repo stringclasses 147
values | number int64 1 172k | title stringlengths 2 476 | body stringlengths 0 5k | url stringlengths 39 70 | state stringclasses 2
values | labels listlengths 0 9 | created_at timestamp[ns, tz=UTC]date 2017-01-18 18:50:08 2026-01-06 07:33:18 | updated_at timestamp[ns, tz=UTC]date 2017-01-18 19:20:07 2026-01-06 08:03:39 | comments int64 0 58 ⌀ | user stringlengths 2 28 |
|---|---|---|---|---|---|---|---|---|---|---|
huggingface/transformers.js | 1,339 | Model is cached, but still reloads from network? | ### Question
I have this code in a React project :
```
import { env, pipeline } from "@xenova/transformers";
const model = await pipeline("translation", "Xenova/opus-mt-de-en");
let transText = await model("hallo, ich bin hier");
```
When I inspect the browser cache, I see relevant files in "cache storage". (xenov... | https://github.com/huggingface/transformers.js/issues/1339 | closed | [
"question"
] | 2025-06-11T16:19:26Z | 2025-06-27T06:06:25Z | null | patrickinminneapolis |
huggingface/peft | 2,583 | Lora transfer learning | Hello, I am training a lora model using flux fill pipeline using diffusers+peft+accelerate. I already have a lora model for general purpose for my application which was trained for 5k steps and large dataset. Now, I want to do transfer learning to finetune on very small dataset but want to train from previous lora mode... | https://github.com/huggingface/peft/issues/2583 | closed | [] | 2025-06-11T12:00:25Z | 2025-07-20T15:04:05Z | 4 | hardikdava |
huggingface/transformers | 38,750 | Is it a good choice to early error when `output_attentions=True` and attn implementation not equal to `eager` | ### System Info
Before this PR [38288](https://github.com/huggingface/transformers/pull/38288), the program will run smoothly even when we set `output_attentions=True` and the attn implementation is not `eager`, as it will fallback to use eager mode, after this PR, it will throw error directly: [L342](https://github.c... | https://github.com/huggingface/transformers/issues/38750 | closed | [
"bug"
] | 2025-06-11T11:05:48Z | 2025-06-25T08:00:06Z | 2 | kaixuanliu |
huggingface/lerobot | 1,262 | use smolVLA, How to know the current task is completed | I use smolVLA to do a wiping task, it will keep doing the task again and again, how to judge the task is completed, thank you | https://github.com/huggingface/lerobot/issues/1262 | open | [
"question",
"policies"
] | 2025-06-11T08:48:03Z | 2025-08-12T10:04:14Z | null | haoyankai |
huggingface/transformers.js | 1,338 | Question about supporting Float16Array | ### Question
I am trying transformers.js with WebGPU. The performance is great, but I found that transformers.js returns a Float32Array where the model is quantized to `fp16`:
```javascript
const extractor = await pipeline(
"feature-extraction",
"bge-small-zh-v1.5",
{
device: "webgpu",
dty... | https://github.com/huggingface/transformers.js/issues/1338 | open | [
"question"
] | 2025-06-11T07:29:19Z | 2025-07-03T05:50:56Z | null | xmcp |
huggingface/transformers | 38,745 | [Bug][InformerForPredict] The shape will cause a problem | ### System Info
When I set the infomerconfig.input_size = 1, I find a bug, but I don't know how to fix it.
- Function Name : `create_network_inputs`
```
time_feat = (
torch.cat(
(
past_time_features[:, self._past_length - self.config.context_length :, ...],
... | https://github.com/huggingface/transformers/issues/38745 | closed | [
"bug"
] | 2025-06-11T07:22:06Z | 2025-07-20T11:41:45Z | 11 | 2004learner |
huggingface/transformers | 38,740 | [DOCS] Add `pruna` as optimization framework | ### Feature request
Have a section on Pruna AI within the documentation. We did [a similar PR for diffusers](https://github.com/huggingface/diffusers/pull/11688) and thought it would be nice to show how to optimize transformers models too.
.
### Motivation
Have a section on Pruna AI within the documentation to show... | https://github.com/huggingface/transformers/issues/38740 | open | [
"Feature request"
] | 2025-06-11T04:52:33Z | 2025-07-16T08:56:52Z | 8 | davidberenstein1957 |
huggingface/sentence-transformers | 3,390 | How to create a customized model architecture that fits sentence-transformer's training framework? | I'd like to train a two tower model that takes categorical features, floats features in one tower, and the other tower just encodes a document using an out of the box embedding. Then the outputs from both towers are feed into sentence transformers loss function. All the training configuration should reuse sentence tr... | https://github.com/huggingface/sentence-transformers/issues/3390 | open | [] | 2025-06-11T03:07:42Z | 2025-06-12T05:05:54Z | null | HuangLED |
huggingface/lerobot | 1,258 | Leader Servo Numbering different from script to documentation | First thank you for sharing this amazing work!
I am initializing the servos for the arm leader and I noticed that the numbering for the Wrist Roll and Wrist Pitch are different from the documentation when I ran the script:
wris... | https://github.com/huggingface/lerobot/issues/1258 | open | [
"documentation",
"question"
] | 2025-06-10T21:03:03Z | 2025-08-12T10:04:29Z | null | FaboNo |
huggingface/transformers | 38,733 | GRPO per_device_eval_batch_size can't be set as 1, when there is only 1 GPU | `eval batch size must be evenly divisible by the number of generations per prompt. ` When I only have one GPU, I cannot set `per_device_eval_batch_size=1` because there will be no reasonable G to choose from. Is it possible to automatically calculate a value similar to the number of gradient accumulation steps to achie... | https://github.com/huggingface/transformers/issues/38733 | closed | [] | 2025-06-10T14:58:11Z | 2025-06-11T09:45:32Z | 0 | CasanovaLLL |
huggingface/lerobot | 1,254 | [Feature Proposal] Planning a new user friendly simulation environment for new task and data collection | Hello and bonjour! First and foremost, I really wanted to thanks the team and community for making this wonderful repo. It really helps and guide beginner in this field. And I also wanted to contribute for the community.
Reading the issues here, I found a lot of people are trying to run without physical robot. But wit... | https://github.com/huggingface/lerobot/issues/1254 | open | [
"question",
"simulation"
] | 2025-06-10T12:36:13Z | 2025-08-12T10:04:42Z | null | Bigenlight |
huggingface/lerobot | 1,252 | Failed to sync read 'Present_Position' on ids=[2,3,4,6]after 1 tries. [TxRxResult] There is no status packet | my arm is koch，when I set the motors ids and baudrates, it report error:
Failed to sync read 'Present_Position' on ids=[2,3,4,6]after 1 tries. [TxRxResult] There is no status packet | https://github.com/huggingface/lerobot/issues/1252 | open | [
"question",
"robots"
] | 2025-06-10T10:21:05Z | 2025-09-01T02:24:25Z | null | huazai665 |
huggingface/lerobot | 1,251 | where is async inference | hi,thx for your SmolVLA
I have a question:**where is the async inference?**
the eval.py in script doesn't seem for SmolVLA inference
hope for your early reply,thx in advance | https://github.com/huggingface/lerobot/issues/1251 | closed | [] | 2025-06-10T07:44:38Z | 2025-06-30T11:35:25Z | null | JuilieZ |
huggingface/transformers.js | 1,336 | node.js WebGPU compatibility and WASM performance in web enviornment | ### Question
Hello!
I've been running some performance benchmarks on whisper models and noticed that the web environment (running in react renderer in electron, separate worker with WASM) produced slower transcription results than the python counterpart (e.g. 1400ms vs 400ms per batch) - both utilizing the same numbe... | https://github.com/huggingface/transformers.js/issues/1336 | open | [
"question"
] | 2025-06-10T06:05:36Z | 2025-06-11T06:53:35Z | null | devnarekm |
huggingface/transformers | 38,709 | `get_video_features` in XCLIPModel always returns `pooled_output` | ### System Info
https://github.com/huggingface/transformers/blob/f4fc42216cd56ab6b68270bf80d811614d8d59e4/src/transformers/models/x_clip/modeling_x_clip.py#L1376
Hi
The `get_video_features` function is hardcoded to always return the `pooled_output`. But sometimes, it might be beneficial to get the `last_hidden_state... | https://github.com/huggingface/transformers/issues/38709 | closed | [
"bug"
] | 2025-06-10T00:51:37Z | 2025-07-18T08:02:50Z | 4 | Vishu26 |
huggingface/lerobot | 1,242 | SmolVLA Gym Simulation - Release? | Hello,
I've trained the smolvla_base for 200K steps. I'm trying to do a inference and visualize like we do for aloha or pusht. Could anyone guide me on this.
I dont have a robot arm, so Gym simulation is something I'm looking for, when will it be released? | https://github.com/huggingface/lerobot/issues/1242 | closed | [
"question",
"policies",
"visualization"
] | 2025-06-09T13:05:38Z | 2025-10-17T11:00:57Z | null | Jaykumaran |
huggingface/smollm | 78 | how to continously pretrain VLM base model | rt.
How can I pretrain VLM base model？ | https://github.com/huggingface/smollm/issues/78 | open | [
"Image",
"Video"
] | 2025-06-09T07:04:57Z | 2025-07-29T12:50:50Z | null | allenliuvip |
huggingface/text-generation-inference | 3,259 | Enable passing arguments to chat templates | ### Feature request
I would like to enable passing parameters to a chat template when using the messages API. Something like:
```python
qwen3_model = HuggingFaceModel(...)
predictor = qwen3_model.deploy(...)
predictor.predict({
"messages": [
{"role": "system", "content": "You are a helpful assistant." },
... | https://github.com/huggingface/text-generation-inference/issues/3259 | open | [] | 2025-06-09T06:04:27Z | 2025-06-09T07:53:17Z | 2 | alexshtf |
huggingface/datasets | 7,600 | `push_to_hub` is not concurrency safe (dataset schema corruption) | ### Describe the bug
Concurrent processes modifying and pushing a dataset can overwrite each others' dataset card, leaving the dataset unusable.
Consider this scenario:
- we have an Arrow dataset
- there are `N` configs of the dataset
- there are `N` independent processes operating on each of the individual configs (... | https://github.com/huggingface/datasets/issues/7600 | closed | [] | 2025-06-07T17:28:56Z | 2025-07-31T10:00:50Z | 4 | sharvil |
huggingface/lerobot | 1,226 | 404 Not Found | [lerobot](https://github.com/huggingface/lerobot/tree/main)/[examples](https://github.com/huggingface/lerobot/tree/main/examples)
/10_use_so100.md/
This is supposed to be a tutorial but cannot be opened???
404 Not Found!!!
| https://github.com/huggingface/lerobot/issues/1226 | closed | [
"documentation",
"question"
] | 2025-06-07T09:02:37Z | 2025-06-08T21:26:07Z | null | luk-e158 |
huggingface/transformers | 38,656 | Potential Memory Leak or Caching in Fast Image Processor | ### System Info
Hi team,
Thank you for your great work on `transformers`!
While using the `AutoProcessor` with `use_fast=True`, I noticed that there seems to be a memory leak or possibly some form of persistent caching when processing images. Even after deleting the processor and clearing the CUDA cache, approximate... | https://github.com/huggingface/transformers/issues/38656 | closed | [
"bug"
] | 2025-06-07T08:46:48Z | 2025-08-12T13:02:37Z | 8 | yhyang201 |
huggingface/transformers | 38,654 | The visualization of image input in Qwen2.5-VL | The image input of Qwen2.5-VL is processed by processor and then saved as tensor in inputs['pixel_values'].
I tried to restore the image, using tensor in inputs['pixel_values'], but I found that the restored image patches were in disorder.
So how to restore the image from inputs['pixel_values'] in a proper way?
For ex... | https://github.com/huggingface/transformers/issues/38654 | closed | [] | 2025-06-07T08:15:44Z | 2025-06-10T09:04:04Z | 2 | Bytes-Lin |
huggingface/lerobot | 1,223 | smolvla introduce an asynchronous inference stack decoupling perception and action prediction? | why code not realize? | https://github.com/huggingface/lerobot/issues/1223 | closed | [
"question",
"policies"
] | 2025-06-07T01:23:24Z | 2025-06-08T21:25:04Z | null | zmf2022 |
huggingface/transformers | 38,650 | Support of Qwen3 GGUF model | Hi, I am getting the following error when I want to use the GGUF model with Qwen3
"ValueError: GGUF model with architecture qwen3 is not supported yet."
I have the latest transformers and gguf-0.17.0
```
self.tokenizer = AutoTokenizer.from_pretrained(model_name, gguf_file= "Qwen3-0.6B-Q2_K_L.gguf",use_fast=True)
... | https://github.com/huggingface/transformers/issues/38650 | closed | [] | 2025-06-06T20:11:23Z | 2025-07-15T08:02:59Z | 2 | Auth0rM0rgan |
huggingface/diffusers | 11,675 | Error in loading the pretrained lora weights | Hi, I am using the script https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_lora_sdxl.py to train a lora.
An error is raised on https://github.com/huggingface/diffusers/blob/73a9d5856f2d7ae3637c484d83cd697284ad3962/examples/text_to_image/train_text_to_image_lora_sdxl.py#L131... | https://github.com/huggingface/diffusers/issues/11675 | closed | [] | 2025-06-06T17:09:45Z | 2025-06-07T07:40:14Z | 1 | garychan22 |
huggingface/text-generation-inference | 3,257 | if use chat.completions, text+image inference return incorrect output because of template issue | ### System Info
common in all platform
### Information
- [ ] Docker
- [ ] The CLI directly
### Tasks
- [ ] An officially supported command
- [ ] My own modifications
### Reproduction
text-generation-launcher --model-id=llava-hf/llava-v1.6-mistral-7b-hf --max-input-tokens 4096 --max-batch-prefill-tokens 16384 -... | https://github.com/huggingface/text-generation-inference/issues/3257 | open | [] | 2025-06-06T13:06:20Z | 2025-06-06T13:11:22Z | 2 | sywangyi |
huggingface/nanotron | 372 | datatrove need numpy>=2.0.0 bug nanotron 0.4 requires numpy<2, how to fix? | https://github.com/huggingface/nanotron/issues/372 | open | [] | 2025-06-06T12:12:39Z | 2025-11-22T14:44:01Z | null | lxyyang | |
huggingface/transformers | 38,613 | MDX Errors | ### System Info
Ubuntu 24.04.2 LTS, CPython 3.11.12, transformers==4.53.0.dev0
@stevhliu I'm trying to contribute to the model cards. I forked the latest transformers and I ran the scripts, from the home page and then I want to the documents page. I'm having issues with the doc builder. I keep receiving the errors... | https://github.com/huggingface/transformers/issues/38613 | closed | [
"bug"
] | 2025-06-05T14:19:45Z | 2025-06-06T20:12:36Z | 7 | rileyafox |
huggingface/diffusers | 11,661 | [BUG]: Using args.max_train_steps even if it is None in diffusers/examples/flux-control | ### Describe the bug
Under [https://github.com/huggingface/diffusers/tree/main/examples/flux-control](examples/flux-control) there are two files showing how to fine tune flux-control:
- [train_control_flux.py](https://github.com/huggingface/diffusers/blob/main/examples/flux-control/train_control_flux.py)
- [train_cont... | https://github.com/huggingface/diffusers/issues/11661 | closed | [
"bug"
] | 2025-06-05T07:18:06Z | 2025-06-05T09:26:26Z | 0 | Markus-Pobitzer |
huggingface/lerobot | 1,203 | Could you please upload the config.json file for smolvla? |
Could you please upload the config.json file for smolvla? Thank you very much!
FileNotFoundError: config.json not found on the HuggingFace Hub in lerobot/smolvla_base
| https://github.com/huggingface/lerobot/issues/1203 | closed | [
"question"
] | 2025-06-05T06:59:12Z | 2025-06-11T14:56:56Z | null | Pandapan01 |
huggingface/transformers | 38,601 | Contribute to Transformers on windows natively without WSL | ### System Info
### System info
OS: Windows 11
Python: 3.13.3 and 3.10
Git: 2.49.0
CMake: 4.0.2
Msys64: Pacman v6.1.0 - libalpm v14.0.0
Pip: 25.1.1
Setuptools: 80.9.0
Visual studio C++ build tools
### NOTE: I followed the steps here [Contribute to 🤗 Transformers](https://huggingface.co/docs/transformers/en/contrib... | https://github.com/huggingface/transformers/issues/38601 | closed | [
"bug"
] | 2025-06-05T04:14:12Z | 2025-07-27T08:02:54Z | 4 | ghost |
huggingface/diffusers | 11,657 | Custom Wan diffusion Lora runs without error but doesn't apply effect and gives warning: No LoRA keys associated to WanTransformer3DModel found with the prefix='transformer'. | ### Describe the bug
I run the diffusers pipe using the standard process with a custom diffusers trained lora:
pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
pipe.scheduler = scheduler
pipe.load_lora_weights("lora/customdiffusers_lora.safetensors")
etc...
it runs without error but... | https://github.com/huggingface/diffusers/issues/11657 | closed | [
"bug"
] | 2025-06-04T19:50:14Z | 2025-09-12T03:32:17Z | 3 | st-projects-00 |
huggingface/transformers | 38,576 | A local variable 'image_seq_length' leading to UnboundLocalError: cannot access local variable 'image_seq_length' where it is not associated with a value | ### System Info
- `transformers` version: 4.52.3
- Platform: Linux-5.15.0-125-generic-x86_64-with-glibc2.35
- Python version: 3.12.2
- Huggingface_hub version: 0.32.2
- Safetensors version: 0.5.3
- Accelerate version: 0.26.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?):... | https://github.com/huggingface/transformers/issues/38576 | closed | [
"bug"
] | 2025-06-04T09:06:04Z | 2025-06-04T12:20:33Z | null | IceGiraffe |
huggingface/lerobot | 1,195 | ros2_control support | Hello,
I was thinking that it would be great to use the robot with ros2_control :
- to test code developped with the ROS2 framework:
- for education purposes : the robot is great, easily and not expensive to build (thank you for the work achieved), transporteable in a case, etc.
Do you have any knowledge of an exist... | https://github.com/huggingface/lerobot/issues/1195 | open | [
"enhancement",
"question"
] | 2025-06-03T15:31:53Z | 2025-11-27T16:30:08Z | null | baaluidnrey |
huggingface/diffusers | 11,648 | how to load lora weight with fp8 transfomer model? | Hi, I want to run fluxcontrolpipeline with transformer_fp8 reference the code :
https://huggingface.co/docs/diffusers/api/pipelines/flux#quantization
```
import torch
from diffusers import BitsAndBytesConfig as DiffusersBitsAndBytesConfig, FluxTransformer2DModel, FluxControlPipeline
from transformers import BitsAndB... | https://github.com/huggingface/diffusers/issues/11648 | open | [] | 2025-06-03T10:31:23Z | 2025-06-19T12:37:35Z | null | Johnson-yue |
huggingface/candle | 2,986 | How to reset gradient before each batch | In Pytorch, you would call `optimizer.zero_grad` to zero the gradients before every batch. How do you do this in candle? | https://github.com/huggingface/candle/issues/2986 | open | [] | 2025-06-03T10:17:52Z | 2025-06-03T10:17:52Z | null | lokxii |
huggingface/transformers | 38,544 | Paligemma model card needs update | Hi
I found a minor problem with paligemma model card. How can I raise a PR to fix it ? I am first time contributor. I raised PR. Whom should I mention to review it ?
https://huggingface.co/google/paligemma-3b-pt-896 | https://github.com/huggingface/transformers/issues/38544 | closed | [] | 2025-06-03T06:55:14Z | 2025-07-14T16:23:52Z | 7 | punitvara |
huggingface/transformers | 38,541 | `eager_attention_forward` and `repeat_kv` code duplication | I see the two functions appear in a lot of places in the code base. Shall we unify them into a single place?
And can we treat `eager_attention_forward` as another option in [`ALL_ATTENTION_FUNCTIONS`](https://github.com/huggingface/transformers/blob/main/src/transformers/modeling_utils.py#L6186)? Any concerns? | https://github.com/huggingface/transformers/issues/38541 | closed | [] | 2025-06-03T00:57:16Z | 2025-06-10T10:27:25Z | 3 | ChengLyu |
huggingface/chat-ui | 1,843 | can you make a release? | The current codebase is far away from the official release in November, maybe you can stabilize and release current code? | https://github.com/huggingface/chat-ui/issues/1843 | open | [
"enhancement"
] | 2025-06-02T21:26:51Z | 2025-07-21T20:44:03Z | 1 | antonkulaga |
huggingface/transformers | 38,527 | Why do you remove sample_indices_fn for processor.apply_chat_template? | Just as shown in the picture, since 4.52 processor.apply_chat_template does no longer support sample_indices_fn but the args doc is still there.
<img width="712" alt="Image" src="https://github.com/user-attachments/assets/e055d5f5-4800-4eb7-8054-0f41a9be5707" /> | https://github.com/huggingface/transformers/issues/38527 | closed | [] | 2025-06-02T12:34:23Z | 2025-06-03T02:44:22Z | 1 | futrime |
huggingface/optimum | 2,284 | Error when exporting DinoV2 with Registers | When trying :
` python -m scripts.convert --quantize --model_id facebook/dinov2-with-registers-small`
I Got :
`ValueError: Trying to export a dinov2-with-registers model, that is a custom or unsupported architecture, but no custom onnx configuration was passed as `custom_onnx_configs`. Please refer to https://huggi... | https://github.com/huggingface/optimum/issues/2284 | closed | [
"Stale"
] | 2025-06-02T08:53:55Z | 2025-07-04T02:16:54Z | 1 | elkizana |
huggingface/agents-course | 523 | [QUESTION] The final quiz of Unit 1, always crashes with dataset not found | First, the **best way to get a response fast is to ask the community** in our Discord server: https://www.hf.co/join/discord
However, if you prefer you can ask here, please **be specific**.
Dataset 'agents-course/unit_1_quiz' doesn't exist on the Hub or cannot be accessed.
The full log is:
```
Traceback (most rec... | https://github.com/huggingface/agents-course/issues/523 | open | [
"question"
] | 2025-06-02T07:58:01Z | 2025-06-02T07:58:01Z | null | abcnishant007 |
huggingface/peft | 2,563 | Integrate Lily | ### Feature request
This request proposes integrating Lily (Low-Rank Interconnected Adaptation across Layers), accepted to ACL 2025 Findings, into the PEFT library.
Paper: https://arxiv.org/pdf/2407.09946
Repo: https://github.com/yibozhong/lily
### Motivation
Lily aims to directly make the rank of each indivi... | https://github.com/huggingface/peft/issues/2563 | closed | [] | 2025-06-02T07:23:30Z | 2025-12-18T14:03:32Z | 15 | yibozhong |
huggingface/lerobot | 1,180 | dataset training | How many episodes do you recommend making for each file when learning the dataset? Can I create about 400 episodes by putting different tasks in each episode? Or can I create the same task data for each file and combine multiple files? | https://github.com/huggingface/lerobot/issues/1180 | closed | [
"question",
"dataset"
] | 2025-06-01T15:59:47Z | 2025-10-08T12:54:48Z | null | bruce577 |
huggingface/lerobot | 1,177 | [Question] Why using a kernel device for IP cameras? | I'm wondering why, when we have an IP camera (by using DroidCam on Android for instance), the team decided to plug the IP camera into a loopback device in `/dev/videoX` instead of directly reading the video stream in the code with Opencv `cv2.VideoCapture(url)`. I understand doing this allows controlling FPS & resoluti... | https://github.com/huggingface/lerobot/issues/1177 | closed | [
"question",
"robots",
"stale"
] | 2025-05-31T05:24:21Z | 2025-12-31T02:35:18Z | null | godardt |
huggingface/transformers | 38,501 | torch.compile fails for gemma-3-1b-it | ### System Info
- `transformers` version: 4.52.4
- Platform: Linux-6.15.0-1-MANJARO-x86_64-with-glibc2.41
- Python version: 3.12.8
- Huggingface_hub version: 0.32.3
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): 2.... | https://github.com/huggingface/transformers/issues/38501 | closed | [
"bug"
] | 2025-05-30T21:01:41Z | 2025-06-02T20:45:54Z | 6 | InCogNiTo124 |
huggingface/transformers | 38,500 | Unable to deploy Gemma 3 on AWS SageMaker due to lack of support in tranfomers release | hi,
it seems when i deploy the model
```
huggingface_model = HuggingFaceModel(
model_data=model_s3_uri,
role=role,
transformers_version="4.49.0",
pytorch_version="2.6.0",
py_version="py312",
)
predictor = huggingface_model.deploy(
instance_type="ml.g5.48xlarge",
initial_instance_cou... | https://github.com/huggingface/transformers/issues/38500 | closed | [] | 2025-05-30T17:10:22Z | 2025-07-08T08:02:37Z | 2 | ehrun32 |
huggingface/transformers | 38,499 | ModernBERT for MLM outputs incorrect hidden state shape. | ### System Info
When using `ModernBERTForMaskedLM` with `output_hidden_states=True` the hidden state is not correctly padded when it is returned. A minimal example is included below:
```
import torch
from transformers import AutoTokenizer, ModernBertForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("answerdotai/... | https://github.com/huggingface/transformers/issues/38499 | closed | [
"bug"
] | 2025-05-30T17:02:55Z | 2025-07-08T08:02:39Z | 2 | jfkback |
huggingface/lerobot | 1,174 | [Question] Multi-Rate Sensor and Discrete Event Handling in `lerobot` | Hello `lerobot` Team,
First off, huge thanks for building such an awesome open-source project!
I'm currently exploring `lerobot` for a project and have some critical questions regarding its data handling, specifically for multi-rate sensors and discrete events. My understanding from the README is that `lerobot` recor... | https://github.com/huggingface/lerobot/issues/1174 | open | [
"question",
"dataset"
] | 2025-05-30T09:04:13Z | 2025-12-17T10:44:46Z | null | MilkClouds |
huggingface/transformers | 38,489 | VLM reverse mapping logic in modeling_utils.py save_pretrained not doing anything? | ### System Info
transformers version: 4.52.3
Platform: Ubuntu 24.04
Python version: 3.11.0
Huggingface_hub version: 0.32.2
Safetensors version: 0.5.3
Accelerate version: 1.7.0
Accelerate config: not found
DeepSpeed version: not installed
PyTorch version (GPU?): 2.7.0+cu126 (H100)
Tensorflow version (GPU?): not install... | https://github.com/huggingface/transformers/issues/38489 | closed | [
"bug"
] | 2025-05-30T08:55:57Z | 2025-05-30T13:08:58Z | 6 | rolandtannous |
huggingface/diffusers | 11,637 | How to load lora weight in distribution applications? | If I want to use xDiT with 2 GPU inference FluxControlPipeline, how should I do
I write a xFuserFluxControlPipeline class, but it can not load lora weight with right way
xFuserFluxTransformer in 1GPU have some parameters and another GPU have others.
How should I do ?? | https://github.com/huggingface/diffusers/issues/11637 | open | [] | 2025-05-30T07:14:50Z | 2025-06-03T10:15:51Z | null | Johnson-yue |
huggingface/peft | 2,558 | GraLoRA support? | ### Feature request
will the library support the [GraLoRA](https://arxiv.org/abs/2505.20355) technique?
### Motivation
GraLoRA addresses a fundamental limitation of LoRA: overfitting when the bottleneck is widened.
The technique seems to more closely approximate full fine-tuning; hybrid GraLoRA gets the best of bot... | https://github.com/huggingface/peft/issues/2558 | closed | [] | 2025-05-29T18:36:27Z | 2025-07-15T15:04:20Z | 10 | DiTo97 |
huggingface/lerobot | 1,171 | sync_read.py | Hi, I am currently testing the functions in the STServo_Python folder to work with my STS3215 motors. When I run the sync_read.py script, I encounter an issue caused by the addParam(self, sts_id) function returning False. I tried several things, but I can't get past the error.
I made sure that the motor IDs are correct... | https://github.com/huggingface/lerobot/issues/1171 | closed | [
"bug",
"question",
"robots",
"stale"
] | 2025-05-29T15:33:16Z | 2025-12-31T02:35:19Z | null | Baptiste-le-Beaudry |
huggingface/candle | 2,974 | Any good first issues a newcomer could tackle? | Hey! I've been using this crate for a while now and would love to start contributing back! I notice that your issues aren't labelled, who should I contact/do you have a list of issues that would be good for me? | https://github.com/huggingface/candle/issues/2974 | open | [] | 2025-05-29T04:19:18Z | 2025-05-30T18:25:37Z | 3 | Heidar-An |
huggingface/xet-core | 358 | How can I have snapshot_download to have continue feature? Errors became very common | Whenever some error happens and i run same code, it starts from 0
It is XET enabled repo and hf xet installed
I really need to have resume feature
my entire code
```
from huggingface_hub import snapshot_download
import os
import argparse
def download_models(target_dir=None):
"""
Download models from Huggi... | https://github.com/huggingface/xet-core/issues/358 | closed | [
"enhancement"
] | 2025-05-28T22:30:19Z | 2025-11-20T17:08:35Z | null | FurkanGozukara |
huggingface/transformers | 38,452 | Memory saving by upcasting logits for only non-ignored positions | ### Feature request
In [`loss_utils.py`](https://github.com/huggingface/transformers/blob/main/src/transformers/loss/loss_utils.py), logits are upcasted for float32 for some losses. This can waste memory for cases where certain labels are `ignore_index`. This is especially true for fine tuning cases where one chooses ... | https://github.com/huggingface/transformers/issues/38452 | open | [
"Feature request"
] | 2025-05-28T18:58:52Z | 2025-05-29T12:38:15Z | 1 | harshit2997 |
huggingface/speech-to-speech | 163 | how to use this with Livekit Agent? | how to use this with Livekit Agent? | https://github.com/huggingface/speech-to-speech/issues/163 | open | [] | 2025-05-28T18:27:11Z | 2025-05-28T18:27:11Z | null | Arslan-Mehmood1 |
huggingface/transformers | 38,448 | num_items_in_batch larger than the actual useful token when computing loss | def fixed_cross_entropy(source, target, num_items_in_batch: int = None, ignore_index: int = -100, **kwargs):
I check the shape of the inputs and find follows:
In [1]: logits.shape
Out[1]: torch.Size([4, 896, 152064])
In [2]: labels.shape
Out[2]: torch.Size([4, 896])
In [3]: num_items_in_batch
Out[3]: 4390
Why is 439... | https://github.com/huggingface/transformers/issues/38448 | closed | [] | 2025-05-28T15:28:05Z | 2025-05-31T02:30:07Z | 4 | SHIFTTTTTTTT |
huggingface/transformers | 38,435 | [i18n-ro] Translating docs to Romanian | Hi!
Let's bring the documentation to all the Romanian-speaking community 🌐
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md). Here is a list of the files ready for translation. Let us know in this issue if you'd like to t... | https://github.com/huggingface/transformers/issues/38435 | open | [
"WIP"
] | 2025-05-28T12:01:48Z | 2025-05-28T15:53:39Z | 2 | zero-point |
huggingface/transformers | 38,428 | [Question] The logic of data sampler in data parallel. | Hi, thanks for your attention.
When reading the source code of transformers, I cannot understand the implementation of `_get_train_sampler` in `trainer.py`. Why the default data sampler is `RandomSampler` rather than `DistributedSampler`? How does the trainer handle the sampler for data parallel?
reference code: http... | https://github.com/huggingface/transformers/issues/38428 | closed | [] | 2025-05-28T08:49:13Z | 2025-07-06T08:02:36Z | 3 | kxzxvbk |
huggingface/transformers | 38,425 | Can not load TencentBAC/Conan-embedding-v2 | ### System Info
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.
### Who c... | https://github.com/huggingface/transformers/issues/38425 | closed | [
"bug"
] | 2025-05-28T08:21:23Z | 2025-05-28T14:58:03Z | 1 | shanekao-sks |
huggingface/accelerate | 3,596 | How to distribute the model into multiple GPUs using accelerate? | I have 4 GPUs. If I only use a single GPU to train the model, there will be an OutOfMemoryError raised. How can I distribute the model into all the 4 GPUs to avoid the OutOfMemoryError using accelerate? | https://github.com/huggingface/accelerate/issues/3596 | closed | [] | 2025-05-28T06:27:08Z | 2025-05-28T14:06:18Z | null | GeorgeCarpenter |
huggingface/candle | 2,971 | Enhance the usability of the tensor struct | Hello,
I’m currently learning how to use Candle with the book Dive into Deep Learning, but implementing the code in Candle. I noticed that Candle is missing some practical utility functions, such as:
* The Frobenius norm
* dot product (vector or matrix dot product)
* matrix-vector multiplication
While these functio... | https://github.com/huggingface/candle/issues/2971 | closed | [] | 2025-05-28T03:41:44Z | 2025-05-29T07:41:02Z | 1 | ssfdust |
huggingface/transformers.js | 1,323 | Cannot get the SAM model running like in example | ### Question
I've found that transformers.js supports SAM as written in 2.14.0 release notes.
https://github.com/huggingface/transformers.js/releases/tag/2.14.0
I'm running the code on a M1 mac in a Brave browser.
But after I've used and adapted the example script, I can actually see in my browser console that the m... | https://github.com/huggingface/transformers.js/issues/1323 | closed | [
"question"
] | 2025-05-27T20:01:49Z | 2025-11-29T12:32:29Z | null | BernhardBehrendt |
huggingface/chat-ui | 1,836 | Search feature tasks | We implemented a first version of the search chat feature in #1823, there's still some todos if people feel like tackling:
- [ ] Right now we only return the N most relevant snippets, we would need to return all matching conversations and implement infinite loading & pagination. The building blocks already exist in ... | https://github.com/huggingface/chat-ui/issues/1836 | closed | [
"enhancement",
"help wanted",
"front",
"back"
] | 2025-05-27T08:17:44Z | 2025-06-02T14:30:40Z | 7 | nsarrazin |
huggingface/transformers | 38,396 | Can I disable all CI works in my forked version of Transformers? | After I synced the `main` branch of Transformers in my forked version, github keeps running CI works and fails. Can I disable it? Thanks. | https://github.com/huggingface/transformers/issues/38396 | closed | [] | 2025-05-27T04:44:07Z | 2025-05-28T18:06:31Z | 2 | ChengLyu |
huggingface/doc-builder | 564 | How to ignore some line when applying style? | I have this in my code:
```python
expected_output = textwrap.dedent("""\
╭────────────────────── Step 42 ───────────────────────╮
│ ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┓ │
│ ┃ Prompt ┃ Completion ┃ Correctness ┃ Format ┃ │
│ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━┩ │
│ │ The sky is │ ... | https://github.com/huggingface/doc-builder/issues/564 | open | [] | 2025-05-26T21:58:08Z | 2025-05-26T21:59:13Z | null | qgallouedec |
huggingface/safetensors | 609 | Properties data | ### Feature request
Please add properties for the content of safetensor files.
(Which can be read without the requirement to load the whole thing ...)
### Motivation
Rename all your safetensor files to a numeric value from 1.safetensors to n.safetensors, where n is the amount of such files you have.
Now try to find... | https://github.com/huggingface/safetensors/issues/609 | closed | [] | 2025-05-26T20:06:13Z | 2025-06-16T12:13:08Z | 2 | schoenid |
huggingface/open-r1 | 660 | How to control the number of responses per query for each benchmark? | Hi, thank you for the great work!
In the README, I noticed that you mention the use of different numbers of responses per query for estimating pass@1 across benchmarks. For example:
Benchmark | Number of responses per query
-- | --
AIME 2024 | 64
MATH-500 | 4
GPQA Diamond | 8
LiveCodeBench | 16
However, I'm unable to... | https://github.com/huggingface/open-r1/issues/660 | open | [] | 2025-05-26T14:38:15Z | 2025-05-27T15:32:50Z | null | Zoeyyao27 |
huggingface/transformers | 38,377 | Why are the model classes in unit tests imported directly from the transformer package instead of directly importing the model classes in the file? Is there any special consideration? | ### 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... | https://github.com/huggingface/transformers/issues/38377 | open | [
"Feature request"
] | 2025-05-26T11:41:19Z | 2025-05-26T11:41:19Z | 0 | ENg-122 |
huggingface/transformers | 38,375 | Unable to run run_instance_segmentation_no_trainer with HF Accelerate | ### System Info
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... | https://github.com/huggingface/transformers/issues/38375 | closed | [
"bug"
] | 2025-05-26T10:23:04Z | 2025-07-05T08:03:07Z | 3 | gohjiayi |
huggingface/huggingface_hub | 3,117 | how to download huggingface model files organize the http header and so on in other language | Hi,
I want to use another language like java or scala to download huggging face model and config.json. but meet connnect error , it is not make sense . so I want to know does huggingface have some more setting to download file ?
````
package torch.tr
import java.io.FileOutputStream
import java.ne... | https://github.com/huggingface/huggingface_hub/issues/3117 | open | [] | 2025-05-26T10:00:25Z | 2025-06-15T14:55:48Z | null | mullerhai |
huggingface/agents-course | 510 | anyone can run unit 1 dumm agent notebook???? | <img width="1226" alt="Image" src="https://github.com/user-attachments/assets/1813be3d-0d73-478e-86fa-11304e796614" /> | https://github.com/huggingface/agents-course/issues/510 | closed | [
"question"
] | 2025-05-25T03:00:04Z | 2025-06-25T09:03:52Z | null | chaoshun2025 |
huggingface/transformers | 38,346 | Why is return_assistant_tokens_mask and continue_final_message incompatible? | I'm currently authoring a new chat template, and while debugging encountered the check for this, however when uncommenting the check, the resulting mask and template both seem to still be correct. So I'm curious as to why or whether this check is needed at all?
I can see it was introduced in [the original PR](https://... | https://github.com/huggingface/transformers/issues/38346 | closed | [] | 2025-05-24T23:44:13Z | 2025-07-02T08:03:11Z | 2 | nyxkrage |
huggingface/candle | 2,967 | Logit Discrepancy Between Candle and PyTorch When Using XLM-RoBERTa Model | When running the same XLM-RoBERTa model (`s-nlp/xlmr_formality_classifier` - [HF](https://huggingface.co/s-nlp/xlmr_formality_classifier) ) in both Candle and PyTorch, I'm observing significant differences in the logits produced by the model's classification head for identical inputs. Is this expected behavior? See [th... | https://github.com/huggingface/candle/issues/2967 | closed | [] | 2025-05-24T17:24:33Z | 2025-05-26T10:45:24Z | 2 | jpe90 |
huggingface/diffusers | 11,607 | with a custom attention processor for Flux.dev, inference time changes when manually load and inject the transformer model into a flux pipeline versus let the flux pipeline constructor load the transformer internally. | With a custom attention processor for Flux.dev transformer, the inference time is different between the following two ways:
1. Manually load and inject the transformer into a flux.dev pipeline
2. Let the pipeline constructor load the transformer internally
The inference time of the first way is about 15% slower than... | https://github.com/huggingface/diffusers/issues/11607 | closed | [] | 2025-05-24T06:42:11Z | 2025-05-26T01:27:00Z | 1 | LinchuanXuTheSEAAI |
huggingface/transformers | 38,326 | Allow `MllamaModel` to accept `pixel_values` and `inputs_embeds` | ### Feature request
`MllamaModel` does not allow users to pass `pixel_values` and `inputs_embeds` simultaneously:
https://github.com/huggingface/transformers/blob/54cd86708d2b63a1f696ee1c59384a2f04100f57/src/transformers/models/mllama/modeling_mllama.py#L1702-L1705
However, commenting out those lines and running the ... | https://github.com/huggingface/transformers/issues/38326 | closed | [
"Feature request"
] | 2025-05-23T15:26:28Z | 2025-05-27T16:33:57Z | 1 | dxoigmn |
huggingface/transformers | 38,323 | `PYTHONOPTIMIZE=2` seems not work with `transformers-`based library | ### System Info
I am currently having the latest package install.
torch 2.6.0+cu124
transformers 4.51.3
sentence-transformers 4.1.0
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folde... | https://github.com/huggingface/transformers/issues/38323 | closed | [
"bug"
] | 2025-05-23T14:24:34Z | 2025-05-26T14:29:17Z | 1 | IchiruTake |
huggingface/candle | 2,965 | Are there any support for complex number? | Are there any support for complex number? | https://github.com/huggingface/candle/issues/2965 | closed | [] | 2025-05-23T09:33:47Z | 2025-11-23T22:16:54Z | 1 | hndrbrm |
huggingface/accelerate | 3,586 | Where is PartialState._shared_state initialized? | Hi! When I step through the code line by line, before this line ([entering into `__init__` of `AcceleratorState`](https://github.com/huggingface/accelerate/blob/v0.34.2/src/accelerate/state.py#L856 )) , `PartialState._shared_state`returns
```
{}
```
But after entering into `__init__` of `AcceleratorState`, `PartialStat... | https://github.com/huggingface/accelerate/issues/3586 | closed | [] | 2025-05-23T08:17:44Z | 2025-06-30T15:08:15Z | null | SonicZun |
huggingface/transformers | 38,300 | Will Gemma 3n be added to transformers? | ### Model description
Question: Are there plans from Google or Huggingface to implement Gemma 3n in other frameworks?
I've seen the LiteRT weights and Android App Link on Huggingface, and was wandering if it would be possible to convert the model architecture in the *.task file to a transformer pytorch Module?
Perso... | https://github.com/huggingface/transformers/issues/38300 | closed | [
"New model"
] | 2025-05-22T15:26:20Z | 2025-06-30T07:07:53Z | 4 | TheMrCodes |
huggingface/transformers | 38,281 | KeyError in Llama-4-Maverick-17B-128E-Instruct-FP8 Inference with Offloading | ### Issue Description
Loading `meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8` succeeds with `transformers==4.51.0`, but inference fails with `KeyError: 'model.layers.37.feed_forward.experts.gate_up_proj'` during `model.generate`. This occurs on 4x NVIDIA RTX A6000 (~196GB VRAM, CUDA 12.4, Python 3.12.3, Ubuntu 24.0... | https://github.com/huggingface/transformers/issues/38281 | closed | [] | 2025-05-22T05:45:30Z | 2025-07-27T08:03:11Z | 4 | pchu2025 |
huggingface/transformers | 38,268 | Group beam search with sampling? | ### Feature request
In the current generation code, group beam search is necessarily greedy. From a theoretical point of view, it is not very clear why that should be the case, since the diversity penalty is applied on the logits anyway, yielding a full distribution from which sampling can still be performed.
### Mot... | https://github.com/huggingface/transformers/issues/38268 | open | [
"Feature request"
] | 2025-05-21T18:08:59Z | 2025-06-06T18:11:13Z | 4 | adrian-valente |
huggingface/candle | 2,961 | Shape Mismatch in MatMul During Forward Pass of ModernBertForSequenceClassification | ModernBertForSequenceClassification model (hidden size = 768, sequence length = 128) to categorize text into one of classes. During the initial training epoch, however, the forward pass fails with a “shape mismatch in matmul” error.
Is there any way to solve this?
#Error log
Tokenized shape: [4, 128]
Attention mask ... | https://github.com/huggingface/candle/issues/2961 | closed | [] | 2025-05-21T14:25:07Z | 2025-06-08T12:11:46Z | 2 | whitebox2 |
huggingface/transformers | 38,243 | <spam> | We are looking for an experienced Machine Learning Engineer for a BTC/USDT prediction project using CNN, LSTM, and Transformers. The goal is to forecast cryptocurrency price movements with a target accuracy of 90%+.
More details here:[ ](https://gist.github.com/DandBman/c76a548b1972da50ffe6bbdd93fdd613) | https://github.com/huggingface/transformers/issues/38243 | closed | [] | 2025-05-20T22:14:11Z | 2025-05-21T13:14:41Z | 0 | DandBman |
huggingface/diffusers | 11,590 | Infinite (not literally) length video creation using LTX-Video? | First of all thanks to Aryan (0.9.7 integration) and DN6 (adding GGUF). Model is quite good and output is also promising.
I need help in creating continuous video using the last frame. 1 trick is to generate the video, extract the last frame and do inference. Is there any easy way where I can do this in loop.
My thou... | https://github.com/huggingface/diffusers/issues/11590 | closed | [] | 2025-05-20T13:37:36Z | 2025-05-20T19:51:20Z | 1 | nitinmukesh |
huggingface/agents-course | 501 | [BUG] Notebook on HF Hub is not updated | "Workflows in LlamaIndex" [course page](https://huggingface.co/learn/agents-course/unit2/llama-index/workflows#creating-workflows) is referring notebook on [HF Hub](https://huggingface.co/agents-course/notebooks/blob/main/unit2/llama-index/workflows.ipynb), which is not the updated version from [GitHub](https://github.... | https://github.com/huggingface/agents-course/issues/501 | closed | [
"question"
] | 2025-05-20T06:45:26Z | 2025-05-29T05:28:46Z | null | karenwky |
huggingface/open-r1 | 649 | how to evaluate use local models and datasets? | I change the readme eval command like following:
**MODEL=./deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
MODEL_ARGS="pretrained=$MODEL,dtype=bfloat16,max_model_length=32768,gpu_memory_utilization=0.8,generation_parameters={max_new_tokens:32768,temperature:0.6,top_p:0.95}"
OUTPUT_DIR=./data/evals/
# AIME 2024
TASK=aime24... | https://github.com/huggingface/open-r1/issues/649 | open | [] | 2025-05-20T05:57:29Z | 2025-05-20T05:57:29Z | null | SiqingHe |
huggingface/lerobot | 1,130 | Drive mode reversed on calibration. | I had an issue where after calibrating drive_mode was reversed for one of my motors (0 vs. 1) as a result, moving the leader in one direction caused the follower to go the opposite direction.
Saw some suggestions that moving it through the full range of motion resolved this but I wasn't able to get that to work. I cou... | https://github.com/huggingface/lerobot/issues/1130 | open | [
"bug",
"question",
"robots"
] | 2025-05-20T03:08:06Z | 2025-07-16T06:50:20Z | null | brainwavecoder9 |
huggingface/text-generation-inference | 3,233 | Docker image For llama cpp backend? | Hey,
Is there any reason in particular why docker images for the llama-cpp backend do not get built along with new versions? It seems the backend has been ready for a while so just curious why images don't get built as part of the build pipeline
cc @mfuntowicz | https://github.com/huggingface/text-generation-inference/issues/3233 | open | [] | 2025-05-20T02:07:46Z | 2025-05-20T02:07:46Z | 0 | vrdn-23 |
huggingface/diffusers | 11,580 | Can diffusers support loading and running FLUX with fp8 ? | This is how I use diffusers to load flux model:
```
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained(
"/ckptstorage/repo/pretrained_weights/black-forest-labs/FLUX.1-dev",
torch_dtype=torch.float16,
)
device = torch.device(f"cuda:{device_number}" if torch.cuda.is_available() e... | https://github.com/huggingface/diffusers/issues/11580 | open | [] | 2025-05-19T12:18:13Z | 2025-12-12T19:30:33Z | 5 | EmmaThompson123 |
huggingface/lerobot | 1,124 | How to add force data to lerobot and models? | As title said, I use a force sensor on SO100 arm and want to record the data in lerobot dataset then train with the force data. How to do it?
force data looks like: a list: [x1, y1, z1, x2, y2, z2, x3, y3, z3, x4, y4, z4, x5, y5, z5] (15 d list)
Thanks! | https://github.com/huggingface/lerobot/issues/1124 | closed | [] | 2025-05-19T07:48:20Z | 2025-05-19T13:36:44Z | null | milong26 |
huggingface/diffusers | 11,575 | Hidream Model loading takes too long — any way to speed it up? | Hi, thanks for this great project.
I'm running Hidream with this library in a serverless environment and facing major delays during model loading. It can be very frustrating, especially for time-sensitive or ephemeral deployments.
I've tried everything I could think of to reduce the loading time, but nothing has work... | https://github.com/huggingface/diffusers/issues/11575 | open | [] | 2025-05-19T00:49:00Z | 2025-05-23T12:55:05Z | 6 | Me-verner |
huggingface/optimum | 2,275 | ONNX export for ColPali | Hi Optimum,
I have created a small tutorial how to export the ColPali late-interaction VLM in this [notebook](https://gist.github.com/kstavro/9bcdf930f0e69626dd5aa9aa5f09f867), but I think it shouldn't be too difficult to integrate it to Optimum as well.
However, as far as I have seen, there is not much support for l... | https://github.com/huggingface/optimum/issues/2275 | closed | [] | 2025-05-18T18:56:22Z | 2025-06-11T13:56:43Z | 2 | kstavro |
huggingface/transformers | 38,190 | Gibberish generations with FSDP2 and MixedPrecisionPolicy | ### System Info
```
transformers.__version__='4.51.2'
torch.__version__='2.6.0+cu124'
sys.version='3.10.17 (main, Apr 16 2025, 15:03:57) [GCC 12.1.1 20220628 (Red Hat 12.1.1-3)]'
```
### Who can help?
@SunMarc @zach-huggingface
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### T... | https://github.com/huggingface/transformers/issues/38190 | closed | [
"bug"
] | 2025-05-18T11:56:08Z | 2025-08-29T09:36:57Z | 17 | dlvp |
huggingface/transformers | 38,181 | Add a way for `callbacks` to get `trainer` handler | When I want to implement differential privacy for the model, I customize the gradient clipping before `optimizer.step()`. The add custom noise to the model after `optimizer.step()`. I cannot get `Trainer.optimizer` in the `callback` function, it shows as `None`. Is it possible to get the reference of `Trainer` directly... | https://github.com/huggingface/transformers/issues/38181 | closed | [] | 2025-05-16T16:01:35Z | 2025-05-19T12:17:06Z | 1 | MinzhiYoyo |
huggingface/open-r1 | 645 | How to set vllm max-model-len? | I use qwen2.5-7b-Instruct to run grpo, and open yarn, to accommodate a longer window(greater than 32768). But fowllowing error exists:
... | https://github.com/huggingface/open-r1/issues/645 | closed | [] | 2025-05-16T03:28:50Z | 2025-06-12T08:45:15Z | null | huyongquan |
huggingface/transformers | 38,165 | Gemma 3 Pipeline does not accept dictionary with no images | ### System Info
System info not really relevant as the bug is root caused in my description below.
- `transformers` version: 4.51.3
- Platform: Windows-10-10.0.26100-SP0
- Python version: 3.11.9
- Huggingface_hub version: 0.31.2
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not foun... | https://github.com/huggingface/transformers/issues/38165 | closed | [
"bug"
] | 2025-05-16T01:34:15Z | 2025-06-23T08:03:03Z | 6 | sheldonlai |
huggingface/lerobot | 1,114 | How to collect data and train the policy from Lerobot totally out of the leader arm only by learning from demonstration using the main arm such as XARM or UR series | https://github.com/huggingface/lerobot/issues/1114 | closed | [
"question",
"robots",
"stale"
] | 2025-05-15T15:31:13Z | 2025-12-31T02:35:25Z | null | David-Kingsman | |
huggingface/transformers | 38,147 | How to check the number of tokens processed or the load of each expert in the Qwen3 MoE model during inference? | https://github.com/huggingface/transformers/issues/38147 | closed | [] | 2025-05-15T09:21:29Z | 2025-05-15T13:36:53Z | null | wumaotegan |
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