x86_64-with-glibc2.31
- Python version: 3.11.10
- Huggingface_hub version: 0.29.1
- Safetensors version: 0.5.3
- Accelerate version: 1.4.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: NO... | {
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This PR fixes the incorrect variable names of code examples in Qwen model's doc.
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This PR adds support per module configuration for torchao Also added per module quantization examples:
1. Quantizing different layers with different quantization configs
2. Skip quantization for certain layers
Test Plan:
python tests/quantization/torchao_integration/test_torchao.py -k test_include_emb... | {
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Correct a wrong tensor shape comment in Mamba modeling.
Fixes # (None, as no issue was explicitly mentioned)
The comment on line 307 of `src/transformers/models/mamba/modeling_mamba.py` incorrectly states the shape of the tensor `scan_output`. It should be `[batch, intermediade_size, se... | {
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- `transformers` version: 4.52.0.dev0
- Platform: Linux-5.15.167.4-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.0
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.5.2
### Who can help?
### Information
- [ ] The official example scripts
-... | {
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Fix typos in strings and comments found by codespell.
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https://huggingface.co/checkpoing/todo is a 404 page. I do not known how to change it, just remove the link. If also remove "[checkpoing/todo]", the CI will encounter errors.
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This PR integrates the Hindi Causal Language Model developed by ConvAI Innovations (`convaiinnovations/hindi-foundational-model-base`) into the Hugging Face `transformers` library.
This allows users to easily load and use this publicly available Hindi language model using the standard `tra... | {
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This PR fixes a broken link in an error message in `hub.py`. A space is missing between the link and the following text.
## 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... | {
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"merged_at... | # What does this PR do?
Fixes # (issue) https://github.com/huggingface/transformers/issues/37794
## 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.com/huggingface/transformer... | null | {
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```
from transformers import AutoModel
model = AutoModel.from pretrained("Qwen/Qwen2.5-0mni-7B",torch dtype="auto"trust remote code=True)
```
will raise error：
### Who can help?
_No response_
### Information
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- `transformers` version: 4.51.3
- Platform: Linux-5.15.0-126-generic-x86_64-with-glibc2.35
- Python version: 3.12.9
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#36979,
This PR updates the model-card for the Granite model as described in https://github.com/huggingface/transformers/issues/36979,
## 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 [con... | {
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As per the title. https://github.com/huggingface/transformers/pull/37719 missed one location. Also fixes https://github.com/huggingface/transformers/issues/37765
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So I made a few experiments with whisper and seamless m4tv2 on the fleurs (concatenated files to 5min samples) dataset. I used the batching functionality by setting `chunk_length_s` to 30s and as is turns out the WER increases by **20%** over all languages compared to long form transcription (sequentia... | {
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Align gpt2. This was a race condition in merging order of https://github.com/huggingface/transformers/pull/37612 and https://github.com/huggingface/transformers/pull/35761
It causes the following error https://app.circleci.com/pipelines/github/huggingface/transformers/128019/workflows/ba65aa... | {
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- `transformers` version: 4.51.3
- Platform: Linux-6.1.123+-x86_64-with-glibc2.35
- Python version: 3.11.12
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.5.2
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.6.0+cu124... | {
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As per the title, following the vulnerability report received. `torch.load` in unsafe even with `weights_only=True` for any version < 2.6
Whenever we do not have `weights_only=False` explicitly, either from user input or internally, we should raise an Error asking to upgrade torch.
This... | {
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Fix typos in strings and comments found by codespell.
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described in #37777
fix errors in #34198
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What we need is:
- [x] Identical naming for special multimodal tokens, same way as we have `config.pad_token_id` (https://github.com/huggingface/transformers/pull/37573)
- ... | {
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"merged_at... | `pytest -rA tests/models/internvl/test_modeling_internvl.py`
137 cases PASSED, 4 failed cases are same as CUDA, will investigate in separate efforts.
FAILED tests/models/internvl/test_modeling_internvl.py::InternVLModelTest::test_resize_embeddings_untied_with_deepspeed
FAILED tests/models/internvl/test_modeling_... | {
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transformers 4.51.3
python3.9
### Who can help?
Ascend NPU: @ivarflakstad
### 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 dat... | {
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latest main
### Who can help?
@ArthurZucker
### 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)
### Reproduction
num_ex... | {
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- `transformers` version: 4.51.3
- Platform: Linux-6.8.0-52-generic-x86_64-with-glibc2.35
- Python version: 3.11.9
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.... | {
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Python 3.8.17
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
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"merged_at... | # What does this PR do?
This allows us to add arguments `disable_compile` and `compile_config` while calling `from_pretrained` and control `torch.compile` from the user program.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did ... | {
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] | open | false | null | [] | null | [] | 2025-04-24T21:50:32 | 2025-04-25T19:02:22 | null | NONE | null | null | null | null | ### Feature request
Here’s an example:
User: Hello make a python function for something
Assistant: Here’s an function for that:
def function():
pass
<codetests> ← This is a line we tuned the model to generate
import pytest
assert foo == bar
</codetests> ← Execute the tests right after this token was predicted
Result... | null | {
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"merged_at... | # 🚀 Add AvaModel: A Scalable & Efficient LLM Architecture
## Overview
This PR introduces **AvaModel**, a new transformer-based language model architecture designed for high performance across different scales (100M to 100B parameters).
## Architecture Highlights
```python
AvaForCausalLM(
(model): AvaMod... | {
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Vectorize deepseek moe
## Who can review?
Models:
- text models: @ArthurZucker
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unpin pytest<8 to see if we get rid of
> Too long with no output (exceeded 10m0s): context deadline exceeded
as discussed internally https://huggingface.slack.com/archives/C01NE71C4F7/p1745514692206779?thread_ts=1745423231.198669&cid=C01NE71C4F7 | {
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transformers 4.47.1
### Who can help?
@ArthurZucker
### 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)
### Reproduction... | {
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### System Info
Hi, I just installed transformers 4.51.3 on linux system with nvidia gpu.
When I tried to run below code snippet
```python
import transformers
model = transformers.AutoModelForCausalLM.from_pretrained('bigcode/santacoder', device_map='auto', trust_remote_code=True)
```
Meanwhile, I set below envs
... | {
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https://api.github.com/repos/huggingface/transformers/issues/37764 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37764/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37764/comments | https://api.github.com/repos/huggingface/transformers/issues/37764/events | https://github.com/huggingface/transformers/pull/37764 | 3,017,772,336 | PR_kwDOCUB6oc6Ty0Fb | 37,764 | Define warmup allocator for torchao quantization | {
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Since when computing the total number of bytes of a torchao quantized model using : `param_byte_count = param.numel() * param.element_size()` the `param.element_size()` is not correct, we need to account for that and have a factor of 4 for `int8` models and a factor of `8` for `int4` models | {
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Add update_tp_plan() to Qurak
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https://api.github.com/repos/huggingface/transformers/issues/37760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37760/comments | https://api.github.com/repos/huggingface/transformers/issues/37760/events | https://github.com/huggingface/transformers/pull/37760 | 3,017,589,967 | PR_kwDOCUB6oc6TyM1u | 37,760 | [deps] pin max `torch` version | {
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At a first glance, `torch==2.7.0` results in very big slowdowns with `torch.compile` -- >10x slower in my test runs
This PR pins `torch` while we investigate it.
_____________________________________
Benchmark script:
```py
import copy
import os
import torch
from torch.utils imp... | {
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https://api.github.com/repos/huggingface/transformers/issues/37759 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37759/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37759/comments | https://api.github.com/repos/huggingface/transformers/issues/37759/events | https://github.com/huggingface/transformers/pull/37759 | 3,017,524,940 | PR_kwDOCUB6oc6Tx-tL | 37,759 | Fix auto-round hfoption | {
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Fixes `auto-round` docs using `hfoption`
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See https://github.com/huggingface/transformers/issues/37737 | {
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"merged_at... | Two [PEFT tests are actually failing](https://github.com/huggingface/transformers/actions/runs/14632303734/job/41057310419#step:13:241):
- `tests/peft_integration/test_peft_integration.py::PeftIntegrationTester::test_delete_adapter`
- `tests/peft_integration/test_peft_integration.py::PeftIntegrationTester::test_pef... | {
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(I didn't run slow tests before merging #37709 , the CPU tests of the push ci didn't caught this issue)
reproducer, requires GPU
```py
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct")
model = AutoMode... | {
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Environment install:
pip install vllm==0.8.4
### 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] My own task or dataset (give details... | {
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python 3.9
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
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Accordin... | {
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"merged_at... | Our Space for autoconverting code fails with custom code models, which causes problems when a custom code model only has Pytorch checkpoints!
This PR resolves this by not launching the autoconversion thread when the model is custom code! | {
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Followup of #37644 | {
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- `transformers` version: 4.51.3
- Platform: Linux-5.15.167.4-microsoft-standard-WSL2-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyT... | {
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https://api.github.com/repos/huggingface/transformers/issues/37747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37747/comments | https://api.github.com/repos/huggingface/transformers/issues/37747/events | https://github.com/huggingface/transformers/pull/37747 | 3,016,903,476 | PR_kwDOCUB6oc6Tv3ei | 37,747 | updated hidden_features for FlaxDinov2SwiGLUFFN in Dinov2 | {
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"merged_at... | # What does this PR do?
Fixes #37745
## Changes made
[FlaxDinov2SwiGLUFFN](https://github.com/huggingface/transformers/blob/b6d65e40b256d98d9621707762b94bc8ad83b7a7/src/transformers/models/dinov2/modeling_flax_dinov2.py#L400) has only 2 attributes (config,dtype). It doesn't have hidden_features attribute. So... | {
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"merged_at... | # What does this PR do?
Follow up of [this commment](https://github.com/huggingface/transformers/pull/37444#issuecomment-2801489013)
Skip all `AriaForConditionalGenerationIntegrationTest` except `test_tokenizer_integration` on `T4` runner.
These tests uses [this repository](https://huggingface.co/rhymes-ai/Ari... | {
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While running Dinov2 model in Flax for giant variant, I am encountering an error as
> AttributeError: "FlaxDinov2SwiGLUFFN" object has no attribute "hidden_features".
There should be a typo [here](https://github.com/huggingface/transformers/blob/72e4844059cf0d7d01f0dfca20a9834cef82c133/src/transfor... | {
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Hi,
MM Grounding DINO is MMDetection's implementation of Grounding DINO. It improves zero-shot detection performance quite a bit (especially on LVIS) and is very similar to the original Grounding DINO implementation-wise. I'm mostly interested in it because they also have checkpoints for models ... | {
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As per title, makes it available in all VLMs where it was not added. This PR is another small part of vLLM integration for multimodality
Would be nice to update a few audio LLMs we have, but qwen2-audio is a mess and we can update it only after cleaning up deprecations. Granite Speech is... | {
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This PR complements the BitNet integration introduced in [#37503](https://github.com/huggingface/transformers/pull/37503) created and refined by @shumingma, addressing the remaining review comments ahead of merging.
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Fixes https://github.com/huggingface/transformers/issues/37301
In torch-xla version 2.7, `xm.xrt_world_size()` is replaced by `xr.world_size() `and `xm.get_ordinal()` is replaced by `xr.global_ordinal()`
Should be safe to switch since it was added in the torch_xla 2.1 release https://gith... | {
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As per the title. If an error arises in the middle of downloading tokenizer files, it was not properly raised and would propagate `None` values instead (because the check was performed on all files, i.e. aither they all pass or they all miss, but we may fail in the middle due to e.g. timeout) | {
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https://api.github.com/repos/huggingface/transformers/issues/37737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37737/comments | https://api.github.com/repos/huggingface/transformers/issues/37737/events | https://github.com/huggingface/transformers/issues/37737 | 3,016,551,507 | I_kwDOCUB6oc6zzOxT | 37,737 | Failed to load model with transformers 4.51.3 when WORLD_SIZE set to 1 on nvidia gpu | {
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Hi, I just installed transformers 4.51.3 on linux system with nvidia gpu.
When I tried to run below code snippet
```python
import transformers
model = transformers.AutoModelForCausalLM.from_pretrained('openai-community/gpt2-medium', device_map='auto')
```
I got below error message:
```bash
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https://api.github.com/repos/huggingface/transformers/issues/37736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37736/comments | https://api.github.com/repos/huggingface/transformers/issues/37736/events | https://github.com/huggingface/transformers/issues/37736 | 3,016,463,645 | I_kwDOCUB6oc6zy5Ud | 37,736 | ValueError: GGUF model with architecture deci is not supported yet. | {
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ValueError: GGUF model with architecture deci is not supported yet.
### Motivation
ValueError: GGUF model with architecture deci is not supported yet. (Nvidia Nemotron 2025)
### Your contribution
I could help in maybe programming | {
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https://api.github.com/repos/huggingface/transformers/issues/37735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37735/comments | https://api.github.com/repos/huggingface/transformers/issues/37735/events | https://github.com/huggingface/transformers/pull/37735 | 3,016,345,337 | PR_kwDOCUB6oc6Tt9-Y | 37,735 | Fix Float64 RuntimeError on Integrated Graphics when using DirectML | {
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Fix Float64 RuntimeError on Integrated Graphics when using DirectML:
```
File "C:\Users\xxx\Downloads\MaterialSearchWindowsLarge\MaterialSearchWindows\Lib\site-packages\transformers\models\chinese_clip\modeling_chinese_clip.py", line 1277, in forward
extended_attention_mask: torch.... | {
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https://api.github.com/repos/huggingface/transformers/issues/37734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37734/comments | https://api.github.com/repos/huggingface/transformers/issues/37734/events | https://github.com/huggingface/transformers/issues/37734 | 3,016,209,496 | I_kwDOCUB6oc6zx7RY | 37,734 | `tokenizer` is still being used in `Trainer` instead of `processing_class` | {
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https://api.github.com/repos/huggingface/transformers/issues/37732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37732/comments | https://api.github.com/repos/huggingface/transformers/issues/37732/events | https://github.com/huggingface/transformers/pull/37732 | 3,015,996,360 | PR_kwDOCUB6oc6Tsylf | 37,732 | Support FlaxPreTrainedModel to load model checkpoint from local subfolder safetensors | {
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# What does this PR do?
Add support for loading FlaxpreTrainedModel checkpoint in safetensor format from subfolder in local directory.
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While running Flax Wav2Vec2 models like **FlaxWav2Vec2Model**, **FlaxWav2Vec2ForCTC,** **FlaxWav2Vec2ForPreTraining** , I am encountering an error as
`NotImplementedError: ``config.do_stable_layer_norm is False`` is currently not supported"`
when config.do_stable_layer_norm is False, currently [ther... | {
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<img width="619" alt="Image" src="https://github.com/user-attachments/assets/ca71a30e-6fde-4488-ad6f-f98e83247681" />
If I move the logits to the CPU in `preprocess_logits_for_metrics` due to GPU memory issues, it can cause an error in `gather_function`.
This happens because the tensors are no longer... | {
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"merged_at... | # What does this PR do?
Initial effort to add `torch.expport` support for the Gemma3 model!
Gemma3 provides a 1b variant that is suitable for `ExecuTorch` to bring it for on-device use-case. This PR is focusing on creating the export recipe and validate the exported model can produce same output as eager.
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Enable Gemma3 model for ExecuTorch
### Motivation
See details in https://github.com/huggingface/transformers/issues/32253
### Your contribution
Enablement | {
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"merged_at... | ## Purpose ##
* Reduce pydantic warnings
```
...lib/python3.12/site-packages/transformers/utils/quantization_config.py:1336: PydanticDeprecatedSince20: The `dict` method is deprecated; use `model_dump` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.p... | {
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The issue at hand relates to the behavior of `accelerator.unwrap_model` when used with FSDP and `torch.compile`. The problem occurs when the model, wrapped by `torch.compile`, is not unwrapped correctly when saving, leading to a failure to save the model properly. Specifically, the `torch.compi... | {
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Fixes the flakiness pattern behind a [common flaky test](https://app.circleci.com/insights/github/huggingface/transformers/workflows/run_tests/tests?branch=main), `tests/models/kosmos2/test_modeling_kosmos2.py::Kosmos2ModelTest::test_generate_continue_from_past_key_values`
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