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# What does this PR do?
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- an AttributeError when trying to retrieve BOI token in a `generation_kwargs` attribute that is not guaranteed to be in the config;
- three multiple devices errors (device map start with the wrong module, module split when it should not be, inputs on diff... | {
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Description
When attempting to load the “Conan-embedding-v2” model directly via transformers.AutoModel.from_pretrained, I get a ValueError indicating that the repo’s config.json lacks a model_type key. This prevents the Transformers library from inferring which model class to instantiate.
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Missing `@require_read_token`.
Now the 4 tests are all passing, good job @eustlb ! | {
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* Python 3.10.12
* transformers 4.42.4
### 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)... | {
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"merged_at... | This PR fixes [#38417](https://github.com/huggingface/transformers/issues/38417).
When passing an empty string to the Qwen2.5 tokenizer with return_tensors="pt", the original output was a float32 tensor.
This patch ensures a consistent torch.long dtype by returning torch.empty((1, 0), dtype=torch.long) for empty inpu... | null | {
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"merged_at... | # What does this PR do?
Fixes # #38419
## 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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- `transformers` version: 4.53.0.dev0
- Platform: Linux-5.10.0-34-cloud-amd64-x86_64-with-glibc2.31
- Python version: 3.9.2
- Huggingface_hub version: 0.32.2
- Safetensors version: 0.4.5
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/38417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38417/comments | https://api.github.com/repos/huggingface/transformers/issues/38417/events | https://github.com/huggingface/transformers/issues/38417 | 3,095,730,420 | I_kwDOCUB6oc64hRj0 | 38,417 | Tokenizer returns float32 tensor for empty string input instead of long dtype | {
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I found an unexpected behavior when using HuggingFace Transformers' tokenizer with an empty string as input. When I run the following code:
```python
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-0.5B", trust_remote_code=True)
input_ids = tokenizer("", return... | {
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In the new and existing model implementation,check if Liger Kernel and `use_liger_kernel` flag is on is installed and provide an alternative and more efficient efficient layer implementation. This moves the monkey-patch process in Liger-Kernel to transformes library.
```
self.norm = LlamaRMSNorm(c... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/38414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38414/comments | https://api.github.com/repos/huggingface/transformers/issues/38414/events | https://github.com/huggingface/transformers/pull/38414 | 3,094,787,967 | PR_kwDOCUB6oc6X1Azy | 38,414 | [docs] Format fix | {
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https://api.github.com/repos/huggingface/transformers/issues/38413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38413/comments | https://api.github.com/repos/huggingface/transformers/issues/38413/events | https://github.com/huggingface/transformers/pull/38413 | 3,094,769,913 | PR_kwDOCUB6oc6X085T | 38,413 | Fix CircleCI not triggered when PR is opened from a branch of `huggingface/transformers` | {
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This happens when a PR is opened by a team member (using a branch within `huggingface/transformers`). An empty commit could fix the issue. It's from a work of `converting PR to draft automatically`.
However, we stop doing so for now, so let's remove irrelevant code and fix this seeming st... | {
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Can't find something with 9b + 0414 + hf, the close one is `THUDM/GLM-4-9B-0414`.
All integration tests are passing now
@yao-matrix If you can approve, I can merge quickly so you can update for XPU if you want. | {
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Late edit, makes the patch helper more helpful
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```bash
[llm toolkit]: *** Train ***
[rank0]: Traceback (most recent call last):
[rank0]: File "/mnt/sdb... | {
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On all generation methods except greedy decoding, sampling, beam search, and speculative decoding, adds a soft-deprecation message.
This message asks users to add `trust_remote_code=True` to their `generate` calls before `v4.55.0`, as the plan is to move those generation methods into `cust... | {
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Cleanup PR: deletes unused arguments, deprecated in https://github.com/huggingface/transformers/pull/36282 🧹 | {
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- `transformers` version: 4.52.3
- `bitsandbytes` version: 0.45.5
- `vLLM` version: 0.8.5.post1
- Platform: Linux-5.15.0-1045-azure-x86_64-with-glibc2.35
- Python version: 3.10.16
- Huggingface_hub version: 0.32.1
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not foun... | {
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The new versioning induces the following error when trying to bundle a python script that contains imports from the transformers library.
```
File "functions\classify.py", line 1, in <module>
from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
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"merged_at... | ❗DRAFT PR DONT REVIEW❗
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 tokeni... | null | {
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Moves the deprecated `SinkCache` to a `custom_generate` repo: https://huggingface.co/transformers-community/sink_cache
Users importing `SinkCache` will see no issue for now. Users using `SinkCache` will get a message redirecting them to the Hub repo.
### Hub usage example:
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If the style bot push a commit (fixing style issue), it won't trigger doc-builder afterward.
In order to make it trigger, we could use `workflow_call` event, but we need to pass the safe commit (i.e. the new commit sha of the style fix) to prevent the the attack. | {
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This PR fixes https://github.com/huggingface/transformers/issues/36960
The issue that we were doing a check that was only supposed to be done on quantized models on all models.
### To reproduce
```python
from transformers import Mask2FormerConfig, Mask2FormerForUniversalSegmentation
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"merged_at... | # What does this PR do?
#36979
This PR updates the model card for OLMo2 using the template provided in #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/huggin... | {
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- `transformers` version: 4.52.3
- Platform: Linux-6.8.0-59-generic-x86_64-with-glibc2.39
- Python version: 3.10.16
- Huggingface_hub version: 0.32.1
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2... | {
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N/A
### Who can help?
@ydshieh
### 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
as title suggests, [... | {
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"merged_at... | # What does this PR do?
Add ColQwen2_5 in 🤗 transformers.
## Who can review?
- @yonigozlan
- @ArthurZucker
- @Cyrilvallez
## Additional details
The newly converted model weights are stored in qnguyen3/colqwen2_5-v0.2-hf.
## Progress checklist
- [x] Created script that successfully runs the forward() pas... | {
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"merged_at... | # What does this PR do?
Add ColQwen2_5 in 🤗 transformers.
## Who can review?
- @yonigozlan
- @ArthurZucker
- @Cyrilvallez
## Additional details
- The newly converted model weights are stored in `qnguyen3/colqwen2_5-v0.2-hf`.
## Progress checklist
- [x] Created script that successfully runs the for... | {
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"merged_at... | # Fix MedGemma torch compilation graph breaks
## What does this PR do?
This PR fixes a critical issue where MedGemma models (and other models inheriting from PaliGemma) fail to compile with `torch.compile()` due to graph breaks when accessing `_attn_implementation` during compilation.
## Problem
- **Issue**... | {
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"merged_at... | ## Summary
This PR fixes the Whisper inference regression reported in issue #38378 by implementing a backward-compatible solution that allows users to choose between the legacy and new logprob calculation methods.
## Problem
A regression was introduced in transformers v4.52.0 (commit da334bcfa) that changed th... | null | {
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A more verbose explanation in the `UserWarning` gives users more understanding to iterate on parameters.
Fixes https://github.com/huggingface/transformers/issues/36896
## Who can review?
@manueldeprada @Rocketknight1 @stevhliu @gante
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fixes import issues related to type hints, such that the CLIs are usable without torch
supercedes #38356 | {
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"merged_at... | # What does this PR do?
#37033 introduces the base models for all VLMs. The model weights will be converted by mapping the original keys according to
https://github.com/huggingface/transformers/blob/701caef704e356dc2f9331cc3fd5df0eccb4720a/src/transformers/models/qwen2_vl/modeling_qwen2_vl.py#L1735-L1738
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All tests now pass, except the following one
Detect and fix most `_init_weights()` issues - make it work for composite models (#37070)
fails
> tests/models/gemma/test_modeling_gemma.py::GemmaModelTest::test_sdpa_equivalence
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We should disable compile on CB for now as it breaks on mac.
Until we have a decorator that only applies it for mac devices | {
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This has no impact on Transformers itself, but should help with remote code, and makes a bit more sense in general (See https://github.com/huggingface/transformers/issues/38358 as well)
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Keep on adding more as you go 🔥
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WIP
Related issue: #38055
Allows each cache class to set their own extra `update` inputs, to allow e.g. the query states to be passed | {
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So quantization job also use the same notification script. | {
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] | closed | false | null | [] | null | [] | 2025-05-26T11:45:56 | 2025-09-04T16:17:59 | 2025-09-04T16:17:59 | NONE | null | null | null | null | ### System Info
I finetuned whisper-large-v3 using transformers version 4.51.3, I found that different transformers version leads to different results in inference, For short form (dataset evaluation for example) seems to be better on version 4.51.3 (i think after version 4.50.0) and timestamps long-form better on ver... | {
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] | open | false | null | [] | null | [] | 2025-05-26T11:41:19 | 2025-05-26T11:41:19 | null | NONE | null | null | null | null | ### Feature request
Take qwen3MoE unit test as an example:
if is_torch_available():
import torch
from transformers import (
Qwen3MoeForCausalLM,
Qwen3MoeForQuestionAnswering,
Qwen3MoeForSequenceClassification,
Qwen3MoeForTokenClassification,
Qwen3MoeModel,
)
Why no... | null | {
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As per the title! It was reported in https://github.com/huggingface/transformers/issues/38329!
`set_default_device` has been around for a long time, but not `get_default_device` interestingly! | {
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I am trying to run the [examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py](https://github.com/huggingface/transformers/blob/d1b92369ca193da49f9f7ecd01b08ece45c2c9aa/examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py) with HF Accelerate. I was abl... | {
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Fixes https://github.com/huggingface/transformers/issues/38352. Though we cannot handle in transformers videos of different shapes (yet!), it seems to be failing for vLLM
This PR ensures that videos are grouped not only by frame size, but also number of frames. A small test added and is gr... | {
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In the attention module (e.g., LLaMA or similar architectures), the line 262
attn_output = attn_output.reshape(*input_shape, -1)
implicitly assumes that hidden_size == num_heads * head_dim, which may not hold if one wants to configure a model with non-standard head sizes (e.g., head_dim = 48, nu... | {
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Fixes https://github.com/huggingface/transformers/issues/38331. We had two PRs merged one after another and the current state of PR while backwards compatible, will fail when users create a new Qwen-architecture model following the new standards | {
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Fixes https://github.com/huggingface/transformers/issues/38350
@DarkLight1337 , one quick question. I am trying to add a test on our side, so we don't break anything that vLLM relies on. For the case of aya-vision the error log shows inputs as (`text="<image>, images=None"`) but doing so w... | {
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As per the title | {
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**1. Problem 1**
Flex-attention has not been fully verified on Ascend NPU yet. In PR #37866 , the func `is_torch_flex_attn_available` defined in below code does not contain logical judgment about Ascend NPU. In this situation, when we use torch>=2.5.0, this func will return `True` on Ascend ... | {
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We remove the ForXXX that are not core, moving them to a more generic / general place as they never change for most models | {
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Output attention and hidden states logic can be reduced to basically attaching hooks to the `GradientCheckpointing` layer.
Refactored `can_return_tuple` as it can be much simpler :) only top level will receive `False`
This makes the code simpler and cleaner! | {
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This PR fixes the bug in Qwen2_5_VLProcessor, which would consistently logging "Unused or unrecognized kwargs: fps, return_tensors." during training. This issue seems to be introduced in #35206.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the othe... | {
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Fixes https://github.com/huggingface/transformers/issues/38341 and adds a test for that
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Add a feature with a KV cache compression algorithm named LagKV.
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transformers:4.53.0
torch:2.5.1+cpu
### Who can help?
@FightingZhen
### Information
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### Tasks
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- [x] My own task or dataset (give details below)
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I tried to run `transformers env` but encountered an error. However, I was able to gather the following system information:
- `transformers` version: 4.53.0.dev0
- Platform: Linux-5.15.0-60-generic-x86_64-with-glibc2.31
- Python version: 3.10.12
- PyTorch version (GPU?): 2.3.1+cu121 (Yes)
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transformers 4.52
### Who can help?
@ArthurZucker @hmellor
### Information
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- [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)
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This PR fixes a small but annoying typo.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#crea... | {
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2. enable `torchao` test cases on XPU
@ydshieh @IlyasMoutawwakil , pls help review, thx. | {
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Talked to @ivarflakstad offline because this cause AMD CI to fail (There were 6077 failures ...).
I will merge directly. | {
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now java and scala all have deep learning framework like djl ,javacpp-pytorch , storch easyAi , we need use transformers in jvm platform ,now transformers can use for python js rust ,please support java and scala
### Motivation
can not wait
### Your contribution
please see storch-tr... | {
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transformers 4.52.3
### Who can help?
@zucchini-nlp @hmellor
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
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### Who can help?
@zucchini-nlp @hmellor
### 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)
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"merged_at... | # What does this PR do?
I made a mistake in #38298 and the slack reports is broken for AMD at this moment due to a dict key error.
We should access `event_payload["workflow_run"]["event"]` instead where `event_payload` looks like
```python
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- `transformers` version: 4.51.3
- Platform: Linux-6.14.6-arch1-1-x86_64-with-glibc2.41
- Python version: 3.12.10
- 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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I conducted several experiments using Whisper and Seamless M4Tv2 on the FLEURS dataset (with audio files concatenated into 5-minute samples). I utilized the batching feature by setting ` chunk_length_s` to 30 seconds. Surprisingly, this chunking approach led to a 20% higher Word Error Rate (WER) across... | {
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I can see it was introduced in [the original PR](https://... | {
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"merged_at... | This PR adds a `GLPNImageProcessorFast` for the GLPN model, aligned with Hugging Face's vision processing standards. It includes:
- Fast image processor implementation.
- Updates to `__init__.py` to register the processor.
- Unit tests covering PIL, NumPy, PyTorch input handling.
- Integration with auto image pro... | {
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Thanks | {
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"merged_at... | # What does this PR do?
Adds Fast Image Processor for Oneformer model
Fixes # (issue)
#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://github.com/huggingface/transformers/... | {
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This PR adds a `Fast` version of the `GLPNImageProcessor`, enabling faster image preprocessing for the GLPN model via `BaseImageProcessorFast`. It mirrors the functionality of the original slow processor while offering better performance and compatibility with fast inference pipelines.
## ... | {
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- `transformers` version: 4.52.3
- Platform: macOS-15.4.1-arm64-arm-64bit-Mach-O
- Python version: 3.13.0
- Huggingface_hub version: 0.32.0
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.7.0 ... | {
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- `transformers` version: 4.52.3
- Platform: Linux-5.15.167.4-microsoft-standard-WSL2-x86_64-with-glibc2.39
- Python version: 3.12.9
- Huggingface_hub version: 0.32.0
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
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The minimum version of accelerate should now be `1.3.0` as `keep_torch_compile` is provided to `unwrap_model`. If this isn't desirable, we can also update `unwrap_model` to take a `**kwargs` to prevent this from occurring.
## Before submitting
- [ ] This PR fixes a typo or improves the do... | null | {
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"merged_at... | ## Adding new model (CLIP)
### A short description of the model and a link to the paper:
- An Indie-CLIP model - 1 hobby dev, 1 GPU, alas 0 papers (sorry! 🤗)
- Modification and fine-tune of openai/clip (only ViT modified; Text Encoder, Tokenizer: As pre-trained)
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<!-- Replace this comment with your description -->
## Changes
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- Improved code comments in `setup.py` for better readability.
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https://api.github.com/repos/huggingface/transformers/issues/38335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38335/comments | https://api.github.com/repos/huggingface/transformers/issues/38335/events | https://github.com/huggingface/transformers/pull/38335 | 3,087,294,529 | PR_kwDOCUB6oc6Xb_Bf | 38,335 | Merge type hints from `microsoft/python-type-stubs` (post dropping support for Python 3.8) | {
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"merged_at... | # What does this PR do?
Reopening #23093 but simplified now that support for Python 3.8 has been dropped in https://github.com/huggingface/transformers/pull/34314
Merge type definitions from https://github.com/microsoft/python-type-stubs/tree/main/stubs/transformers-stubs so that Pylance can rely directly on the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/38334 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38334/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38334/comments | https://api.github.com/repos/huggingface/transformers/issues/38334/events | https://github.com/huggingface/transformers/pull/38334 | 3,087,103,385 | PR_kwDOCUB6oc6XbUXl | 38,334 | [mllama] Allow `pixel_values` with `inputs_embeds` | {
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"merged_at... | # What does this PR do?
Allow the specification of both `pixel_values` and `inputs_embeds` at the same time in `MllamaModel.forward`.
Fixes #38326
## 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 ... | {
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Hi,
Seeing this error while using MedGemma. Used yesterday on 4.51.3, upgraded transformers today and now see this error
```
Error: Unexpected type in sourceless builder transformers.models.gemma3.configuration_gemma3.Gemma3TextConfig
from user code:
File "/home/harpreet/miniconda3/envs/fo_develo... | {
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https://api.github.com/repos/huggingface/transformers/issues/38332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38332/comments | https://api.github.com/repos/huggingface/transformers/issues/38332/events | https://github.com/huggingface/transformers/pull/38332 | 3,086,967,113 | PR_kwDOCUB6oc6Xa1-g | 38,332 | Encoder-Decoder Gemma | {
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"merged_at... | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/38331 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38331/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38331/comments | https://api.github.com/repos/huggingface/transformers/issues/38331/events | https://github.com/huggingface/transformers/issues/38331 | 3,086,954,969 | I_kwDOCUB6oc63_zHZ | 38,331 | AttributeError: 'Qwen2VLConfig' object has no attribute 'hidden_size' | {
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- `transformers` version: 4.53.0.dev0
- Platform: Linux-5.15.167.4-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.13.1
- Huggingface_hub version: 0.32.0
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyT... | {
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See title.
The biggest issue it fixes is EOS token handling: we were defaulting generation-time EOS to the tokenizer's EOS (= 1 token), instead of the value set in the `generation_config.json` (>= 1 token).
As an example: [this model has 2 EOS tokens](https://huggingface.co/open-r1/Ope... | {
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System Info
- transformers version: 4.52.3 (but the problem occurs since the 4.51.3-BitNet-preview version)
- Platform: Microsoft Windows 11 Pro
- huggingface-hub versión: 0.32.0
- safetensors : 0.5.3
- Python versión: 3.9 (cpython-3.9.22-windows-x86_64-none)
- Tensorflow version (GPU?): not installed ... | {
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"merged_at... | # What does this PR do?
We need to have the following check `is_torch_greater_or_equal("2.5") and _torch_distributed_available` when checking that the tp_plan is correctly designed, otherwise `ALL_PARALLEL_STYLES` might be empty (e.g for torch 2.4) and it will raise an error when loading a model like llama that has ... | {
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https://api.github.com/repos/huggingface/transformers/issues/38327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/38327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/38327/comments | https://api.github.com/repos/huggingface/transformers/issues/38327/events | https://github.com/huggingface/transformers/pull/38327 | 3,086,793,058 | PR_kwDOCUB6oc6XaPfo | 38,327 | Never fallback to eager implicitly | {
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"merged_at... | # What does this PR do?
Follow-up of https://github.com/huggingface/transformers/pull/38288. As we do not fallback to eager implicitly, aligns the mask to do the same (and remove the argument everywhere as it was its only purpose). Also updates the warnings in the attention functions.
Also add some models that s... | {
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