repo string | github_id int64 | github_node_id string | number int64 | html_url string | api_url string | title string | body string | state string | state_reason string | locked bool | comments_count int64 | labels list | assignees list | created_at string | updated_at string | closed_at string | author_association string | milestone_title string | snapshot_id string | extracted_at string | author_login string | author_id int64 | author_node_id string | author_type string | author_site_admin bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
huggingface/transformers | 3,451,662,789 | I_kwDOCUB6oc7NvDHF | 41,141 | https://github.com/huggingface/transformers/issues/41141 | https://api.github.com/repos/huggingface/transformers/issues/41141 | Need a concise example of Tensor Parallelism (TP) training using Trainer/SFTTrainer. | ### Feature request
I have checked the code and there are few places which talk about TP. I saw from_pretrained method for model contains tp_plan and device_mesh. I also checked that the TrainingArgument can take parallelism_config which defines the TP/CP plan along with FSDP. However, I am not able to successfully st... | closed | completed | false | 10 | [
"Documentation",
"Feature request",
"Tensor Parallel"
] | [] | 2025-09-25T03:01:02Z | 2026-06-22T12:23:53Z | 2026-06-22T12:23:53Z | NONE | null | 20260622T180028Z | 2026-06-22T18:00:28Z | meet-minimalist | 26,968,850 | MDQ6VXNlcjI2OTY4ODUw | User | false |
huggingface/transformers | 4,718,934,156 | I_kwDOCUB6oc8AAAABGUU4jA | 46,821 | https://github.com/huggingface/transformers/issues/46821 | https://api.github.com/repos/huggingface/transformers/issues/46821 | [TimesFM 2.5]:`window_size` argument raises `AttributeError` | ### System Info
- `transformers` version: 5.13.0.dev0
- Platform: macOS-26.5.1-arm64-arm-64bit
- Python version: 3.11.3
- Huggingface_hub version: 1.20.1
- Safetensors version: 0.8.0
- Accelerate version: 1.14.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.12... | open | null | false | 0 | [
"bug"
] | [
"kashif"
] | 2026-06-22T17:14:08Z | 2026-06-22T18:22:32Z | null | NONE | null | 20260623T000022Z | 2026-06-23T00:00:22Z | kanenorman | 51,185,594 | MDQ6VXNlcjUxMTg1NTk0 | User | false |
huggingface/transformers | 4,719,212,671 | I_kwDOCUB6oc8AAAABGUl4fw | 46,822 | https://github.com/huggingface/transformers/issues/46822 | https://api.github.com/repos/huggingface/transformers/issues/46822 | ZeRO-3 zero.Init does not partition composite minimax_m3_vl language submodule -> OOM on multi-GPU load | **Env:** transformers 5.12.1, deepspeed 0.18.9, torch 2.12.0+cu130, peft 0.19.1, bitsandbytes 0.49.2, accelerate 1.14.0; 8x B200 (178GB) / 2TB RAM; model MiniMaxAI/MiniMax-M3 (428B sparse MoE VL, minimax_m3_vl).
Loading `AutoModelForImageTextToText.from_pretrained("MiniMaxAI/MiniMax-M3", torch_dtype=bf16)` under DeepS... | open | null | false | 4 | [
"bug"
] | [] | 2026-06-22T17:52:42Z | 2026-06-23T18:38:19Z | null | NONE | null | 20260624T000023Z | 2026-06-24T00:00:23Z | trevorgordon981 | 193,960,977 | U_kgDOC4-cEQ | User | false |
huggingface/transformers | 4,719,212,867 | I_kwDOCUB6oc8AAAABGUl5Qw | 46,823 | https://github.com/huggingface/transformers/issues/46823 | https://api.github.com/repos/huggingface/transformers/issues/46823 | 4-bit load_in_4bit + device_map='auto' + explicit max_memory still dispatches modules to CPU on a model that fits -> ValueError | **Env:** transformers 5.12.1, deepspeed 0.18.9, torch 2.12.0+cu130, peft 0.19.1, bitsandbytes 0.49.2, accelerate 1.14.0; 8x B200 (178GB) / 2TB RAM; model MiniMaxAI/MiniMax-M3 (428B sparse MoE VL, minimax_m3_vl).
Loading MiniMax-M3 in 4-bit (nf4, double-quant) with `device_map="auto"` and `max_memory={i: "165GiB" for i... | open | null | false | 1 | [] | [] | 2026-06-22T17:52:44Z | 2026-07-04T08:55:12Z | null | NONE | null | 20260704T120019Z | 2026-07-04T12:00:19Z | trevorgordon981 | 193,960,977 | U_kgDOC4-cEQ | User | false |
huggingface/transformers | 4,722,666,998 | I_kwDOCUB6oc8AAAABGX4t9g | 46,829 | https://github.com/huggingface/transformers/issues/46829 | https://api.github.com/repos/huggingface/transformers/issues/46829 | [Bug] VideoPrismForVideoClassification returns last_hidden_state tensor as hidden_states in ImageClassifierOutput | ### System Info
- `transformers` version: 5.13.0.dev0 (main branch, local dev install)
- Platform: Linux (WSL2, kernel 6.6.114.1-microsoft-standard-WSL2)
- Python version: 3.14.4
- PyTorch version: 2.12.1+
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scri... | closed | completed | false | 0 | [
"bug"
] | [] | 2026-06-23T04:40:35Z | 2026-06-23T12:39:42Z | 2026-06-23T12:39:42Z | CONTRIBUTOR | null | 20260623T180016Z | 2026-06-23T18:00:16Z | sharmax-vikas | 175,734,208 | U_kgDOCnl9wA | User | false |
huggingface/transformers | 4,723,272,401 | I_kwDOCUB6oc8AAAABGYdq0Q | 46,832 | https://github.com/huggingface/transformers/issues/46832 | https://api.github.com/repos/huggingface/transformers/issues/46832 | [RT-DETR] TypeError in RTDetrModel.forward when num_feature_levels > len(backbone outputs) | ### System Info
transformers version: 5.12.1
Platform: Windows-10-10.0.26200-SP0
Python version: 3.11.9
PyTorch version: 2.12.1+cpu
CUDA available: False
Note: transformers env crashed for me on 5.12.1 (NameError: CompletionCreateParamsStreaming), so system info was collected manually.
RTDetrForObjectDetection rais... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-06-23T06:34:53Z | 2026-06-29T12:22:50Z | 2026-06-29T12:22:50Z | CONTRIBUTOR | null | 20260629T180016Z | 2026-06-29T18:00:16Z | c1prk | 69,437,031 | MDQ6VXNlcjY5NDM3MDMx | User | false |
huggingface/transformers | 4,726,318,405 | I_kwDOCUB6oc8AAAABGbXlRQ | 46,846 | https://github.com/huggingface/transformers/issues/46846 | https://api.github.com/repos/huggingface/transformers/issues/46846 | [Qwen3.5] Missing `linear_attn` entries in `base_model_tp_plan` causes OOM and shape error at TP>1 | ### System Info
(Manually generated, working on an experimental framework)
transformers version: 5.12.1
Python version: 3.12.13
Huggingface_hub version: 1.20.1
Safetensors version: 0.8.0
Accelerate version: 1.14.0
Accelerate config: not found
DeepSpeed version: not installed
PyTorch version (accelerator?): 2.12.1 (NA)... | closed | completed | false | 4 | [
"bug"
] | [] | 2026-06-23T13:29:27Z | 2026-07-03T13:59:02Z | 2026-07-03T13:59:02Z | MEMBER | null | 20260703T180022Z | 2026-07-03T18:00:22Z | tengomucho | 6,949,769 | MDQ6VXNlcjY5NDk3Njk= | User | false |
huggingface/transformers | 4,728,139,667 | I_kwDOCUB6oc8AAAABGdGvkw | 46,851 | https://github.com/huggingface/transformers/issues/46851 | https://api.github.com/repos/huggingface/transformers/issues/46851 | Qwen3.5 Does not work with variable length inputs using position_ids | ### System Info
The current implementation of Qwen3.5 linear attention assumes that user passes cu_seqlen arguments explicitly as opposed to just position_ids like older models. While the problem can be circumvented by passing these inputs, it becomes a problem in downstream packages (such as Verl) that assume the sam... | closed | completed | false | 8 | [
"bug"
] | [] | 2026-06-23T17:34:46Z | 2026-06-24T16:20:46Z | 2026-06-24T16:20:46Z | NONE | null | 20260624T180019Z | 2026-06-24T18:00:19Z | kolehma8 | 12,157,931 | MDQ6VXNlcjEyMTU3OTMx | User | false |
huggingface/transformers | 4,732,309,929 | I_kwDOCUB6oc8AAAABGhFRqQ | 46,858 | https://github.com/huggingface/transformers/issues/46858 | https://api.github.com/repos/huggingface/transformers/issues/46858 | _prefill: cache.get_seq_length() returns device tensor, breaks slice arithmetic for static cache + torch.compile on non-CUDA backends | ### System Info
- transformers version: 5.5.3
- PyTorch version: 2.10.0
- Python version: 3.10.12
- OS: Linux (Ubuntu 22.04)
- Device: CPU (using `torch.compile(backend="inductor")`)
- Last working version: transformers 5.2.0
- First broken version: transformers 5.5.3 (where _prefill was introduced)
##... | closed | completed | false | 6 | [
"bug",
"Code agent slop"
] | [] | 2026-06-24T06:33:39Z | 2026-06-25T12:42:46Z | 2026-06-25T12:42:34Z | NONE | null | 20260625T180018Z | 2026-06-25T18:00:18Z | silicon-dispatch-100 | 26,684,651 | MDQ6VXNlcjI2Njg0NjUx | User | false |
huggingface/transformers | 4,736,244,948 | I_kwDOCUB6oc8AAAABGk1c1A | 46,868 | https://github.com/huggingface/transformers/issues/46868 | https://api.github.com/repos/huggingface/transformers/issues/46868 | Sequence Parallelism Disabled for Evaluation | Hi, I am training a model with sequence parllelism as per these [docs](qwen 3.6 27b). I am run evals evals every 50 training steps, and encountered an OOM during my first eval step:
```
2026-06-24T08:21:11.619Z | 2%\|▏ \| 50/2064 [1:12:45<49:41:22, 88.82s/it]
-- | --
| 2026-06-24T08:21:11.619Z | {'loss': '0.6005', ... | open | null | false | 1 | [] | [] | 2026-06-24T15:34:17Z | 2026-06-24T18:19:40Z | null | NONE | null | 20260625T000027Z | 2026-06-25T00:00:27Z | amanichopra | 42,814,002 | MDQ6VXNlcjQyODE0MDAy | User | false |
huggingface/transformers | 4,736,609,563 | I_kwDOCUB6oc8AAAABGlLtGw | 46,869 | https://github.com/huggingface/transformers/issues/46869 | https://api.github.com/repos/huggingface/transformers/issues/46869 | YOLO model failing on multi GPU device map auto | ### System Info
Yolo model fails:
```python
(Desktop) theo@arthur-brahms:~$ /home/theo/Desktop/.venv/bin/python /home/theo/Desktop/reachy/test-vision.py
Loading weights: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████| 212/212 [00:00<00:00, 2564.02i... | open | null | false | 2 | [
"bug"
] | [] | 2026-06-24T16:25:08Z | 2026-06-26T15:42:41Z | null | NONE | null | 20260626T180014Z | 2026-06-26T18:00:14Z | Carotterap | 295,787,356 | U_kgDOEaFbXA | User | false |
huggingface/transformers | 1,669,574,064 | I_kwDOCUB6oc5jg62w | 22,786 | https://github.com/huggingface/transformers/issues/22786 | https://api.github.com/repos/huggingface/transformers/issues/22786 | Implement a decode method in transformers.BasicTokenizer | ### Feature request
Transformers has provided a nice BasicTokenizer for basic tokenizing when we don't need BPE tokenizers. For data processing (like data format converting), it is better to offer a decode method for basic use.
### Motivation
When doing data format converting in some data processing problems, we usu... | closed | completed | false | 3 | [
"Feature request"
] | [] | 2023-04-15T21:11:07Z | 2026-06-25T06:44:30Z | 2026-06-25T06:44:30Z | CONTRIBUTOR | null | 20260625T120018Z | 2026-06-25T12:00:18Z | jiangwangyi | 39,762,734 | MDQ6VXNlcjM5NzYyNzM0 | User | false |
huggingface/transformers | 4,742,221,542 | I_kwDOCUB6oc8AAAABGqiO5g | 46,877 | https://github.com/huggingface/transformers/issues/46877 | https://api.github.com/repos/huggingface/transformers/issues/46877 | auto_docstring prints [ERROR] doc-lint diagnostics to stdout at import time | ### System Info
- `transformers` version: 5.13.0.dev0
- Platform: Windows-11-10.0.26200-SP0
- Python version: 3.13.11
- PyTorch version (GPU?): 2.12.0+cu132 (CUDA 13.2, GPU available: yes)
- GPU: NVIDIA RTX 2000 Ada Generation Laptop GPU
- Accelerate version: 1.14.0
- Safetensors version: 0.8.0
### Who can help?
@st... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-06-25T08:49:25Z | 2026-06-25T14:56:10Z | 2026-06-25T14:56:10Z | NONE | null | 20260625T180018Z | 2026-06-25T18:00:18Z | CalamitousFelicitousness | 63,501,758 | MDQ6VXNlcjYzNTAxNzU4 | User | false |
huggingface/transformers | 4,746,440,848 | I_kwDOCUB6oc8AAAABGujwkA | 46,894 | https://github.com/huggingface/transformers/issues/46894 | https://api.github.com/repos/huggingface/transformers/issues/46894 | CohereASR training-loss double-shift bug (same pattern as Moonshine #46784) | ### System Info
- `transformers` version: 5.13.0.dev0 (main branch at commit dc5a497c18)
- - Platform: Windows
- - - Python version: 3.x
- - - - Using GPU: N/A (code-level bug, not runtime)
### Who can help?
@eustlb @ebezzam @vasqu
### Information
- [x] The official example scripts
- [ ] My own modified scripts
#... | open | null | false | 1 | [
"bug"
] | [] | 2026-06-25T18:29:52Z | 2026-07-05T16:12:30Z | null | CONTRIBUTOR | null | 20260705T180020Z | 2026-07-05T18:00:20Z | sharmax-vikas | 175,734,208 | U_kgDOCnl9wA | User | false |
huggingface/transformers | 4,746,789,216 | I_kwDOCUB6oc8AAAABGu5BYA | 46,897 | https://github.com/huggingface/transformers/issues/46897 | https://api.github.com/repos/huggingface/transformers/issues/46897 | Florence2 training-loss double-shift bug (same pattern as Moonshine #46784) | ### System Info
- `transformers` version: 5.13.0.dev0 (main branch at commit dc5a497c18)
- - Platform: Windows
- - - Python version: 3.x
- - - - Using GPU: N/A (code-level bug, not runtime)
### Who can help?
@zucchini-nlp @yonigozlan
### Information
- [x] The official example scripts
- [ ] My own modified scripts
... | closed | completed | false | 0 | [
"bug"
] | [] | 2026-06-25T19:24:39Z | 2026-06-29T10:51:17Z | 2026-06-29T10:51:17Z | CONTRIBUTOR | null | 20260629T120018Z | 2026-06-29T12:00:18Z | sharmax-vikas | 175,734,208 | U_kgDOCnl9wA | User | false |
huggingface/transformers | 4,746,887,182 | I_kwDOCUB6oc8AAAABGu_ADg | 46,899 | https://github.com/huggingface/transformers/issues/46899 | https://api.github.com/repos/huggingface/transformers/issues/46899 | [Gemma4] Audio (and vision) processing broken with 4‑bit quantization due to unsafe dtype cast in multimodal embedders | ### System Info
- `transformers` version: 5.12.1
- `bitsandbytes` version: 0.49.2
- Platform: Linux, Python 3.13, CUDA 12.x
- GPU: NVIDIA RTX 5090
- Quantization config: `BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16, bnb_4bit_use_... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-06-25T19:40:51Z | 2026-06-26T13:09:35Z | 2026-06-26T13:09:35Z | NONE | null | 20260626T180014Z | 2026-06-26T18:00:14Z | dukei | 1,279,262 | MDQ6VXNlcjEyNzkyNjI= | User | false |
huggingface/transformers | 4,748,781,069 | I_kwDOCUB6oc8AAAABGwymDQ | 46,901 | https://github.com/huggingface/transformers/issues/46901 | https://api.github.com/repos/huggingface/transformers/issues/46901 | PPFormulaNet training-loss double-shift: trains against labels[..., 1:] instead of labels | ### System Info
- `transformers` version: 5.13.0.dev0 (main, commit `c96378c413`)
- Platform: macOS, Python 3.11 (code-level bug, no specific hardware required)
### Who can help?
@yonigozlan @zucchini-nlp (PPFormulaNet / Florence2 area)
### Description
`PPFormulaNetForConditionalGeneration.forward` builds `decoder... | open | null | false | 0 | [] | [] | 2026-06-26T02:23:31Z | 2026-06-26T02:23:31Z | null | NONE | null | 20260626T060016Z | 2026-06-26T06:00:16Z | OmkumarSolanki | 144,753,825 | U_kgDOCKDEoQ | User | false |
huggingface/transformers | 4,750,295,040 | I_kwDOCUB6oc8AAAABGyPAAA | 46,906 | https://github.com/huggingface/transformers/issues/46906 | https://api.github.com/repos/huggingface/transformers/issues/46906 | [serge] integration failure triage - 2026-06-26 | <!-- serge-triage-run:integration-failure-triage:2026-06-26 -->
Automated **integration-failure triage** for the daily CI window `2026-06-20 → 2026-06-26`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 1 | [] | [] | 2026-06-26T07:52:15Z | 2026-06-29T11:30:45Z | null | CONTRIBUTOR | null | 20260629T120018Z | 2026-06-29T12:00:18Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,750,425,129 | I_kwDOCUB6oc8AAAABGyW8KQ | 46,909 | https://github.com/huggingface/transformers/issues/46909 | https://api.github.com/repos/huggingface/transformers/issues/46909 | broken documentation example for DIA | ### System Info
Documentation for DIA is a bit weird:
https://huggingface.co/docs/transformers/model_doc/dia#generation-with-text
- torch device does not exist
- to device map auto does not exist
```python
from transformers import AutoProcessor, DiaForConditionalGeneration
model_checkpoint = "nari-labs/Dia-1.6B-0... | closed | completed | false | 3 | [
"bug"
] | [] | 2026-06-26T08:12:30Z | 2026-06-26T18:22:10Z | 2026-06-26T18:01:27Z | NONE | null | 20260627T000016Z | 2026-06-27T00:00:16Z | Carotterap | 295,787,356 | U_kgDOEaFbXA | User | false |
huggingface/transformers | 2,919,858,677 | I_kwDOCUB6oc6uCYH1 | 36,718 | https://github.com/huggingface/transformers/issues/36718 | https://api.github.com/repos/huggingface/transformers/issues/36718 | Add RoMa keypoint matcher | ### Model description
RoMa is a state of the art deep keypoint detector and matcher. It falls in the "fully dense" matcher category, contrary to semi-dense matchers like LoFTR or Sparse matchers like Superpoint+SuperGlue.
When you want the best performance when you do not have many limitation from speed or memory, ... | open | null | false | 14 | [
"New model",
"Vision"
] | [] | 2025-03-14T10:42:45Z | 2026-06-30T05:01:31Z | null | NONE | null | 20260630T060014Z | 2026-06-30T06:00:14Z | tcourat | 82,943,048 | MDQ6VXNlcjgyOTQzMDQ4 | User | false |
huggingface/transformers | 4,757,712,146 | I_kwDOCUB6oc8AAAABG5TtEg | 46,931 | https://github.com/huggingface/transformers/issues/46931 | https://api.github.com/repos/huggingface/transformers/issues/46931 | ตัวจัดการบัญชีสำหรับ L. CHOMPHUPHUEN.io | <!--
Note: Please search to see if an issue already exists for the language you are trying to translate.
-->
Hi!
Let's bring the documentation to all the <languageName>-speaking community 🌐 (currently 0 out of 267 complete)
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/hug... | closed | completed | false | 1 | [
"WIP"
] | [] | 2026-06-27T09:22:49Z | 2026-06-27T15:05:39Z | 2026-06-27T15:05:39Z | NONE | null | 20260627T180026Z | 2026-06-27T18:00:26Z | imgoingbacktheonlything239-ops | 269,549,381 | U_kgDOEBD_RQ | User | false |
huggingface/transformers | 4,758,250,685 | I_kwDOCUB6oc8AAAABG50kvQ | 46,932 | https://github.com/huggingface/transformers/issues/46932 | https://api.github.com/repos/huggingface/transformers/issues/46932 | [Gemma4] Fix dtype casting for quantized vision/audio embedders (same as #46904) | ### System Info
- `transformers` version: 4.52.0.dev0 (main branch)
- - Platform: Linux
- - - Python version: 3.10
- - - - PyTorch version: 2.x with bitsandbytes
### Who can help?
@zucchini-nlp @SunMarc
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially... | closed | completed | false | 1 | [
"bug"
] | [] | 2026-06-27T12:12:13Z | 2026-07-03T12:21:54Z | 2026-07-03T12:21:54Z | CONTRIBUTOR | null | 20260703T180022Z | 2026-07-03T18:00:22Z | sharmax-vikas | 175,734,208 | U_kgDOCnl9wA | User | false |
huggingface/transformers | 2,542,978,567 | I_kwDOCUB6oc6XksYH | 33,664 | https://github.com/huggingface/transformers/issues/33664 | https://api.github.com/repos/huggingface/transformers/issues/33664 | Object detection training/fine-tuning for Owl-vit/Owlv2 | ### Feature request
Currently the Owl-vit models support inference and CLIP-style contrastive pre-training, but don't provide a way to train (or fine-tune) the detection part of the model. According to [the paper](https://arxiv.org/pdf/2205.06230), detection training is similar to Detr.
### Motivation
It would be re... | open | null | false | 16 | [
"Good Second Issue",
"Feature request",
"Vision"
] | [] | 2024-09-23T15:16:57Z | 2026-07-01T07:39:38Z | null | CONTRIBUTOR | null | 20260701T120019Z | 2026-07-01T12:00:19Z | catalys1 | 11,340,846 | MDQ6VXNlcjExMzQwODQ2 | User | false |
huggingface/transformers | 4,760,521,357 | I_kwDOCUB6oc8AAAABG7_KjQ | 46,940 | https://github.com/huggingface/transformers/issues/46940 | https://api.github.com/repos/huggingface/transformers/issues/46940 | [serge] integration failure triage - 2026-06-27 | <!-- serge-triage-run:integration-failure-triage:2026-06-27 -->
Automated **integration-failure triage** for the daily CI window `2026-06-21 → 2026-06-27`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 0 | [] | [] | 2026-06-28T00:36:29Z | 2026-06-28T00:39:13Z | null | CONTRIBUTOR | null | 20260628T060020Z | 2026-06-28T06:00:20Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,764,177,229 | I_kwDOCUB6oc8AAAABG_eTTQ | 46,948 | https://github.com/huggingface/transformers/issues/46948 | https://api.github.com/repos/huggingface/transformers/issues/46948 | [serge] integration failure triage - 2026-06-28 | <!-- serge-triage-run:integration-failure-triage:2026-06-28 -->
Automated **integration-failure triage** for the daily CI window `2026-06-22 → 2026-06-28`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 1 | [] | [] | 2026-06-29T00:38:07Z | 2026-06-29T18:26:53Z | null | CONTRIBUTOR | null | 20260630T000016Z | 2026-06-30T00:00:16Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 3,107,599,219 | I_kwDOCUB6oc65OjNz | 38,518 | https://github.com/huggingface/transformers/issues/38518 | https://api.github.com/repos/huggingface/transformers/issues/38518 | Failed to export PyTorch traced graph of Mixtral-8x7B-Instruct-v0.1 due to the PR #32429 | ### System Info
Hi ,
I found the recently transformers 4.52.4 merged this PR https://github.com/huggingface/transformers/pull/32429
and it led me failed to run below code snippet which it could run successfully with 4.51.3.
```python
import transformers
import torch.export as te
import torch
from contextlib import ... | closed | completed | false | 5 | [
"Good Difficult Issue",
"bug"
] | [] | 2025-06-01T17:46:08Z | 2026-06-29T11:59:18Z | 2026-06-29T11:59:18Z | CONTRIBUTOR | null | 20260629T120018Z | 2026-06-29T12:00:18Z | nv-guomingz | 137,257,613 | U_kgDOCC5ijQ | User | false |
huggingface/transformers | 4,769,267,049 | I_kwDOCUB6oc8AAAABHEU9aQ | 46,962 | https://github.com/huggingface/transformers/issues/46962 | https://api.github.com/repos/huggingface/transformers/issues/46962 | [Qwen3] `create_masks_for_generate` return type change after #41251 | ### System Info
`transformers env` throw an error. I catch the system info with pytorch tools.
```
PyTorch version: 2.14.0.dev20260623+xpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: Ubuntu 26.04 LTS (x86_64)
GCC version: (Ubuntu 15.2.0-16ubuntu1) 15.2.0
Clang version: 2... | open | null | false | 8 | [
"bug"
] | [] | 2026-06-29T15:03:41Z | 2026-07-02T07:49:02Z | null | NONE | null | 20260702T120025Z | 2026-07-02T12:00:25Z | hoshibara | 108,672,484 | U_kgDOBno15A | User | false |
huggingface/transformers | 4,771,468,176 | I_kwDOCUB6oc8AAAABHGbTkA | 46,967 | https://github.com/huggingface/transformers/issues/46967 | https://api.github.com/repos/huggingface/transformers/issues/46967 | Add AstroCLIP model support | ### Feature request
I'd like to add AstroCLIP to Transformers.
AstroCLIP is a CLIP-style dual encoder for astronomy data. It aligns galaxy image
cutouts with galaxy spectra using a DINOv2 image encoder, a SpecFormer spectrum
encoder, cross-attention pooling heads and a symmetric contrastive loss.
Paper: https://hugg... | closed | completed | false | 5 | [] | [] | 2026-06-29T20:45:32Z | 2026-07-02T11:54:55Z | 2026-07-02T11:54:54Z | NONE | null | 20260702T120025Z | 2026-07-02T12:00:25Z | giovannicozzolongo | 79,092,266 | MDQ6VXNlcjc5MDkyMjY2 | User | false |
huggingface/transformers | 4,772,643,784 | I_kwDOCUB6oc8AAAABHHjDyA | 46,969 | https://github.com/huggingface/transformers/issues/46969 | https://api.github.com/repos/huggingface/transformers/issues/46969 | [serge] integration failure triage - 2026-06-29 | <!-- serge-triage-run:integration-failure-triage:2026-06-29 -->
Automated **integration-failure triage** for the daily CI window `2026-06-23 → 2026-06-29`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 0 | [] | [] | 2026-06-30T00:36:50Z | 2026-06-30T00:38:58Z | null | CONTRIBUTOR | null | 20260630T060014Z | 2026-06-30T06:00:14Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,773,093,103 | I_kwDOCUB6oc8AAAABHH-e7w | 46,972 | https://github.com/huggingface/transformers/issues/46972 | https://api.github.com/repos/huggingface/transformers/issues/46972 | Add SuperCompress prompt compression for efficient inference | ## SuperCompress: Open-Source Prompt Compression
[SuperCompress](https://github.com/arjunkshah/supercompress) is a learned prompt compression library that reduces LLM token usage by ~65% using a ~5K parameter neural policy.
**Why this matters for ML development:**
- Practical ML deployment: a tiny model (~5K params) ... | closed | completed | false | 1 | [] | [] | 2026-06-30T02:17:27Z | 2026-06-30T04:07:18Z | 2026-06-30T04:07:18Z | NONE | null | 20260630T060014Z | 2026-06-30T06:00:14Z | arjunkshah | 180,205,446 | U_kgDOCr23hg | User | false |
huggingface/transformers | 4,777,658,074 | I_kwDOCUB6oc8AAAABHMVG2g | 46,981 | https://github.com/huggingface/transformers/issues/46981 | https://api.github.com/repos/huggingface/transformers/issues/46981 | AutoProcessor.from_pretrained retries HTTP 429 responses multiple times for every config file when using HF_ENDPOINT | ### System Info
(uv run transformers env fails with name « CompletionCreateParamsStreaming » is not defined, but this is a separate issue)
- transformers 5.12.1
- windows 11
### Who can help?
@Cyrilvallez
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [x] An offi... | open | null | false | 2 | [
"bug"
] | [] | 2026-06-30T14:27:18Z | 2026-07-01T07:20:29Z | null | NONE | null | 20260701T120019Z | 2026-07-01T12:00:19Z | peacefulotter | 32,218,033 | MDQ6VXNlcjMyMjE4MDMz | User | false |
huggingface/transformers | 4,780,614,010 | I_kwDOCUB6oc8AAAABHPJheg | 46,983 | https://github.com/huggingface/transformers/issues/46983 | https://api.github.com/repos/huggingface/transformers/issues/46983 | Add RWKV7 model support | ### Feature request
### Model description
I would like to propose adding RWKV7 support to Transformers.
RWKV7 is the latest generation of the RWKV recurrent language model family. It is a causal language model with recurrent state updates, but it is not compatible with the existing `rwkv` implementation in Transform... | closed | not_planned | false | 0 | [
"Feature request"
] | [] | 2026-06-30T21:43:21Z | 2026-06-30T21:44:14Z | 2026-06-30T21:44:14Z | CONTRIBUTOR | null | 20260701T000029Z | 2026-07-01T00:00:29Z | chinoll | 22,575,232 | MDQ6VXNlcjIyNTc1MjMy | User | false |
huggingface/transformers | 4,780,626,289 | I_kwDOCUB6oc8AAAABHPKRcQ | 46,984 | https://github.com/huggingface/transformers/issues/46984 | https://api.github.com/repos/huggingface/transformers/issues/46984 | Add RWKV7 model support | ### Model description
I would like to propose adding RWKV7 support to Transformers.
RWKV7 is the latest generation of the RWKV recurrent language model family. It is a causal language model with recurrent state updates, but it is not compatible with the existing `rwkv` implementation in Transformers, which targets ea... | open | null | false | 1 | [
"New model"
] | [] | 2026-06-30T21:45:42Z | 2026-06-30T21:55:22Z | null | CONTRIBUTOR | null | 20260701T000029Z | 2026-07-01T00:00:29Z | chinoll | 22,575,232 | MDQ6VXNlcjIyNTc1MjMy | User | false |
huggingface/transformers | 4,781,386,510 | I_kwDOCUB6oc8AAAABHP4rDg | 46,985 | https://github.com/huggingface/transformers/issues/46985 | https://api.github.com/repos/huggingface/transformers/issues/46985 | [serge] integration failure triage - 2026-06-30 | <!-- serge-triage-run:integration-failure-triage:2026-06-30 -->
Automated **integration-failure triage** for the daily CI window `2026-06-24 → 2026-06-30`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 0 | [] | [] | 2026-07-01T00:38:22Z | 2026-07-01T00:38:40Z | null | CONTRIBUTOR | null | 20260701T060031Z | 2026-07-01T06:00:31Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,784,614,119 | I_kwDOCUB6oc8AAAABHS9q5w | 46,996 | https://github.com/huggingface/transformers/issues/46996 | https://api.github.com/repos/huggingface/transformers/issues/46996 | Reporting a vulnerability | @Michellehbn @ArthurZucker
need access to the Huggingface Private Bug Bounty Program
https://hackerone.com/hugging_face
I request the team to send me an invite for the Huggingface Private Bug Bounty Program
My Hackerone username: raz_26
I had already email to the security team but not yet get any response
Hope th... | closed | completed | false | 1 | [] | [] | 2026-07-01T10:19:42Z | 2026-07-01T10:27:55Z | 2026-07-01T10:27:55Z | NONE | null | 20260701T120019Z | 2026-07-01T12:00:19Z | Eti-Hack | 173,596,630 | U_kgDOCljf1g | User | false |
huggingface/transformers | 4,785,639,574 | I_kwDOCUB6oc8AAAABHT8Qlg | 47,000 | https://github.com/huggingface/transformers/issues/47000 | https://api.github.com/repos/huggingface/transformers/issues/47000 | RTDetrLoss crashing with "ValueError: cost matrix is infeasible" | ### System Info
`transformers` version: 5.13.0.dev0
- Platform: Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 1.7.1
- Safetensors version: 0.8.0
- Accelerate version: 1.13.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorc... | open | null | false | 7 | [
"bug"
] | [] | 2026-07-01T12:45:17Z | 2026-07-04T11:05:30Z | null | CONTRIBUTOR | null | 20260704T120019Z | 2026-07-04T12:00:19Z | m-matthias | 16,415,097 | MDQ6VXNlcjE2NDE1MDk3 | User | false |
huggingface/transformers | 4,786,848,896 | I_kwDOCUB6oc8AAAABHVGEgA | 47,004 | https://github.com/huggingface/transformers/issues/47004 | https://api.github.com/repos/huggingface/transformers/issues/47004 | Add LoMa keypoint detector & matcher | ### Model description
LoMa revisits local (sparse) feature matching from a data-driven perspective. In particular, the authors focus on (i) curating a large and diverse training data mixture together with scalable training recipes for both descriptors and matchers, and (ii) increasing training compute along two axes: ... | open | null | false | 3 | [
"New model"
] | [] | 2026-07-01T15:15:57Z | 2026-07-04T10:11:30Z | null | NONE | null | 20260704T120019Z | 2026-07-04T12:00:19Z | tcourat | 82,943,048 | MDQ6VXNlcjgyOTQzMDQ4 | User | false |
huggingface/transformers | 4,785,329,762 | I_kwDOCUB6oc8AAAABHTpWYg | 46,998 | https://github.com/huggingface/transformers/issues/46998 | https://api.github.com/repos/huggingface/transformers/issues/46998 | [serge] integration failure triage - 2026-07-01 | <!-- serge-triage-run:integration-failure-triage:2026-07-01 -->
Automated **integration-failure triage** for the daily CI window `2026-06-25 → 2026-07-01`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 0 | [] | [] | 2026-07-01T12:03:11Z | 2026-07-02T00:37:02Z | null | CONTRIBUTOR | null | 20260702T060019Z | 2026-07-02T06:00:19Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,787,791,381 | I_kwDOCUB6oc8AAAABHV_mFQ | 47,007 | https://github.com/huggingface/transformers/issues/47007 | https://api.github.com/repos/huggingface/transformers/issues/47007 | Building AI-Automated Vulnerability Discovery Systems - Lessons from Using Advanced LLMs | Hi Hugging Face team,
Transformers has been foundational to the AI revolution. I want to share how we're leveraging advanced language models for an unexpected application: **automated cybersecurity vulnerability discovery**.
**Project**: 0day Rubbish
**Repository**: https://github.com/Exploit-Garbage/0day-Rubbish
... | closed | completed | false | 0 | [] | [] | 2026-07-01T17:22:52Z | 2026-07-02T11:35:14Z | 2026-07-02T11:35:14Z | NONE | null | 20260702T120025Z | 2026-07-02T12:00:25Z | Exploit-Garbage | 298,631,731 | U_kgDOEczCMw | User | false |
huggingface/transformers | 3,747,138,333 | I_kwDOCUB6oc7fWMsd | 42,954 | https://github.com/huggingface/transformers/issues/42954 | https://api.github.com/repos/huggingface/transformers/issues/42954 | XiaoMi MiMo | ### Model description
- https://huggingface.co/XiaomiMiMo/MiMo-V2-Flash/tree/main
### Open source status
- [x] The model implementation is available
- [x] The model weights are available
### Provide useful links for the implementation
_No response_ | closed | completed | false | 2 | [
"New model"
] | [] | 2025-12-19T11:15:41Z | 2026-07-01T18:50:10Z | 2026-07-01T18:50:10Z | MEMBER | null | 20260702T000029Z | 2026-07-02T00:00:29Z | ArthurZucker | 48,595,927 | MDQ6VXNlcjQ4NTk1OTI3 | User | false |
huggingface/transformers | 4,789,408,456 | I_kwDOCUB6oc8AAAABHXiSyA | 47,013 | https://github.com/huggingface/transformers/issues/47013 | https://api.github.com/repos/huggingface/transformers/issues/47013 | [xLSTM] Crash in train mode with return_last_states=False: backend returns bare tensor but xLSTMLayer always unpacks (h, state) | ### System Info
- `transformers` version: 5.12.1 (bug also present on current `main`)
- Platform: Windows 11 (also reproducible on Linux)
- Python version: 3.13
- PyTorch version: 2.11.0+cu128
### Who can help?
@vasqu @ArthurZucker
### Information
- [ ] The official example scripts
- [x] My own modified scripts
#... | open | null | false | 3 | [] | [] | 2026-07-01T21:42:33Z | 2026-07-05T05:21:39Z | null | NONE | null | 20260705T060022Z | 2026-07-05T06:00:22Z | Heatdh | 74,280,434 | MDQ6VXNlcjc0MjgwNDM0 | User | false |
huggingface/transformers | 4,790,961,338 | I_kwDOCUB6oc8AAAABHZBEug | 47,015 | https://github.com/huggingface/transformers/issues/47015 | https://api.github.com/repos/huggingface/transformers/issues/47015 | Novel Application of Transformers: AI-Automated Cybersecurity Vulnerability Discovery System | Hi Hugging Face team,
Transformers has revolutionized NLP and beyond. I want to share an unexpected but impactful application: **using transformer-based LLMs for automated cybersecurity vulnerability discovery**.
**Project**: 0day Rubbish
**Repository**: https://github.com/Exploit-Garbage/0day-Rubbish
**What We've... | closed | completed | false | 0 | [
"Code agent slop"
] | [] | 2026-07-02T03:22:07Z | 2026-07-02T11:44:54Z | 2026-07-02T11:44:42Z | NONE | null | 20260702T120025Z | 2026-07-02T12:00:25Z | Exploit-Garbage | 298,631,731 | U_kgDOEczCMw | User | false |
huggingface/transformers | 4,792,845,887 | I_kwDOCUB6oc8AAAABHa0GPw | 47,020 | https://github.com/huggingface/transformers/issues/47020 | https://api.github.com/repos/huggingface/transformers/issues/47020 | XLMRobertaTokenizer.__init__ passes dict to Unigram(vocab=...) expecting a Sequence | ## System Info
```
transformers version: 5.12.1
tokenizers version: 0.22.2
platform: macOS (also reproduced on Linux)
python version: 3.12 / 3.14
```
## Who can help?
@ArthurZucker @itazap
## Information
- [x] My own modified scripts
## Tasks
- [x] My own task or dataset (give details below)
## Reproduction
PR... | open | null | false | 2 | [] | [] | 2026-07-02T08:54:20Z | 2026-07-04T19:43:32Z | null | CONTRIBUTOR | null | 20260705T000031Z | 2026-07-05T00:00:31Z | saattrupdan | 47,701,536 | MDQ6VXNlcjQ3NzAxNTM2 | User | false |
huggingface/transformers | 4,798,445,417 | I_kwDOCUB6oc8AAAABHgJ3aQ | 47,030 | https://github.com/huggingface/transformers/issues/47030 | https://api.github.com/repos/huggingface/transformers/issues/47030 | FineGrainedFP8 DeepGEMM path returns silently wrong results on SM100 (UE8M0 scale rounding without requantization) | ## System info
- transformers 5.12.1, torch 2.10.0+cu130, kernels 0.12.3
- Hub kernel: `kernels-community/deep-gemm`, pinned version 2 (rev `9590415046fa`, internal `__version__` 2.5.0)
- GPU: NVIDIA B200 (SM100), CUDA 13.0
- Model: `Qwen/Qwen3-4B-FP8` (fine-grained FP8, dynamic activation scheme, fp32 `weight_scale_i... | open | null | false | 1 | [] | [] | 2026-07-02T21:54:50Z | 2026-07-03T01:05:47Z | null | NONE | null | 20260703T060023Z | 2026-07-03T06:00:23Z | keunhong | 297,680 | MDQ6VXNlcjI5NzY4MA== | User | false |
huggingface/transformers | 4,798,543,956 | I_kwDOCUB6oc8AAAABHgP4VA | 47,031 | https://github.com/huggingface/transformers/issues/47031 | https://api.github.com/repos/huggingface/transformers/issues/47031 | Checkpoint conversion silently loads transposed fused-expert weights when the swapped dims are equal (Transpose(check_dims=True), qwen3_vl_moe) |
### System info
transformers 5.12.1 (code-identical on `main` as of 2026-07-02: `core_model_loading.py`
`Transpose.convert`, `conversion_mapping.py` qwen3_vl_moe entries), torch 2.11.0. CPU-only repro.
### Bug
`Transpose(1, 2, check_dims=True)` — used by the qwen3_vl_moe conversion to accept both the legacy
pre-gro... | open | null | false | 2 | [] | [] | 2026-07-02T22:14:35Z | 2026-07-03T13:09:00Z | null | NONE | null | 20260703T180022Z | 2026-07-03T18:00:22Z | pjordanandrsn | 279,818,045 | U_kgDOEK2vPQ | User | false |
huggingface/transformers | 4,798,942,856 | I_kwDOCUB6oc8AAAABHgoOiA | 47,036 | https://github.com/huggingface/transformers/issues/47036 | https://api.github.com/repos/huggingface/transformers/issues/47036 | Community benchmark tip | spam | closed | completed | false | 1 | [] | [] | 2026-07-02T23:48:33Z | 2026-07-03T10:38:26Z | 2026-07-03T04:11:30Z | NONE | null | 20260703T120023Z | 2026-07-03T12:00:23Z | connerlambden | 9,061,871 | MDQ6VXNlcjkwNjE4NzE= | User | false |
huggingface/transformers | 4,799,113,639 | I_kwDOCUB6oc8AAAABHgyppw | 47,037 | https://github.com/huggingface/transformers/issues/47037 | https://api.github.com/repos/huggingface/transformers/issues/47037 | [serge] integration failure triage - 2026-07-02 | <!-- serge-triage-run:integration-failure-triage:2026-07-02 -->
Automated **integration-failure triage** for the daily CI window `2026-06-26 → 2026-07-02`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 5 | [] | [] | 2026-07-03T00:31:21Z | 2026-07-03T08:48:16Z | null | CONTRIBUTOR | null | 20260703T120023Z | 2026-07-03T12:00:23Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,802,412,788 | I_kwDOCUB6oc8AAAABHj8A9A | 47,039 | https://github.com/huggingface/transformers/issues/47039 | https://api.github.com/repos/huggingface/transformers/issues/47039 | GenerationConfig serializes ContinuousBatchingConfig as null | ### System Info
Observed on the local development checkout used for PR #47038:
```text
transformers main branch at 9d011e8375ab802f1b9ada2d488af35232f6dd3e
Python 3.12 in a local conda environment on Windows
```
Relevant local validation for the proposed fix has passed:
```text
python -m pytest tests/generation/tes... | open | null | false | 1 | [] | [] | 2026-07-03T09:48:39Z | 2026-07-03T10:57:10Z | null | NONE | null | 20260703T120023Z | 2026-07-03T12:00:23Z | VectorPeak | 73,048,950 | MDQ6VXNlcjczMDQ4OTUw | User | false |
huggingface/transformers | 4,807,034,547 | I_kwDOCUB6oc8AAAABHoWGsw | 47,049 | https://github.com/huggingface/transformers/issues/47049 | https://api.github.com/repos/huggingface/transformers/issues/47049 | [serge] integration failure triage - 2026-07-03 | <!-- serge-triage-run:integration-failure-triage:2026-07-03 -->
Automated **integration-failure triage** for the daily CI window `2026-06-27 → 2026-07-03`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 0 | [] | [] | 2026-07-04T00:30:38Z | 2026-07-04T00:30:55Z | null | CONTRIBUTOR | null | 20260704T060041Z | 2026-07-04T06:00:41Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,807,434,362 | I_kwDOCUB6oc8AAAABHougeg | 47,050 | https://github.com/huggingface/transformers/issues/47050 | https://api.github.com/repos/huggingface/transformers/issues/47050 | CanineModel fp16 ONNX export fails with dtype mismatch in attention (expected scalar type Float but found Half) | ### System Info
- `transformers` version: 5.12.1
- Platform: Linux-6.18.18-trim-x86_64-with-glibc2.41
- Python version: 3.12.13
- Huggingface_hub version: 1.22.0
- Safetensors version: 0.8.0
- Accelerate version: 1.14.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator... | open | null | false | 3 | [
"bug"
] | [] | 2026-07-04T03:12:04Z | 2026-07-05T07:02:42Z | null | NONE | null | 20260705T120019Z | 2026-07-05T12:00:19Z | sgpublic | 37,202,870 | MDQ6VXNlcjM3MjAyODcw | User | false |
huggingface/transformers | 4,808,113,319 | I_kwDOCUB6oc8AAAABHpX8pw | 47,053 | https://github.com/huggingface/transformers/issues/47053 | https://api.github.com/repos/huggingface/transformers/issues/47053 | [serge] integration failure triage - 2026-07-04 | <!-- serge-triage-run:integration-failure-triage:2026-07-04 -->
Automated **integration-failure triage** for the daily CI window `2026-06-28 → 2026-07-04`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 0 | [] | [] | 2026-07-04T07:33:00Z | 2026-07-05T00:31:25Z | null | CONTRIBUTOR | null | 20260705T060022Z | 2026-07-05T06:00:22Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,808,340,460 | I_kwDOCUB6oc8AAAABHplz7A | 47,059 | https://github.com/huggingface/transformers/issues/47059 | https://api.github.com/repos/huggingface/transformers/issues/47059 | tests/cli fail with huggingface_hub 1.22.0: 'HFCliTyperGroup' object has no attribute '_add_completion': | ### System Info
transformers: main (5.14.0.dev0)
huggingface_hub: 1.22.0
typer: 0.26.8 / click: 8.4.2 (also reproduces with typer 0.24.1)
Python 3.10 (CI docker image) — also reproduced on Python 3.11 / Windows
Note: `transformers env` itself crashes with this bug, so output is unavailable.
### Who can help?
_No res... | open | null | false | 1 | [
"bug"
] | [] | 2026-07-04T08:56:14Z | 2026-07-04T09:54:26Z | null | NONE | null | 20260704T120019Z | 2026-07-04T12:00:19Z | Madhav-000-s | 181,208,194 | U_kgDOCs0Egg | User | false |
huggingface/transformers | 4,808,745,614 | I_kwDOCUB6oc8AAAABHp-ijg | 47,065 | https://github.com/huggingface/transformers/issues/47065 | https://api.github.com/repos/huggingface/transformers/issues/47065 | DeformableDetrHungarianMatcher and LwDetrHungarianMatcher crash on non-finite cost matrices ("cost matrix is infeasible") | ### System Info
- `transformers` 5.14.0.dev0 (main)
- PyTorch 2.x
- Reproduces on CPU; originally hit on GPU with AMP
### Who can help?
@guarin @yonigozlan
### Description
Same failure mode as #47000 (RT-DETR), but in two more Hungarian matchers that are still unguarded on `main`. Under AMP/fp16 the sigmoid focal ... | open | null | false | 0 | [] | [] | 2026-07-04T11:21:32Z | 2026-07-04T11:21:32Z | null | NONE | null | 20260704T120019Z | 2026-07-04T12:00:19Z | MutugiD | 61,890,059 | MDQ6VXNlcjYxODkwMDU5 | User | false |
huggingface/transformers | 4,808,946,457 | I_kwDOCUB6oc8AAAABHqKzGQ | 47,067 | https://github.com/huggingface/transformers/issues/47067 | https://api.github.com/repos/huggingface/transformers/issues/47067 | [i18n-<languageCode>] Translating docs to <languageName> | Hi! I’m a native Japanese speaker and I’d like to help translate the Japanese documentation.
Can I work on docs/source/en/model_doc/distilbert.md?
I’ll add the Japanese version under docs/source/ja/model_doc/ and update docs/source/ja/_toctree.yml. | open | null | false | 0 | [
"WIP"
] | [] | 2026-07-04T12:21:47Z | 2026-07-04T12:21:47Z | null | NONE | null | 20260704T180019Z | 2026-07-04T18:00:19Z | VIUK-XV | 216,173,586 | U_kgDODOKMEg | User | false |
huggingface/transformers | 4,809,481,408 | I_kwDOCUB6oc8AAAABHqrcwA | 47,070 | https://github.com/huggingface/transformers/issues/47070 | https://api.github.com/repos/huggingface/transformers/issues/47070 | ASR pipeline: unconditional torchcodec import crashes on broken torchcodec installs | ### System Info
- transformers 5.12.1, torch 2.10.0, torchcodec 0.14.0 (installed as a dependency of pyannote-audio 4.0.7)
- macOS 15.6 (arm64), Python 3.11.12
- Same failure mode applies to any platform where the installed torchcodec cannot be imported.
### Reproduction
`AutomaticSpeechRecognitionPipeline.preproces... | open | null | false | 0 | [] | [] | 2026-07-04T15:08:32Z | 2026-07-04T15:08:32Z | null | NONE | null | 20260704T180019Z | 2026-07-04T18:00:19Z | evnsnclr | 139,897,548 | U_kgDOCFaqzA | User | false |
huggingface/transformers | 4,809,134,969 | I_kwDOCUB6oc8AAAABHqWTeQ | 47,068 | https://github.com/huggingface/transformers/issues/47068 | https://api.github.com/repos/huggingface/transformers/issues/47068 | Potential host synchronization in deepspeed_sp_compute_loss due to Python conditional on CUDA tensor | ### System Info
- Transformers: 4.57.2
- PyTorch: 2.7.1+cu128
- DeepSpeed: 0.17.6
- CUDA: 12.8
- GPU: NVIDIA B300 SXM6 (2 nodes × 8 GPUs, 16 GPUs total)
- Interconnect:
- Intra-node: NVSwitch
- Inter-node: InfiniBand
### Information
While profiling a distributed training workload with Nsight Systems, I observed ... | open | null | false | 1 | [
"bug"
] | [] | 2026-07-04T13:24:14Z | 2026-07-04T17:25:37Z | null | NONE | null | 20260704T180019Z | 2026-07-04T18:00:19Z | hdimmfh | 74,033,655 | MDQ6VXNlcjc0MDMzNjU1 | User | false |
huggingface/transformers | 4,812,538,665 | I_kwDOCUB6oc8AAAABHtmDKQ | 47,085 | https://github.com/huggingface/transformers/issues/47085 | https://api.github.com/repos/huggingface/transformers/issues/47085 | Fast (Rust-backed) tokenizers aren't thread-safe anymore | ### System Info
transformers 5.5.4
Python 3.12.3
### Who can help?
text models: @ArthurZucker @Cyrilvallez @vasqu
### 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 ... | open | null | false | 1 | [
"bug"
] | [] | 2026-07-05T10:57:08Z | 2026-07-06T00:50:07Z | null | NONE | null | 20260706T060036Z | 2026-07-06T06:00:36Z | dxqb | 183,307,934 | U_kgDOCu0Ong | User | false |
huggingface/transformers | 4,812,866,664 | I_kwDOCUB6oc8AAAABHt6EaA | 47,086 | https://github.com/huggingface/transformers/issues/47086 | https://api.github.com/repos/huggingface/transformers/issues/47086 | Hybrid models: padding is not masked out of linear-attention/conv state on continued forwards (chunked prefill, cache continuation) | ### System Info
- `transformers` main (5.14.0.dev0, commit b70d02fc)
- torch 2.12.1, CPU, float32 (fla / causal_conv1d not installed, so all numbers below use the torch fallback path; the skipped masking happens before kernel dispatch, so the fast paths receive the same unmasked hidden states)
- Python 3.12
### Who c... | open | null | false | 0 | [
"bug"
] | [] | 2026-07-05T12:41:27Z | 2026-07-05T12:43:09Z | null | NONE | null | 20260705T180020Z | 2026-07-05T18:00:20Z | abcgco | 53,853,163 | MDQ6VXNlcjUzODUzMTYz | User | false |
huggingface/transformers | 4,815,054,604 | I_kwDOCUB6oc8AAAABHv_nDA | 47,091 | https://github.com/huggingface/transformers/issues/47091 | https://api.github.com/repos/huggingface/transformers/issues/47091 | [serge] integration failure triage - 2026-07-05 | <!-- serge-triage-run:integration-failure-triage:2026-07-05 -->
Automated **integration-failure triage** for the daily CI window `2026-06-29 → 2026-07-05`.
This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before... | open | null | false | 0 | [] | [] | 2026-07-06T00:32:08Z | 2026-07-06T00:32:25Z | null | CONTRIBUTOR | null | 20260706T060036Z | 2026-07-06T06:00:36Z | github-actions[bot] | 41,898,282 | MDM6Qm90NDE4OTgyODI= | Bot | false |
huggingface/transformers | 4,816,035,994 | I_kwDOCUB6oc8AAAABHw7gmg | 47,095 | https://github.com/huggingface/transformers/issues/47095 | https://api.github.com/repos/huggingface/transformers/issues/47095 | [Proposal] HeartFlow - Cognitive Engine for HuggingFace Transformers | ## Proposal: HeartFlow × HuggingFace Transformers
### What is HeartFlow?
HeartFlow is an **AI cognitive engine** (68 modules) that adds judgment to any HuggingFace model:
```
├── Three-Layer Memory # Context persistence
├── Decision Routing # 34 rules → 8 strategies
├── U/D/A/H Field # Cognitive healt... | open | null | false | 0 | [] | [] | 2026-07-06T04:46:55Z | 2026-07-06T04:46:55Z | null | NONE | null | 20260706T060036Z | 2026-07-06T06:00:36Z | yun520-1 | 251,003,022 | U_kgDODvYAjg | User | false |
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