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https://api.github.com/repos/huggingface/transformers/issues/37721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37721/comments | https://api.github.com/repos/huggingface/transformers/issues/37721/events | https://github.com/huggingface/transformers/pull/37721 | 3,014,537,836 | PR_kwDOCUB6oc6Tn14Z | 37,721 | [tests, `qwen2_5_omni`] fix flaky tests | {
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cc @zucchini-nlp
Fixes two `qwen2_5_omni` flaky issues:
1. Typo in the model name in `VLM_CLASS_NAMES` (used to skip tests) -> model was not being skipped -> flaky tests
2. `qwen2_5_omni` has a new config attribute corresponding to a token that can't be used in the output | {
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https://api.github.com/repos/huggingface/transformers/issues/37720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37720/comments | https://api.github.com/repos/huggingface/transformers/issues/37720/events | https://github.com/huggingface/transformers/issues/37720 | 3,014,509,551 | I_kwDOCUB6oc6zrcPv | 37,720 | Quantized int8 model evaluation using TP - only Tensors of floating point dtype can require gradients | {
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When I test quantized int8 model with TP, the following error occurred: only Tensors of floating point dtype can require gradients
Detail:
[rank0]: File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/tensor_parallel.py", line 658, in shard_and_distribute_module
[rank0... | {
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https://api.github.com/repos/huggingface/transformers/issues/37719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37719/comments | https://api.github.com/repos/huggingface/transformers/issues/37719/events | https://github.com/huggingface/transformers/pull/37719 | 3,014,478,010 | PR_kwDOCUB6oc6Tnoj5 | 37,719 | Expand quantized data type support for tensor parallelism | {
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Update the tensor parallel for support generic quantized tensor with data type like int8 and scalar tensor.
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https://api.github.com/repos/huggingface/transformers/issues/37718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37718/comments | https://api.github.com/repos/huggingface/transformers/issues/37718/events | https://github.com/huggingface/transformers/pull/37718 | 3,014,458,195 | PR_kwDOCUB6oc6TnkHu | 37,718 | [cache] fix `HybridCache` init when `device` is passed | {
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The following example, where we initialize the model with the `device` argument, results in cuda graph skips. It can be traced to a stray change in https://github.com/huggingface/transformers/pull/37007, where the device initialization was incorrectly changed. This PR reverts it.
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https://api.github.com/repos/huggingface/transformers/issues/37717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37717/comments | https://api.github.com/repos/huggingface/transformers/issues/37717/events | https://github.com/huggingface/transformers/pull/37717 | 3,014,450,494 | PR_kwDOCUB6oc6TniZt | 37,717 | check torch 2.7 | {
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check torch 2.7 | {
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https://api.github.com/repos/huggingface/transformers/issues/37716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37716/comments | https://api.github.com/repos/huggingface/transformers/issues/37716/events | https://github.com/huggingface/transformers/pull/37716 | 3,014,424,852 | PR_kwDOCUB6oc6TncvV | 37,716 | :rotating_light: :rotating_light: Fix custom code saving | {
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Now `post_process_semantic_segmentation` function generates [N, H, W] resized segmentation maps, but sometimes user might need [N, C, H, W] resized class probabilities.
Maybe it's worth adding a bool optional argument (named e.g. `class_proba`) to `post_process_semantic_segmentation` that will con... | null | {
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Update the tensor parallel for support generic quantized tensor with data type like int8 and scalar tensor.
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- `transformers` version: 4.51.3
- Platform: Windows-10-10.0.26100-SP0
- Python version: 3.10.17
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.6.0+cu126 (Tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/37712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37712/comments | https://api.github.com/repos/huggingface/transformers/issues/37712/events | https://github.com/huggingface/transformers/issues/37712 | 3,014,277,687 | I_kwDOCUB6oc6zqjo3 | 37,712 | Very slow model instantiation | {
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`transformers` version: 4.51.3
- Platform: Linux-6.8.0-57-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?... | {
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"merged_at... | Right now, a couple of InternVL tests are failing on `main`. I'm going to skip them for now to stop blocking other PRs, but it would be good to fix and un-skip them! cc @yonigozlan @zucchini-nlp | {
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https://api.github.com/repos/huggingface/transformers/issues/37710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37710/comments | https://api.github.com/repos/huggingface/transformers/issues/37710/events | https://github.com/huggingface/transformers/issues/37710 | 3,014,225,174 | I_kwDOCUB6oc6zqW0W | 37,710 | Can't perform inference with images on Gemma-3-12b-it-qat-int4.0 | {
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hi, i am a noob here. please can you share a code snippet for how to use this gemma 3 version to perform inference on images? specific i want it to filter images from an input folder into different output folder based on a set of criteria i outline in the prompt. the prompt tells it to answer yes or no... | {
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`torch.compile` + model CPU offload is resulting in crashes. It should work in theory, but it's not working atm.
```py
from transformers import AutoModelForCausalLM, AutoTokenizer
device_map = {"model.embed_tokens": 0, "model.layers.0": 0, "model.layers.1": "cpu", "model.norm": "cpu", ... | {
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https://api.github.com/repos/huggingface/transformers/issues/37708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37708/comments | https://api.github.com/repos/huggingface/transformers/issues/37708/events | https://github.com/huggingface/transformers/pull/37708 | 3,014,134,723 | PR_kwDOCUB6oc6Tmc-M | 37,708 | [Fix] Fixing tp_plan is None error for caching_allocator_warmup | {
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https://api.github.com/repos/huggingface/transformers/issues/37707 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37707/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37707/comments | https://api.github.com/repos/huggingface/transformers/issues/37707/events | https://github.com/huggingface/transformers/pull/37707 | 3,014,078,968 | PR_kwDOCUB6oc6TmQjm | 37,707 | TransfoXL is deprecated, don't keep it in tested examples! | {
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```text
- transformers version: 4.51.2
- Platform: Linux-6.8.0-1021-aws-x86_64-with-glibc2.35
- Python version: 3.12.8
- 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?... | {
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https://api.github.com/repos/huggingface/transformers/issues/37705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37705/comments | https://api.github.com/repos/huggingface/transformers/issues/37705/events | https://github.com/huggingface/transformers/issues/37705 | 3,013,753,326 | I_kwDOCUB6oc6zojnu | 37,705 | [i18n-Chinese] Translating model_doc/bert.md to Chinese | {
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https://api.github.com/repos/huggingface/transformers/issues/37704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37704/comments | https://api.github.com/repos/huggingface/transformers/issues/37704/events | https://github.com/huggingface/transformers/pull/37704 | 3,013,721,221 | PR_kwDOCUB6oc6TlCCV | 37,704 | fix: learning_rate logged as tensor causing save issue with deepspeed | {
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DO NOT MERGE
CI image builder for #37700 | {
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IMO... | {
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Reverts the removed dep in #37676 , and documents why
(TL;DR: `sacrebleu` is not in present `transformers`. However, calling `evaluate.load("sacrebleu")` requires it, and our `Trainer` tests use it under the hood, through the `run_translation.py` example) | {
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Yet the clip tokenizer has a straightout bug:
```
>> from transformers import CLIPTokenizer
>> tokenizer = CLIPTokenizer.from_pretrained('openai/clip-vit-base-patch32')
>> token = 'my'
>> print(
tokenizer.convert_tokens_to_ids... | {
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When using Flash Attention2 on Ascend NPU, we have found that CPU memory keep increasing when calling func `npu_flash_attn_varlen_func` or `npu_flash_attn_func`.
The root cause is that the attention mask generated by func `torch.ones()` is initially defined on the CPU side, occupying CPU ... | {
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Fixes torchao docs examples after https://github.com/huggingface/transformers/pull/37592
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As per title, passing empty list of images triggers `image_processor` call which in turn fails. It's because we usually check for `Noneness` in processors
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"merged_at... | # What does this PR do?
torch 2.7 is out today, but it causes strange issues , see below
Let's pin 2.6 for now on CircleCI
### error log
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Fix typos in comments found by codespell.
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Fixes https://github.com/huggingface/transformers/issues/37680
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`model = Qwen2_5OmniForConditionalGeneration.from_pretrained("Qwen/Qwen2.5-Omni-7B")` get error `AttributeError: type object 'Qwen2_5OmniConfig' has no attribute 'thinker_config'`
https://github.com/huggingface/transformers/blob/1d9743edc2030e8444... | {
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"merged_at... | The tests `RUN_SLOW=1 pytest -rA tests/models/mpt/test_modeling_mpt.py::MptIntegrationTests::test_generation_batched` got result error on XPU.
The outputs of the MPT model are slightly different from CUDA, we need another result check for XPU. Besides, we need to use require_deterministic_for_xpu so xpu can get stab... | {
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"merged_at... | # What does this PR do?
- Since the `get_text_config` references an instance variable within the class (`self.thinker_config`), the `get_text_config` method should not be a classmethod.
- Before this fix, users were getting the following error:
''' AttributeError: type object 'Qwen2_5OmniConfig' has no... | {
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"merged_at... | A small PR enabling `save_pretrained()` for FSDP2, it only changes the method of getting the state dict as `model.state_dict()` returns a sharded one for FSDP2 ([change documented here](https://github.com/pytorch/torchtitan/blob/main/docs/fsdp.md)), we need to use the `get_model_state_dict()` API.
In conjuction with ... | {
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For some reason llama4 sent input_ids to embed_tokens.weight.device before passing the data. This is not done in llama:
https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/modeling_llama.py#L534
Additionally llama4 sends `cache_position.to(self.device)`, al... | null | {
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For multimodal models, it is often required to pass kwargs indicating how the passed inputs have been sampled for the Processor: `fps` for video inputs, `sampling_rate` for audio inputs.
Such values can be set as default values for in `ModelProcessorKwargs`, nevertheless they are not passe... | null | {
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Using the latest `transformers v4.51.3` and Python 3.11.9 on Linux (but the problem is platform generic), tokenization with `apply_chat_template` when setting `tokenize = True` behaves differently from first calling `apply_chat_template` and then `encode` on the result of that.
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https://api.github.com/repos/huggingface/transformers/issues/37685 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37685/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37685/comments | https://api.github.com/repos/huggingface/transformers/issues/37685/events | https://github.com/huggingface/transformers/pull/37685 | 3,011,626,848 | PR_kwDOCUB6oc6Td9B7 | 37,685 | [cleanup] remove `/model_cards` 🧹 🧹 | {
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"merged_at... | # What does this PR do?
As also discussed with @LysandreJik -- `/model_cards` holds a README regarding the old model cards, which used to live in `transformers`. We have long moved away from them :) | {
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https://api.github.com/repos/huggingface/transformers/issues/37684 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37684/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37684/comments | https://api.github.com/repos/huggingface/transformers/issues/37684/events | https://github.com/huggingface/transformers/pull/37684 | 3,011,613,641 | PR_kwDOCUB6oc6Td6N9 | 37,684 | [tests] reorganize cache tests and clean memory between tests | {
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#37394 introduces a cache change, but there are several cache test issues at the moment, preventing a clean merge.
This PR:
1. Removes the `@slow` decorator from a few tests (change pulled from #37394)
2. Deletes `test_static_cache_greedy_decoding_pad_right`, as it doesn't make sense to ... | {
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Hello!
In the [`evaluation_loop`](https://github.com/huggingface/transformers/blob/v4.51.1/src/transformers/trainer.py#L4442) method, there is an interplay between the `batch_eval_metrics` and `include_for_metrics` arguments. When `include_for_metrics` is set to `inputs`, what is sent to `compute_met... | {
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This PR addresses an issue where `DonutProcessor` ignores certain valid image preprocessing keyword arguments, such as `random_padding`, `do_thumbnail`, and `do_align_long_axis`, when they are passed directly during the processor call.
**Problem:**
When using the processor as shown below, t... | {
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"merged_at... | lots of duplicate code for `create_token_type_ids_from_sequences`, we can refactor by updating the base function!
However I think it should also be internalized (see https://github.com/huggingface/transformers/pull/37522) as it's only used internally by `prepare_for_model` for **slow tokenizers only**.
Questions... | {
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https://api.github.com/repos/huggingface/transformers/issues/37680 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37680/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37680/comments | https://api.github.com/repos/huggingface/transformers/issues/37680/events | https://github.com/huggingface/transformers/issues/37680 | 3,011,476,209 | I_kwDOCUB6oc6zf3rx | 37,680 | Transformer pipelines erroneously invokes torch | {
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As originally pointed out by @radoslav-dimitrov-indeavr (see [this comment](https://github.com/huggingface/transformers/pull/37307#issuecomment-2786494331)), PR #37307 adds a torch invocation to pipelines, which will cause pure tensorflow applications to break.
transformers/src/transformers/pipelines... | {
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https://api.github.com/repos/huggingface/transformers/issues/37679 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37679/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37679/comments | https://api.github.com/repos/huggingface/transformers/issues/37679/events | https://github.com/huggingface/transformers/issues/37679 | 3,011,461,004 | I_kwDOCUB6oc6zfz-M | 37,679 | This PR causes Transformers to error out when a model is using Tensorflow and the environment does not provide `torch` in any way | {
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transformers/src/transformers/pipelines/base.py:
```
if torch.distributed.is_initialized():
```
[Source](https://github.com/huggingface/transformers/blame/53... | {
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"merged_at... | We have a list of maintainers for various parts of the library in the issue template; this PR adds maintainers for backends like ROCm, XPU and Ascend NPU.
cc @ivarflakstad @IlyasMoutawwakil - let me know if you're okay with this! | {
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https://api.github.com/repos/huggingface/transformers/issues/37677 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37677/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37677/comments | https://api.github.com/repos/huggingface/transformers/issues/37677/events | https://github.com/huggingface/transformers/pull/37677 | 3,011,342,604 | PR_kwDOCUB6oc6TdAQH | 37,677 | [docs] only build `en` docs in push CI | {
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In our push CI, restrict the doc builder to `en`
- All languages: ~26 mins ([data point](https://github.com/huggingface/transformers/actions/runs/14597021526/job/40945447156))
- `en`: ~12 mins (this PR)
Pros:
- `en` has the full doc reference to class/methods (in other languages it is a... | {
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Removes old scripts in `/scripts` that have no cross-references in other parts of the code base nor recent updates, as chatted with @LysandreJik
Scripts removed:
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Update the model card for Gemma #36979
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create... | {
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This PR moves the definition of `_no_split_modules` for Llama4 pre-trained models from the base `Llama4PreTrainedModel` class to the subclasses so each model has the correct set of modules.
Otherwise loading the `Llama4ForCausalLM` currently fails because it doesn't have the `Llama4VisionE... | {
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transformers==4.51.3
Python version: 3.11
### Who can help?
@ArthurZucker @amyeroberts @qubvel
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or data... | {
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- `transformers` version: 4.51.0
- Platform: macOS-15.3.1-arm64-arm-64bit
- Python version: 3.12.9
- 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?): 2.6.0 (False)
- Te... | {
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docbuilder is crashing because we're closing more sections than we open | {
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Refactor bitsandbytes docs for better readability | {
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https://github.com/huggingface/transformers/pull/35926 moved the fp8 params from buffers to parameters (which makes sense), but the quantizer itself was not updated, so the parameters would still be added as buffers leading to duplicated weights (they would live as both buffers and parameters... | {
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<!--
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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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https://api.github.com/repos/huggingface/transformers/issues/37665 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37665/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37665/comments | https://api.github.com/repos/huggingface/transformers/issues/37665/events | https://github.com/huggingface/transformers/pull/37665 | 3,010,324,523 | PR_kwDOCUB6oc6TZjLn | 37,665 | [tests] fix `test_nemotron_8b_generation_sdpa` | {
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Not sure whether the model got updated, but `test_nemotron_8b_generation_sdpa` fails on CUDA. This PR fixes this by adding `max_new_tokens` to make it pass. Otherwise, you will get the following error:
```bash
def test_nemotron_8b_generation_sdpa(self):
text = ["What is the la... | {
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transformers version: 4.52.0.dev0(fee11906) latest main
- `transformers` version: 4.52.0.dev0
- Platform: Linux-5.15.0-131-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.30.2
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- `transformers` version: 4.52.0.dev0
- Platform: Linux-5.15.120.bsk.2-amd64-x86_64-with-glibc2.36
- Python version: 3.10.16
- Huggingface_hub version: 0.30.2
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- Accelerate config: not found
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FAILED tests/models/emu3/test_modeling_emu3.py::Emu3IntegrationTest::test_model_generate_images
PASSED tests/models/emu3/test_modeling_emu3.py::Emu3IntegrationTest::test_model_generation_batched
PASSED tests/models/emu3/test_modeling_emu3.py::Emu3IntegrationTest::test_model_generation_multi_image
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Adds fast image processor for Nougat model.
https://github.com/huggingface/transformers/issues/36978
## 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://g... | {
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Applies `min_pixels` and `max_pixels` values to video processor.
The values were taken from [the original processing codebase](https://github.com/QwenLM/Qwen2.5-Omni/blob/7c8dddb38d52a58ce57e778e10fa0eaf26e078e9/qwen-omni-utils/src/qwen_omni_utils/v2_5/vision_process.py#L30), which uses a ... | {
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Hi, I trained a tokenizers. Tokens contain spaces as well. When I decode the decode method add space between tokens and it makes it wrong I need to avoid them. How to do that?
from transformers import PreTrainedTokenizerFast
tokenizer = PreTrainedTokenizerFast.from_pretrained("muzaffercky/kurdish... | null | {
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"merged_at... | # What does this PR do?
The PR adds support for upcoming Granite4.0 models. It terms of model architecture, it is a hybrid class with shared MLP layer and Bamba layers.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case... | {
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It also updates the `chat` command to accept the model name or path as a positional argument as well as keyword argument.
This allows the following command:
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"merged_at... | # What does this PR do?
As per title, loading video with custom sampling has been changed recently and InternVL didn't have the update. Also PR modifies `content_image_token -> image_token`
@yonigozlan ideally we would have the same `fake_image_token` and `image_token`, which is used in vLLM to construct dummy te... | {
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"merged_at... | See L118 and L143 for the class attribute `hidden_dim`
# What does this PR do?
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This PR is to fix a model import problem mentioned in #37595 relating InternVL3 models
Fixes # (issue)
* Fixed loading InternVL model via AutoModel by adding ("internvl", "InternVLForConditionalGeneration") in MODEL_MAPPING_NAMES
* Fixed loading InternVLProcessor error while attributes... | {
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"merged_at... | Fix link reference in cache docs.
## 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/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
Pull Requ... | {
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"merged_at... | After fixing #37477 with #37525, a proper test was pending, so we ensure unknown Exceptions are properly re-raised.
Thanks again Cyril for the helpful review and guidance in the previous PR! Let me know if the test is adequate :)
## Who can review?
@Cyrilvallez | {
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Fixes many quantization failling tests | {
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"merged_at... | # What does this PR do?
originally reported in vllm: https://github.com/vllm-project/vllm/issues/14723#issuecomment-2817093067
- Gemma3 QAT GGUF checkpoint doesn't have `general.basename` field in metadata
- This PR handles this edge case to avoid `KeyError: 'general.name'` raising
## Before submitting
- [ ]... | {
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[Qwen1.5-MoE-A2.7B-Chat](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat)(https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat) is one of the models that is closest to DeepSeek with improvement. In the current state, FlashAttention is only implemented for GPUs. On the other hand, for TPU training,... | null | {
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"merged_at... | What does this PR do?
As suggested in this issue[ #issue-2947704577](https://github.com/huggingface/transformers/issues/36979#issuecomment-2817025078) - this PR updates the documentation of the CLIP model, which will now be aligned with the standardized format for all the docs.
Worked on mllama, Used AI , so please l... | {
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In vscode/pyright:
```python
from transformers import pipeline
```
Reports the type error:
```
"pipeline" is not exported from module "transformers"
Import from "transformers.pipelines" instead Pylance[reportPrivateImportUsage]
```
### Who can help?
@Rocketknight1
### Information
- [x] The offi... | {
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tests/trainer/test_trainer.py::TrainerIntegrationTest::test_galore_lr_display_with_scheduler
tests/trainer/test_trainer.py::TrainerIntegrationTest::test_galore_lr_display_without_scheduler
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tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_batched_generate
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"merged_at... | # Add support for manually setting `head_dim` in Qwen2 MoE
## Problem Description
Currently, in the Qwen2 MoE model, the `head_dim` is strictly set to `hidden_size // num_attention_heads`. This PR adds support for manually setting the `head_dim`, similar to the implementation in the Llama, Mistral, and Mixtral mo... | null | {
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**Add time-based evaluation strategy to Trainer**
This PR introduces a time-based evaluation, saving, and logging strategy to the Hugging Face `Trainer`. Previously, the Trainer only supported step-based intervals, which can be inconvenient when running on different hardware setups (e.g., ... | null | {
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transformers==4.51.3
I am trying to use a model using AutoModel.from_pretrained and it kept giving me this error.
OSError: Dream-org/Dream-v0-Instruct-7B does not appear to have files named ('model-00001-of-00004.safetensors', 'model-00002-of-00004.safetensors', 'model-00003-of-00004.safetensors'). C... | {
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This improves the logging in **examples/pytorch/text-classification/run_glue.py** by adding counts for different labels in train/validation/test datasets. The logs could be useful when working with classification tasks (spot class imbalance early, check data split consistency, etc).
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# What does this PR do?
Set default value for output_attentions parameter in Gemma2 and Gemma3
## 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... | {
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https://huggingface.co/microsoft/bitnet-b1.58-2B-4T/discussions/16
### Who can help?
?
### 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 (giv... | {
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"merged_at... | # What does this PR do?
This PR fixes the incorrect mrope position chunking function `get_chunked_index` in `modular_qwen2_5_omni`.
> The shape of `token_indices` for `modular_qwen2_5_omni.get_chunked_index` is `(3, seq_len)` in main branch
It takes a constant value `3` (comes from `len(token_indices)`) in th... | {
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https://api.github.com/repos/huggingface/transformers/issues/37630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37630/comments | https://api.github.com/repos/huggingface/transformers/issues/37630/events | https://github.com/huggingface/transformers/pull/37630 | 3,006,451,340 | PR_kwDOCUB6oc6TMzjK | 37,630 | Fix Gemma3ForCausalLM base_model_prefix | {
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The base model attribute for Gemma3ForCausalLM is "model", this updates the base_model_prefix accordingly so `model.base_model` correctly returns the Gemma3TextModel instance.
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"merged_at... | # What does this PR do?
Follow-up to #37447
This PR upgrades `test_generate_compile_model_forward` to catch recompilation issues. This is done by a) activating recompilation logs b) catching recompilation messages in the logs. The improved test would have failed with the changes that broke gemma 2/3 + compile 🤗... | {
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This PR updates the Swin Transformer model card (`swin.md`) to align with the new standardized format.
- Follows the template provided in #36979.
- Includes working Pipeline and AutoModel examples tested locally.
- Removed the `transformers-cli` example due to input handling inconsistenc... | {
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siglip2 finetune
### Motivation
siglip2 finetune
### Your contribution
no yet | null | {
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- `transformers` version: 4.51.3
- Platform: Linux-6.11.0-21-generic-x86_64-with-glibc2.39
- Python version: 3.12.4
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: NO
- mixed_prec... | {
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"merged_at... | # What does this PR do?
Update the model card for SigLIP2 to handle #36979
Fixes #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/huggingface/transformers/blob... | {
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<!--
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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.
Then, please replace this w... | null | {
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"merged_at... | Refactored Longformer docs
Added examples for pipeline, Automodel and cli
Added quantization
Did not add a Attention visualizer, from what I researched it doesn't support it, if it is not the case I am happy to add it !
Added a note concerning versions < 4.37.0.dev | {
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