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https://api.github.com/repos/huggingface/transformers/issues/39336 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39336/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39336/comments | https://api.github.com/repos/huggingface/transformers/issues/39336/events | https://github.com/huggingface/transformers/issues/39336 | 3,219,035,401 | I_kwDOCUB6oc6_3pUJ | 39,336 | TypeError: GenerationMixin._extract_past_from_model_output() got an unexpected keyword argument 'standardize_cache_format' | {
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It works latest with transformers==4.43.4
with transformers==4.44.0 and forward I get below error
but I need to use latest version of transformers since currently 4bit quantization fails on some gpus and platforms
how can i fix this issue?
`TypeError: GenerationMixin._extr... | {
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Qformer doesn't use cache and is not generative, this PR deprecates it for one version. We'll remove all usage of cache in non-generative models after 4.55 :)
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Transformers version: 4.53.1
PyTorch version: 2.6.0+cu124
Python version: 3.11.13
CUDA version: 12.4
GPU: Tesla T4
### Who can help?
```
ImportError Traceback (most recent call last)
[/tmp/ipython-input-9-1994488020.py](https://localhost:8080/#) in <cell line: 0>()
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This PR fixes a critical TypeError in the Qwen2.5-VL model that occurs when processing attention masks with integer dtypes. The error torch.finfo() requires a floating point input type was preventing model inference when using frameworks like Unsloth.
Problem
The issue occurs in modeling_qwen2_... | {
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There are now quantised GGUF versions of Gemma 3n models available on Hugging Face (e.g. https://huggingface.co/unsloth/gemma-3n-E2B-it-GGUF). Currently they can be run with other backends, but I'd like to have support for them with the `transformers` library.
If I run:
```python
from transformers... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/39324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39324/comments | https://api.github.com/repos/huggingface/transformers/issues/39324/events | https://github.com/huggingface/transformers/pull/39324 | 3,217,545,538 | PR_kwDOCUB6oc6eNf8e | 39,324 | [Bugfix] [Quantization] Remove unused init arg | {
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"merged_at... | ## Purpose ##
* Remove argument which is not used by the CompressedTensors QuantizationConfig
* https://github.com/neuralmagic/compressed-tensors/blob/main/src/compressed_tensors/quantization/quant_config.py#L138-L144
## Changes ##
* Remove `run_compressed` from list of QuantizationConfig init kwargs | {
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"merged_at... | # What does this PR do?
In the Multiple Choice example, the Readme file includes the instruction
```bash
python examples/pytorch/multiple-choice/run_swag.py \
--model_name_or_path FacebookAI/roberta-base \
--do_train \
--do_eval \
--learning_rate 5e-5 \
--num_train_epochs 3 \
--output_dir /tmp/swag_base \
... | {
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https://api.github.com/repos/huggingface/transformers/issues/39322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39322/comments | https://api.github.com/repos/huggingface/transformers/issues/39322/events | https://github.com/huggingface/transformers/pull/39322 | 3,217,449,819 | PR_kwDOCUB6oc6eNMEM | 39,322 | Remove do_reduce_labels Argument from model initialization in run_semantic_segmentation_no_trainer | {
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"merged_at... | # What does this PR do?
When running ```run_semantic_segmentation_no_trainer.py``` from ```example/pytorch/semantic-segmentation``` using the command provided in the Readme file:
```bash
accelerate launch run_semantic_segmentation_no_trainer.py --output_dir segformer-finetuned-sidewalk --with_tracking --push_to_... | {
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"merged_at... | # What does this PR do?
Using ExitStack makes it easier to extend the functionality of the context manager wrapping the `model(inputs)` call. This can make it easier to add other things like logging contexts, checkpointing contexts, etc down the road.
e.g.
```python
class CustomTrainer(Trainer):
def comp... | {
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"merged_at... | Implementation of the feature requested in #39319 (please look at the issue for more info).
The file add_paper_dates_on_docs.py inside utils contains the main code.
Current trivial strategy:
Collect the paper id from the first link to hf papers -> use arxiv api to get the dates -> write the dates info below the... | {
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The model docs should have the dates of publication and last update of the paper mentioned. There should also be the date when this model was add to the transformers library.
### Motivation
Since there are so many models in transformers, it is hard to realize which models are relevant and more u... | {
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When running a copy-paste code of '4.48.3', log mel spectogram values are not padded to the length required by the model. This is the exact error message:
```
ValueError: Whisper expects the mel input features to be of length 3000, but found 585. Make sure to pad the input mel features to 3000.
```
It... | {
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"merged_at... | Hello!
## Pull Request overview
* Fix typo: langauge -> language
## Details
I noticed this typo on the [T5Gemma docs](https://huggingface.co/docs/transformers/model_doc/t5gemma), should speak for itself π€
Documentation: @stevhliu
P.s. these don't seem to be working correctly: `<hfoptions id="usage"> <hf... | {
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https://api.github.com/repos/huggingface/transformers/issues/39316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39316/comments | https://api.github.com/repos/huggingface/transformers/issues/39316/events | https://github.com/huggingface/transformers/pull/39316 | 3,216,657,370 | PR_kwDOCUB6oc6eKew3 | 39,316 | skip files in `src/` for doctest (for now) | {
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"merged_at... | # What does this PR do?
Fix #39159
Merge directly as
https://github.com/huggingface/transformers/issues/39159#issuecomment-3045160413 | {
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welcome @stevhliu | {
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Race condition on modular conversion for Deepseek v2 + a few docstrings at the same time. | {
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Multiple things were wrong with the tests:
- The expected outputs. I created this gist to reproduce **new** expected outputs (as not possible to reproduce previous ones): https://gist.github.com/ebezzam/bb315efa7a416db6336a6b2a2d424ffa
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These 2 tests are never passing after (#31436) , as we didn't update the expected outputs after
Rename Phi-3 rope scaling type (#31436) | {
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Linux
transformers==4.52.4
bitsandbytes==0.46.1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give detai... | {
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As per the title. See related discussion in https://github.com/huggingface/transformers/pull/39194
Also cc @BenjaminBossan, sorry again for the inconvenience on this one!
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"merged_at... | fix `tests/pipelines/test_pipelines_automatic_speech_recognition.py::AutomaticSpeechRecognitionPipelineTests::test_speculative_decoding_whisper_distil`
which has
```
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As per the title. See added examples. Needed for #39301 as well
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As discussed with the core maintainer(s) offline.
For the record, the trace log (after #39120) is
```bash
> traced_model = torch.jit.trace(model, (main_input,))
tests/test_modeling_common.py:1453:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _... | {
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"merged_at... | @amyeroberts @Narsil
## Fixes #31356
**Issue**: Object Detection Pipeline only outputs first element when batching
## Solution
The Object Detection Pipeline now correctly handles batched inputs, returning results for all images in the batch instead of just the first one.
## Verification
- Single image proc... | null | {
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It updates the model card for Switch Transformer by following a new standardized format
#36979
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](https://github.com... | {
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The differences are actually minor (mostly at the end of the outputs)
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- `transformers` version: 4.50.3
- Platform: Windows-11-10.0.26100-SP0
- Python version: 3.13.2
- Huggingface_hub version: 0.30.1
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: NO
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Fixes https://github.com/huggingface/transformers/issues/39290
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copy of #39261 -- see the discussion there for more references
(I did a bad force push and bricked the PR π€ ) | {
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"merged_at... | Fixes https://github.com/huggingface/transformers/issues/38439
Tested on CPU and NPU, both works out-of-box.
In this case, the HQQ dependency is installed by
```
DISABLE_CUDA=1 pip install git+https://github.com/mobiusml/hqq.git
```
## Who can review?
- quantization (bitsandbytes, autogpt): @SunMarc @Mek... | {
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"merged_at... | ### System Info
- transformers version: 4.54.0.dev0
- Platform: Linux-5.4.119-19.0009.28-x86_64-with-glibc2.31
- Python version: 3.10.16
- Huggingface_hub version: 0.31.1
- Safetensors version: 0.4.5
- Accelerate version: 0.22.0.dev0
PyTorch version (GPU?): 2.6.0+cu124 (True)
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bitsandbytes==0.46.0
transfomers==4.51.3
Python 3.9.21
### Who can help?
@SunMarc @MekkCyber
### 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 data... | {
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"merged_at... | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/39288 and brings back `_supports_flash_attn3=True` flags in all models where FA2 is supported
I believe the flag was deleted by accident, but lmk if that was intended | {
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Adds the implementation of the LookAhead (LA) models. These models are designed to predict not only the next immediate token after the input prompt, but also the second, third, ... up to K next tokens. These tokens can be used to mitigate the high inference latency in generation (see [this su... | null | {
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"merged_at... | Add support for Kwai-Keye/Keye-VL-8B-Preview model
## Description
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Transformers version: 4.17.0
Platform: Linux-5.15.0-43-generic-x86_64-with-debian-bookworm-sid
Python version: 3.7.12
PyTorch version: 1.13.1+cu117
TensorFlow version: 2.11.0
Flax version: Not installed
Tokenizers version: 0.13.3
HuggingFace Hub version: 0.16.4
Datasets version: 2.13.2
Is CUDA availabl... | {
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- `transformers` version: 4.53.1
- Platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.31
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"merged_at... | Was going crazy with tests failing on Sam2 after merging with main, turns out there's a typo in SAM after https://github.com/huggingface/transformers/pull/39120
Cc @ArthurZucker | {
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As per title
### Motivation
Would like better performance.
### Your contribution
Let me know if you need any more details | {
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This enables gradient checkpointing for timm wrapped models.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CO... | {
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Fixes #39285
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
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- Platform: macOS-15.5-arm64-arm-64bit
- Python version: 3.10.16
- Huggingface_hub version: 0.30.0
- Safetensors version: 0.5.2
- Accelerate version: 1.8.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.5.1 ... | {
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"merged_at... | Bumps [transformers](https://github.com/huggingface/transformers) from 4.48.0 to 4.52.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/huggingface/transformers/releases">transformers's releases</a>.</em></p>
<blockquote>
<h2>Patch release v4.51.3</h2>
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Fixes qwen2vl position id tensor for create_causal_mask. Qwen2VL uses a 3d embedding system for [time, x, y] dimensions, however `create_causal_mask` expects a 1d position id and will cause errors in this line https://github.com/huggingface/transformers/blob/0cf27916f09a1a99af55ef4f2f3e867537... | {
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* Fixes issue with saving offloaded modules with offloaded submodules whose parent is also offloaded
* Sometimes `get_state_dict_from_offload` will update the state dict with meta tensors, since `align_module_device` only aligns direct parameters, not submodule parameters. If these submodule parameter... | {
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Found it flaky today in https://app.circleci.com/jobs/github/huggingface/transformers/1816845
(7 failed in a run of 5000 times)
After this PR, all 5000 runs pass | {
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- `transformers` version: 4.54.0.dev0
- Platform: Linux-5.15.0-105-generic-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.33.0
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: not found
- DeepSpeed version: 0.17.1
- PyTorch version (accelerat... | {
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With a single `include_num_input_image_tokens_seen` flag in the `TrainingArguments` (here with `SFTConfig`), you can report the number of visual tokens seen by the model.
Example:
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from trl import SFTConfig
# Configure training arguments using SFTConfig
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Fixes docs, causing red CI
- aimv2 bad return docstring (from #36625)
- `glossary` missing from the Korean table of contents (from #38804) | {
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As described in the issue, this PR updates the model card for the encoder decoder model with an additional translation example. I have also re-added the contributor names for the Mamba and Mamba-2 models which were previously removed by me. Please let me know if any modifications are required an... | {
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https://api.github.com/repos/huggingface/transformers/issues/39271 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39271/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39271/comments | https://api.github.com/repos/huggingface/transformers/issues/39271/events | https://github.com/huggingface/transformers/pull/39271 | 3,211,844,081 | PR_kwDOCUB6oc6d6M08 | 39,271 | [smollm3] add tokenizer mapping for `smollm3` | {
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Adds a tokenizer mapping for `smollm3`, which fixes the following script
```py
from transformers import pipeline
# tokenizer is infered from the model, through the tokenizer mapping
pipe = pipeline("text-generation", model="HuggingFaceTB/SmolLM3-3B-Base")
pipe("Once upon a time,")
`... | {
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https://api.github.com/repos/huggingface/transformers/issues/39270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39270/comments | https://api.github.com/repos/huggingface/transformers/issues/39270/events | https://github.com/huggingface/transformers/pull/39270 | 3,211,727,330 | PR_kwDOCUB6oc6d5zTL | 39,270 | fix recompiles due to instance key, and deepcopy issues | {
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Deep copy and recompiles should be fixed | {
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transformers==4.51.3
python==3.10.16
torch==2.7.0+cu128
### Who can help?
@amyeroberts @qubvel
### 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 dat... | {
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Translated the quark.md file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (λ²μ λλ½/μ€λ³΅ κ²μ¬)
- [x] Grammar Check (λ§μΆ€λ² κ²μ¬)
... | {
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Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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```bash
Traceback (most recent call last):
File "/home/cx/miniconda3/envs/demo/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 767, in convert_to_tensors
tensor = as_tensor(value)
File "/home/cx/miniconda3/envs/demo/lib/python3.10/site-packages/transformers/tokenizat... | {
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https://api.github.com/repos/huggingface/transformers/issues/39265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39265/comments | https://api.github.com/repos/huggingface/transformers/issues/39265/events | https://github.com/huggingface/transformers/pull/39265 | 3,210,866,744 | PR_kwDOCUB6oc6d26YX | 39,265 | Refactor label name handling for PEFT models in Trainer class | {
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Fix https://github.com/huggingface/trl/issues/3694
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING... | {
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https://api.github.com/repos/huggingface/transformers/issues/39264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39264/comments | https://api.github.com/repos/huggingface/transformers/issues/39264/events | https://github.com/huggingface/transformers/pull/39264 | 3,210,482,985 | PR_kwDOCUB6oc6d1osQ | 39,264 | Fix: Add version check for timm to support mobilenetv5 models (fixes #39208) | {
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"merged_at... | ### What does this PR do?
Fixes issue #39208: Adds a version check for `timm` to ensure support for models like `mobilenetv5_300m_enc`, which require `timm >= 0.9.10`.
### Motivation
The issue occurred because the `mobilenetv5_300m_enc` model name was not recognized in older versions of `timm`. This PR adds a ... | null | {
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"merged_at... | ## Purpose ##
* Fixes https://github.com/huggingface/transformers/issues/39097
* Enables models with multiple groups of shared tensors to be saved
* For example, the token_embeds and lm_head weights are one group of shared tensors
* Right now, only one group can be shared at a time, as indicated by `tied_names ... | {
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https://api.github.com/repos/huggingface/transformers/issues/39262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39262/comments | https://api.github.com/repos/huggingface/transformers/issues/39262/events | https://github.com/huggingface/transformers/pull/39262 | 3,210,236,695 | PR_kwDOCUB6oc6d0zcy | 39,262 | Improve ELECTRA documentation with explanations and helpful links | {
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"merged_at... | ## What does this PR do?
Improves the ELECTRA model documentation following the standardized format outlined in #36979.
## Changes Made
- β
Added explanatory comments to Pipeline and AutoModel code examples
- β
Added "Quick Links" section with popular ELECTRA models on HuggingFace Hub
- β
Included additional... | {
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"merged_at... | Currently, giving `cache_position` to `model.generate` is broken because providing any tensor value to it results in performing a boolean test, which causes a runtime error. This PR fixes it.
This is basically an oversight in the change commited in #37986 --- the code path is untested.
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https://api.github.com/repos/huggingface/transformers/issues/39260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39260/comments | https://api.github.com/repos/huggingface/transformers/issues/39260/events | https://github.com/huggingface/transformers/issues/39260 | 3,209,799,793 | I_kwDOCUB6oc6_Uahx | 39,260 | Please help i am trying to run model but issue | {
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# install libraries
# Uninstall broken stable PyTorch
!pip uninstall -y torch torchvision torchaudio
# Install latest nightly PyTorch compatible with Python 3.12 (for CPU)
!pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu
!pip install transformers==4.41.2 pef... | {
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https://api.github.com/repos/huggingface/transformers/issues/39259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39259/comments | https://api.github.com/repos/huggingface/transformers/issues/39259/events | https://github.com/huggingface/transformers/pull/39259 | 3,209,640,901 | PR_kwDOCUB6oc6dyzOY | 39,259 | fix failing `test_sdpa_can_dispatch_on_flash` | {
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"merged_at... | # What does this PR do?
we were adding the token first and then doing a check, leading to the number of tokens being 1 more than the`max_new_tokens`
This fix reorders the logic to:
1. Check completion conditions (EOS token or max length) before adding the token
1. Only add the token if we haven't exceeded the l... | {
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https://api.github.com/repos/huggingface/transformers/issues/39257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39257/comments | https://api.github.com/repos/huggingface/transformers/issues/39257/events | https://github.com/huggingface/transformers/pull/39257 | 3,209,565,516 | PR_kwDOCUB6oc6dyimt | 39,257 | Fix to tuple conversion with config | {
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"merged_at... | # What does this PR do?
setting `return_dict=False` with config fails for models with sub-models wrapped with `can_return_tuple` or `check_model_inputs`
```py
import torch
from transformers import LlamaConfig, LlamaForCausalLM
config = LlamaConfig(vocab_size=256, hidden_size=128, num_hidden_layers=2, num_at... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/39256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39256/comments | https://api.github.com/repos/huggingface/transformers/issues/39256/events | https://github.com/huggingface/transformers/issues/39256 | 3,209,435,987 | I_kwDOCUB6oc6_TBtT | 39,256 | ModuleNotFoundError: No module named 'habana_frameworks.torch' | {
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Hi,
I finetuned unsloth/Meta-Llama-3.1-8B-Instruct model and tried to run code below on CPU;
```
model_name = "orkungedik/ege-8b-1.0"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name,torch_dtype="auto", device_map="auto")
```
And getting ... | {
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https://api.github.com/repos/huggingface/transformers/issues/39255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39255/comments | https://api.github.com/repos/huggingface/transformers/issues/39255/events | https://github.com/huggingface/transformers/pull/39255 | 3,209,387,449 | PR_kwDOCUB6oc6dx8bD | 39,255 | remove broken block | {
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"merged_at... | # What does this PR do?
Removes an unused (and broken) block in modular model converter. Tested on a few modular conversions, as long as we don't use `return super().<...method...>` it will not cause issues.
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"merged_at... | # What does this PR do?
Use the helper functions to set the norm layers to have eps=1.0 to avoid numerical issues.
Now the following pass
> RUN_SLOW=1 python3 -m pytest -v -n 6 --flake-finder --flake-runs=500 tests/models/kosmos2/test_modeling_kosmos2.py::Kosmos2ModelTest::test_eager_matches_sdpa_generate
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"merged_at... | # What does this PR do?
Add trust_remote_code parameter to LightGlue config so that LightGlue can be used with other not implemented keypoint detectors than SuperPoint.
With `from_pretrained`, `trust_remote_code` is not provided to the config, so I had to include it into the config itself as an attribute.
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As per the title. This is useful for modular with models to be released | {
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"merged_at... | Fix #38725
Coming from #38725, previously, e18f233f6c8cba029324e2868fb68abdaf6badf3 attempted to fix the default attention mask issue that appeated with #34464, but it was still failing the slow test `tests/models/moshi/test_modeling_moshi.py::MoshiIntegrationTests::test_moshika_greedy_unconditional_fp16`
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"merged_at... | # What does this PR do?
This PR fixes several minor but important issues across the codebase:
1. **License text completion** in Italian documentation
2. **Code syntax error** in Perceiver model conversion script
3. **Typo in metadata constant** name
## Changes Made
### π Documentation Fix
- **File**: ... | {
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- `transformers` version: 4.53.1
- Platform: Linux-5.15.0-105-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.33.2
- Safetensors version: 0.4.5
- Accelerate version: 1.2.1
- Accelerate config: not found
- DeepSpeed version: 0.17.1
- PyTorch version (accelerator?)... | {
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"merged_at... | # What does this PR do?
For skip, see [this comment](https://github.com/huggingface/transformers/pull/38510#discussion_r2121138005). Let's make the CI report clean though for now.
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Improve the pytest testing for GLM-4.1V. | {
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* This PR for deprecated kernels of ms_deform_attn support fp16.
<!-- Remove if not applicable -->
## Who can review?
@amyeroberts | {
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As per title, reported internally that slow tests are failing. We need to apply same changes as in VLMs to the models that use VLMs in their architecture
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- `transformers` version: 4.54.0.dev0
- Platform: Linux-5.15.0-1047-oracle-x86_64-with-glibc2.35
- Python version: 3.12.11
- Huggingface_hub version: 0.33.1
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: not found
- DeepSpeed version: 0.17.1
- PyTorch version (accelera... | {
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"merged_at... | ## What does this PR do?
Improves the RoBERTa model documentation following the standardized format outlined in #36979.
## Changes Made
- β
Added explanatory comments to Pipeline and AutoModel code examples
- β
Added "Quick Links" section with popular RoBERTa models on HuggingFace Hub
- β
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An attempt for https://github.com/huggingface/transformers/issues/39105
## 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/b... | {
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transformers 4.53.1
### Who can help?
@amyeroberts, @qubvel
### 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)
### Re... | {
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"merged_at... | # Moment-P Sampling Implementation for Hugging Face Transformers
## Overview
This implementation adds a new sampling method called "Moment-P" to the Hugging Face Transformers library. Moment-P is a novel sampling technique that filters tokens based on the moment (sum of probabilities raised to a power) of the pro... | null | {
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} | https://api.github.com/repos/huggingface/transformers/issues/39236/timeline | null | null | null | null | true | false |
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