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 | 1,188 | It seems like Xenova/swin2SR-classical-sr-x2-64 model only work with image url?How to implement partial output with it? | ### Question
I have fun with react demo and Xenova/swin2SR-classical-sr-x2-64 model.
https://huggingface.co/Xenova/swin2SR-classical-sr-x2-64
I tried to give object URL to upscaler function but it doesn't work, I wonder if it only accepts image url.
Also I want to know how to do partial output like the translate react... | https://github.com/huggingface/transformers.js/issues/1188 | open | [
"question"
] | 2025-02-10T02:18:32Z | 2025-02-16T00:50:36Z | null | codenoobforreal |
huggingface/transformers.js | 1,186 | Which undocumented transformersJS Generator parameters are supported? crapCheck ran fine. | ### Question
Sorry to bug you again Josh @xenova I was trying a set of generator parameters and things were working fine without errors so I tried the parameter "crapCheck" and it also ran without errors so now I am worried if anything works. In the docs it seems that these are supported:
Supported Parameters ... | https://github.com/huggingface/transformers.js/issues/1186 | open | [
"question"
] | 2025-02-09T05:35:57Z | 2025-02-09T05:35:57Z | null | hpssjellis |
huggingface/lighteval | 545 | couldn't find it in the cached files and it looks like Elron/bleurt-tiny-512, how to set the model path? | How to set the eval model path?
## Eval
when I use the script to eval model with MATH-500
`NUM_GPUS=8 # Set to 8 for 32B and 70B models
MODEL=Deepseek_R1_distill/Qwen2.5-32B-Open-R1-Distill/
MODEL_ARGS="pretrained=$MODEL,dtype=bfloat16,max_model_length=32768,gpu_memory_utilisation=0.8,tensor_parallel_size=$NUM_GPUS"
... | https://github.com/huggingface/lighteval/issues/545 | closed | [] | 2025-02-08T07:26:28Z | 2025-05-15T15:27:30Z | null | bannima |
huggingface/open-r1 | 240 | How to do knowledge distillation training | In the deepseek r1 technical report, there is a small model based on distillation at the end; deepseek r1, as the teacher model, qwen and llama, as the student model, do SFT based on distilled data. However, it seems that the process of knowledge distillation is not involved here(open r1), that is, the process of the ... | https://github.com/huggingface/open-r1/issues/240 | open | [] | 2025-02-08T06:50:20Z | 2025-02-27T08:16:02Z | null | RyanOvO |
huggingface/transformers.js-examples | 42 | How to stop the transformerJS webGPU models when they chat for too long. | @xenova Hi Josh.
I am making several very capable TransformerJS single page applications and I really like what they are doing. My demo index page is [here](https://hpssjellis.github.io/my-examples-of-transformersJS/public/index.html), but I can't seem to stop any of my examples if they are taking too long and then b... | https://github.com/huggingface/transformers.js-examples/issues/42 | closed | [] | 2025-02-08T04:38:51Z | 2025-02-08T22:05:23Z | null | hpssjellis |
huggingface/lerobot | 692 | How to evaluate policy on real robot and sim environment | I am working on evaluating a trained policy on a real robot and in a simulated environment (Isaac Gym). However, I am uncertain about the process and communication mechanisms involved.
My questions are:
- Evaluating on a real robot:
> How do I retrieve real-time observations from the real robot with Lerobot?
- Eval... | https://github.com/huggingface/lerobot/issues/692 | closed | [
"question",
"simulation"
] | 2025-02-07T13:40:27Z | 2025-10-17T11:20:29Z | null | ShiyaoExtendQA |
huggingface/diffusers | 10,743 | Support zero-3 for FLUX training | ### Describe the bug
Due to memory limitations, I am attempting to use Zero-3 for Flux training on 8 GPUs with 32GB each. I encountered a bug similar to the one reported in this issue: https://github.com/huggingface/diffusers/issues/1865. I made modifications based on the solution proposed in this pull request: https:... | https://github.com/huggingface/diffusers/issues/10743 | closed | [
"bug"
] | 2025-02-07T12:50:44Z | 2025-10-27T09:33:59Z | 9 | xiaoyewww |
huggingface/alignment-handbook | 210 | Problem with multi-epoch training | Hi, I run the orpo code with 1 epoch and there was no issue. But when I tried to run the code with 5 epochs, I had the following error just at the start of the second epoch:
```
RuntimeError: Tensors of the same index must be on the same device and the same dtype except `step` tensors that can be CPU and float32 notwi... | https://github.com/huggingface/alignment-handbook/issues/210 | open | [] | 2025-02-07T04:50:41Z | 2025-02-07T04:50:41Z | 0 | sowmaster |
huggingface/smolagents | 521 | authenticated sessions with smolagents (how to be logged in during browser use) | **Is your feature request related to a problem? Please describe.**
I would like smolagents to be able to use websites with my login credentials.
**Describe the solution you'd like**
Either a way to give Helium credentials, or a way to use my actual browser, like: https://github.com/browser-use/browser-use/blob/main/ex... | https://github.com/huggingface/smolagents/issues/521 | open | [
"enhancement"
] | 2025-02-06T15:51:53Z | 2025-02-06T15:51:53Z | null | rawwerks |
huggingface/open-r1 | 210 | How to push own dataset to hub with train and test dataset? | How do I push my own dataset to the hub along with the training and test datasets?
```python
train_distiset = pipeline.run(dataset=train_dataset)
test_distiset = pipeline.run(dataset=test_dataset)
```
There is a problem with the code above. | https://github.com/huggingface/open-r1/issues/210 | closed | [] | 2025-02-06T15:28:15Z | 2025-02-08T05:59:13Z | null | JACKYLUO1991 |
huggingface/peft | 2,364 | docs: broken links to boft | ### System Info
on page: https://huggingface.co/docs/peft/v0.14.0/en/conceptual_guides/oft
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder
- [ ] My own task or dataset (give d... | https://github.com/huggingface/peft/issues/2364 | closed | [] | 2025-02-06T14:48:16Z | 2025-02-07T10:14:44Z | 1 | makelinux |
huggingface/open-r1 | 207 | DeepSeek RL-Zero: How to clone DeepSeek RL-Zero? | How to clone DeepSeek RL-Zero? | https://github.com/huggingface/open-r1/issues/207 | open | [] | 2025-02-06T13:45:33Z | 2025-02-06T13:45:33Z | null | win10ogod |
huggingface/smolagents | 501 | How to run open_deep_research？ | How to run open_deep_research？ | https://github.com/huggingface/smolagents/issues/501 | closed | [
"bug"
] | 2025-02-05T13:35:52Z | 2025-03-19T07:28:22Z | null | win4r |
huggingface/trl | 2,768 | How to log more metrics with wandb when using GRPO trainer and accelerate | ### Reproduction
```python
def correctness_reward_func(prompts, completions, answer, **kwargs) -> list[float]:
responses = [completion[0]["content"] for completion in completions]
q = prompts[0][-1]["content"]
extracted_responses = [extract_xml_answer(r) for r in responses]
# Get current step from tr... | https://github.com/huggingface/trl/issues/2768 | open | [
"✨ enhancement",
"⚡accelerate",
"🏋 GRPO"
] | 2025-02-05T03:59:10Z | 2025-02-05T03:59:54Z | null | andrewsiah |
huggingface/open-r1 | 183 | How to directly input embeddings into the model? | My data are embeddings of the tokens (i.e., already after tokenization), is there a way of directly inputting the embeddings into the DeepSeek open-r1 model?
For example, when I use the BERT model via Hugging Face, I can simply input the embeddings using the "inputs_embeds" parameter:
```
from transformers import Ber... | https://github.com/huggingface/open-r1/issues/183 | open | [] | 2025-02-04T21:10:13Z | 2025-02-04T21:10:13Z | null | CCCC1800 |
huggingface/open-r1 | 180 | How to launch GRPO with vLLM on multi-node slurm? | How to write sbatch script to run GRPO with vLLM on multiple nodes? What should be `--num_processes`? Is [GRPOTrainer](https://github.com/huggingface/trl/blob/1f344c9377d87cd348d92b78f27afea8e66563d7/trl/trainer/grpo_trainer.py#L288-L298) compatible with multinode training? | https://github.com/huggingface/open-r1/issues/180 | open | [] | 2025-02-04T16:58:50Z | 2025-03-14T15:55:18Z | null | pbelevich |
huggingface/lerobot | 678 | The inverse kinematic solution code of so-100 | Are there any code of inverse kinematic of so-100, which just need the input of the x, y on my desk, then it can move to the target
coordinate？
Thanks for any response. | https://github.com/huggingface/lerobot/issues/678 | open | [
"question",
"robots"
] | 2025-02-04T03:58:17Z | 2025-10-15T16:55:01Z | null | gxy-1111 |
huggingface/diffusers | 10,710 | Is DDUF format supported? | I checked this PR, https://github.com/huggingface/diffusers/pull/10037 and it is merged
```
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained(
"DDUF/FLUX.1-dev-DDUF", dduf_file="FLUX.1-dev.dduf", torch_dtype=torch.bfloat16
)
image = pipe(
"photo a cat holding a sig... | https://github.com/huggingface/diffusers/issues/10710 | closed | [] | 2025-02-03T17:42:37Z | 2025-02-23T17:56:26Z | 4 | nitinmukesh |
huggingface/trl | 2,754 | How to do multi-node training for GRPO with DeepSpeed + vLLM? | ### Multi-Node Request
I am interested in doing multi-node (4 x 8 GPUs) reinforcement fine-tuning of 8B (or 14B) models using GRPO. However, given that at least 1 GPU needs to be assigned to vLLM, I am not sure how to exactly run multi-node setup? Would it be possible for you to share a simple set of scripts (config ... | https://github.com/huggingface/trl/issues/2754 | closed | [
"🚀 deepspeed",
"🏋 GRPO"
] | 2025-02-03T16:03:23Z | 2025-03-22T12:51:19Z | null | nikhilchandak |
huggingface/lerobot | 673 | configure_motor.py says it's increasing the max acceleration of feetech motors, but is decreasing it | I built my SO ARM 100s before reading the huggingface instructions, so I am trying to retroactively setup the servos properly. I looked into configure_motor.py to see what it was doing so I could configure it manually, and I notice that for Feetech motors it sets Maximum_Acceleration to 254 to " speedup acceleration a... | https://github.com/huggingface/lerobot/issues/673 | closed | [
"question",
"robots"
] | 2025-02-01T18:46:30Z | 2025-04-07T15:52:20Z | null | jbrownkramer |
huggingface/lerobot | 672 | Limited Range of Motion in 'Elbow Flex' Motor on SO-100 Follower Arm | # Issue: Limited Range of Motion in 'Elbow Flex' Motor on SO-100 Follower Arm
## Description
In my build of the SO-100 arm, the follower arm exhibits an issue where the motor labeled **'elbow flex'** is restricted to a movement range of approximately **90 degrees from the rest position**.
## Steps Taken to Troublesho... | https://github.com/huggingface/lerobot/issues/672 | closed | [
"question",
"robots",
"stale"
] | 2025-02-01T15:01:59Z | 2025-10-20T02:31:48Z | null | ParzivalExtrimis |
huggingface/sentence-transformers | 3,207 | How to increase batch size by using multiple gpus? | Hello! My fine-tuned model need a large batch size to get the best performance. I have multiple gpus with 40G VRAM each. How can i use them together to enlarge the batch size? Currently i can only set the batch size be 3 per GPU and seems they won't share the datas. How can i make the total batch size become 24? | https://github.com/huggingface/sentence-transformers/issues/3207 | open | [] | 2025-01-31T18:00:08Z | 2025-02-19T10:36:28Z | null | 13918763630 |
huggingface/optimum | 2,174 | Support for ONNX export of SeamlessM4TModel | ### Feature request
Add SeamlessM4Tv2 Model support to onnx_export_from_model.
### Motivation
Being able to deploy SeamlessM4Tv2 models to production using onnx.
### Your contribution
I got the speech-to-text model to ONNX, but I'm not able to generate the audio as expected, even though I'm trying to give the tgt... | https://github.com/huggingface/optimum/issues/2174 | closed | [
"Stale"
] | 2025-01-30T15:10:31Z | 2025-03-18T02:07:02Z | 3 | AlArgente |
huggingface/diffusers | 10,683 | Would anyone consider a diffusers export_to_frames utility fuction? | **Is your feature request related to a problem? Please describe.**
The current `export_to_video` function in Hugging Face's Diffusers library exports a compressed video, but it's not straightforward for users to obtain raw, lossless PNG frames from a list of frames. This can be a problem for users who need to work with... | https://github.com/huggingface/diffusers/issues/10683 | open | [
"stale"
] | 2025-01-29T17:30:21Z | 2025-03-26T15:04:10Z | 4 | lovetillion |
huggingface/transformers.js | 1,174 | How to create a new onnx TTS model like mms-tts-eng | ### Question
First of all, congratulations on such a great library!
I would like to ask for your guidance and assistance in creating a new onnx model similar to the following one:
https://huggingface.co/Xenova/mms-tts-eng/tree/main
…but for the Malagasy language:
https://huggingface.co/facebook/mms-tts-mlg ... | https://github.com/huggingface/transformers.js/issues/1174 | closed | [
"question"
] | 2025-01-29T16:02:13Z | 2025-02-05T12:48:57Z | null | elloza |
huggingface/open-r1 | 113 | What is the GPU resource required to run Open-R1 (Deepseek-R1) locally? | I am trying to run it using Ollama with Open WebUI in a docker container, does it required a dedicated GPU with high VRAM or an integrated GPU?
Which model (8 billion, 9 billion, 12 billion) can be required with each GPU VRAM? | https://github.com/huggingface/open-r1/issues/113 | open | [] | 2025-01-29T14:08:47Z | 2025-01-29T21:17:17Z | null | ruidazeng |
huggingface/open-r1 | 100 | What is the compute needed for GRPO for 7B R1-Distill model? | Anybody who has tried GRPO over any of the R1-Distill models: what is the minimum GPU compute requirement to run the training?
Let's say for R1-Distill-Qwen-7B ?
I am talking about this from the README:
### GRPO
```
accelerate launch --config_file configs/zero3.yaml src/open_r1/grpo.py \
--output_dir DeepSeek-R1-... | https://github.com/huggingface/open-r1/issues/100 | open | [] | 2025-01-29T03:01:03Z | 2025-02-10T09:17:47Z | null | iamansinha |
huggingface/diffusers | 10,677 | Support for training with Grayscale images? | I am trying to train an unconditional diffusion model on grayscale images using your [pipeline](https://huggingface.co/docs/diffusers/training/unconditional_training). When running training with the default parameters I discovered inferred images that contained colour (specifically green). Where it learnt such colours ... | https://github.com/huggingface/diffusers/issues/10677 | open | [
"stale"
] | 2025-01-28T22:25:19Z | 2025-02-28T15:02:57Z | 1 | DavidGill159 |
huggingface/diffusers | 10,675 | Difference in Flux scheduler configuration max_shift | ### Describe the bug
Could you please check if the value of 1.16 here...
https://github.com/huggingface/diffusers/blob/658e24e86c4c52ee14244ab7a7113f5bf353186e/src/diffusers/pipelines/flux/pipeline_flux.py#L78
...is intentional or maybe a typo?
`max_shift` is 1.15 both in the model configuration...
https://huggingfa... | https://github.com/huggingface/diffusers/issues/10675 | closed | [
"bug",
"good first issue",
"help wanted",
"contributions-welcome"
] | 2025-01-28T20:35:58Z | 2025-02-18T06:54:58Z | 2 | dxqb |
huggingface/transformers.js | 1,171 | Does the image generation model support using LoRA? | ### Question
I would like to implement an image generation feature to my website using a image generation model and a LoRA. Is LoRA supported in transformers.js? | https://github.com/huggingface/transformers.js/issues/1171 | open | [
"question"
] | 2025-01-28T19:48:38Z | 2025-02-11T23:11:27Z | null | hunkim98 |
huggingface/diffusers | 10,672 | Please support callback_on_step_end for following pipelines | **Is your feature request related to a problem? Please describe.**
Missing callback_on_step_end in these pipeline takes away the capability to show the progress in UI
**Describe the solution you'd like.**
Please support callback_on_step_end
**Describe alternatives you've considered.**
N.A.
**Additional context.**
1.... | https://github.com/huggingface/diffusers/issues/10672 | closed | [
"good first issue",
"help wanted",
"contributions-welcome"
] | 2025-01-28T16:26:56Z | 2025-02-16T17:28:58Z | 2 | nitinmukesh |
huggingface/transformers.js | 1,170 | Processing in image encoding for Florence 2 | ### Question
Hi,
while having a look at the code for generation with the Florence 2 model, I've noticed something weird. The original code for inference uses the [_encode_image](https://huggingface.co/microsoft/Florence-2-base-ft/blob/main/modeling_florence2.py#L2599) method for creating image features. However, look... | https://github.com/huggingface/transformers.js/issues/1170 | closed | [
"question"
] | 2025-01-27T16:13:28Z | 2025-03-02T14:37:52Z | null | ir2718 |
huggingface/text-generation-inference | 2,956 | How to give custom model code for TGI to run. | Is there a way to give custom model inference code for TGI to run during invocation? | https://github.com/huggingface/text-generation-inference/issues/2956 | open | [] | 2025-01-27T10:37:55Z | 2025-01-27T10:37:55Z | null | ashwani-bhat |
huggingface/diffusers | 10,662 | Feature Request: Image-to-Image Fine-Tuning Example | Hello, and thank you for maintaining this amazing repository!
While working with the Diffusers library, I noticed there is a folder containing fine-tuning examples for text-to-image models but not for image-to-image fine-tuning.
Since image-to-image models have many use cases (e.g., style transfer, image restoration, ... | https://github.com/huggingface/diffusers/issues/10662 | closed | [] | 2025-01-27T08:33:39Z | 2025-02-07T08:27:44Z | 6 | YanivDorGalron |
huggingface/finetrainers | 248 | How to load full finetune for inference? | ### Feature request / 功能建议
### Motivation / 动机
It seems like only lora inference example in README.MD
### Your contribution / 您的贡献
test the full finetune(LTX-VIDEO,Cogxvideo) | https://github.com/huggingface/finetrainers/issues/248 | closed | [] | 2025-01-27T03:49:57Z | 2025-01-27T06:27:18Z | null | BlackTea-c |
huggingface/Google-Cloud-Containers | 143 | Route to /generate and /metrics | Hello team, thanks for supporting :)
Inside https://github.com/huggingface/text-generation-inference/blob/main/router/src/server.rs file,
there is a route for google cloud definition as below.
#[cfg(feature = "google")]
{
tracing::info!("Built with `google` feature");
tracing::info!(
... | https://github.com/huggingface/Google-Cloud-Containers/issues/143 | closed | [
"question"
] | 2025-01-27T02:02:28Z | 2025-01-31T11:44:05Z | null | jk1333 |
huggingface/optimum | 2,171 | Adding Phi3 support in BetterTransformer (to use the microsoft/phi-4 model) | ### Feature request
Hello,
Is it possible to add the phi3 architecture to BetterTransformer supported models?
### Motivation
Nan
### Your contribution
Nan | https://github.com/huggingface/optimum/issues/2171 | closed | [
"Stale"
] | 2025-01-26T19:10:34Z | 2025-03-04T02:05:22Z | 2 | majdabd |
huggingface/transformers.js | 1,167 | How to create and use a customized voice in a tts pipeline? | ### Question
Hi transformers.js community!
I am new here and I’d like to ask how to create a new voice and use it inside the current tts pipeline? I just create a next.js project and I can run the text-to-speech model in the tutorial, like following code,
```
const synthesizer = await pipeline('text-to-speech', 'Xeno... | https://github.com/huggingface/transformers.js/issues/1167 | open | [
"question"
] | 2025-01-26T17:44:57Z | 2025-02-11T02:55:40Z | null | gonggqing |
huggingface/open-r1 | 56 | How to supervise non-math data? | I see the accuracy reward only can check the numerical equal? But what if my question is MCQ and asking an option?
I did a quick check and find it's not working.
```
from math_verify import parse, verify
# Parse the gold and answer
# If you know that gold will only contain latex or expr (no latex env), use
# parse(... | https://github.com/huggingface/open-r1/issues/56 | open | [] | 2025-01-26T14:30:13Z | 2025-01-26T17:52:58Z | null | Luodian |
huggingface/diffusers | 10,655 | How to use custon dataset in train_dreambooth_flux.py. | Hi. what if i want to train two images with two different prompts. somethink like m1.jpeg , m1.txt ; m2.jpeg, m2.txt.
the default example only shows all images share one instant prompt. thanks for the help! | https://github.com/huggingface/diffusers/issues/10655 | closed | [] | 2025-01-26T11:53:01Z | 2025-01-27T19:43:55Z | null | rooooc |
huggingface/open-r1 | 46 | how to train on MultiNode MultiGPU | https://github.com/huggingface/open-r1/issues/46 | open | [] | 2025-01-26T04:57:11Z | 2025-02-19T14:00:44Z | null | yuepengs | |
huggingface/transformers.js | 1,166 | Why isn't transformers using filesystem API instead of Cache API? | ### Question
I find the cache API quite limiting when it comes to user experience. I am curious why transformers.js is not utilizing filesystem API. Is there any practical difficulty in it?
| https://github.com/huggingface/transformers.js/issues/1166 | open | [
"question"
] | 2025-01-25T14:12:38Z | 2025-02-08T12:09:16Z | null | Nithur-M |
huggingface/open-r1 | 23 | How to contribute | Hello there 👋!
Replicating all parts of DeepSeek's R1 pipeline is going to take a community effort, especially with dataset curation and creation. If you would like to contribute, please explore the issues linked below. | https://github.com/huggingface/open-r1/issues/23 | open | [] | 2025-01-25T13:55:31Z | 2025-05-06T13:32:10Z | null | lewtun |
huggingface/trl | 2,642 | How to stop `SFTTrainer` from auto tokenizing my messages ? | I want to tokenize my text in a custom way in a custom data collator but for some reason i don't know the data keeps being auto tokenized.
I passed `processing_class=None` to stop this but nothing changed, how can i stop the auto tokenization process ? | https://github.com/huggingface/trl/issues/2642 | closed | [
"❓ question",
"🏋 SFT"
] | 2025-01-24T02:58:26Z | 2025-02-18T18:59:42Z | null | MohamedAliRashad |
huggingface/diffusers | 10,637 | Issues with FlowMatchEulerDiscreteScheduler.set_timesteps() | ### Describe the bug
Why does `num_inference_steps` have the default `None`? It's not an `Optional`. It cannot be `None`. This leads to weird error messages if you skip this parameter.
https://github.com/huggingface/diffusers/blob/37c9697f5bb8c96b155d24d5e7382d5215677a8f/src/diffusers/schedulers/scheduling_flow_match_... | https://github.com/huggingface/diffusers/issues/10637 | closed | [
"bug"
] | 2025-01-23T20:22:51Z | 2025-02-16T15:29:08Z | 4 | dxqb |
huggingface/transformers.js | 1,165 | Releasing the Florence 2 ONNX conversion script? | ### Question
Hi,
This might not be the correct place to raise this issue, but I have not found a better option. There have been many requests of people trying to use their tuned Florence 2 models here and in other repos (https://github.com/huggingface/transformers.js/issues/815#issuecomment-2217220254, https://github... | https://github.com/huggingface/transformers.js/issues/1165 | closed | [
"question"
] | 2025-01-23T11:35:05Z | 2025-03-31T10:02:53Z | null | ir2718 |
huggingface/transformers | 35,853 | How to load a model directly into the GPU memory？ | I have enough GPU memory, but not enough CPU memory.When I use the
"from_pretrained" function, the program gets killed due to insufficient memory. | https://github.com/huggingface/transformers/issues/35853 | closed | [] | 2025-01-23T09:47:04Z | 2025-01-23T15:19:01Z | null | LiBai531 |
huggingface/nanotron | 273 | What is the purpose of "task" | What is the purpose of the "tasks" argument in this line?
https://github.com/huggingface/nanotron/blob/9055c664c28a3b430b4e53bfcb5a074068c90f2a/tools/preprocess_data.py#L102C9-L102C28
Thanks | https://github.com/huggingface/nanotron/issues/273 | open | [] | 2025-01-23T09:44:35Z | 2025-02-07T17:09:12Z | null | laiviet |
huggingface/transformers.js | 1,164 | `onnxruntime-node` uncompressed too large for NextJS 15 API routes | ### Question
Hello! I'm trying to deploy `xenova/bge-small-en-v1.5` locally to embed text in an Next 15 API route, but I'm encountering this error with the route's unzipped max size exceeding 250 MB. Wanted to check in to see if there's some error on my side? Doesn't seem like `onnxruntime-node` should be ~720 MB unco... | https://github.com/huggingface/transformers.js/issues/1164 | open | [
"question"
] | 2025-01-23T03:28:16Z | 2025-10-22T20:42:41Z | null | raymondhechen |
huggingface/smolagents | 322 | How to capture CodeAgent's full thinking including the code, not just the final response into a variable | When we run a CodeAgent in a notebook, it print the question/task, the LLM model used, code (Executing this code, Execution logs) and the Final answer.
The return value from agent.run contrains only the final response.
I'm working on some demos for which I wanted to run a number of tasks, capture all the output (no... | https://github.com/huggingface/smolagents/issues/322 | open | [] | 2025-01-23T02:50:34Z | 2025-01-23T13:17:49Z | null | KannamSridharKumar |
huggingface/smolagents | 312 | how to exec a bin and use the output as agent arg ? | hi
a simple exec tool as exec(path,[args]) should be in examples.
then an agent call as "use exec(/bin/ls,/bin)" put the result in sql db "(as bin-name) for later use and tell me how much of them are scripts while using sbx -z on each non-scripts"
as a short example | https://github.com/huggingface/smolagents/issues/312 | open | [] | 2025-01-22T12:55:22Z | 2025-01-22T12:55:22Z | null | malv-c |
huggingface/datatrove | 326 | How to choose the best timeout value in extractors? | Hi,
I do not know how to choose the best timeout threshold for running extractor. Shouldn't this threshold be hardware-aware? | https://github.com/huggingface/datatrove/issues/326 | open | [] | 2025-01-22T03:14:58Z | 2025-02-10T09:53:03Z | null | jordane95 |
huggingface/datasets | 7,377 | Support for sparse arrays with the Arrow Sparse Tensor format? | ### Feature request
AI in biology is becoming a big thing. One thing that would be a huge benefit to the field that Huggingface Datasets doesn't currently have is native support for **sparse arrays**.
Arrow has support for sparse tensors.
https://arrow.apache.org/docs/format/Other.html#sparse-tensor
It would be ... | https://github.com/huggingface/datasets/issues/7377 | open | [
"enhancement"
] | 2025-01-21T20:14:35Z | 2025-01-30T14:06:45Z | 1 | JulesGM |
huggingface/peft | 2,339 | Peft version upgrade from 0.4.0 to 0.14.0 results in "No module named \u0027peft.utils.config\u0027" error | ### System Info
Hello,
I'm migrating my sagemaker endpoint from the `huggingface-pytorch-inference:2.1.0-transformers4.37.0-gpu-py310-cu118-ubuntu20.04` image (which is being deprecated) to the `huggingface-pytorch-inference:2.3.0-transformers4.46.1-gpu-py311-cu121-ubuntu20.04-v1.0` image, which is supported.
This n... | https://github.com/huggingface/peft/issues/2339 | closed | [] | 2025-01-21T20:00:07Z | 2025-03-02T15:03:46Z | 2 | incchar |
huggingface/smolagents | 298 | How to pass images as input to CodeAgent? | Hello,
I want to pass an input image along with the prompt to `CodeAgent.run`. I see that there is an `additional_args` argument but when I pass the image as `{"image": "path/to/image.png"}`, the agent ends up loading the image via pytesseract to read the contents of the image instead of passing it to OpenAI/Anthropic... | https://github.com/huggingface/smolagents/issues/298 | closed | [] | 2025-01-21T17:14:27Z | 2025-02-18T18:41:27Z | null | DarshanDeshpande |
huggingface/lerobot | 650 | use a camera | can I use a camera to collect and train? | https://github.com/huggingface/lerobot/issues/650 | closed | [
"question"
] | 2025-01-21T10:35:02Z | 2025-04-07T15:53:26Z | null | lwx2024 |
huggingface/transformers | 35,807 | How to change data | ERROR: type should be string, got "\n\nhttps://huggingface.co/facebook/rag-token-nq\n\nfrom transformers import RagTokenizer, RagRetriever, RagTokenForGeneration\n\ntokenizer = RagTokenizer.from_pretrained(\"facebook/rag-token-nq\")\nretriever = RagRetriever.from_pretrained(\"facebook/rag-token-nq\", index_name=\"exact\", use_dummy_dataset=True)\nmodel = RagTokenForGeneration.from_pretrained(\"facebook/rag-token-nq\", retriever=retriever)\n\ninput_dict = tokenizer.prepare_seq2seq_batch(\"who holds the record in 100m freestyle\", return_tensors=\"pt\") \n\ngenerated = model.generate(input_ids=input_dict[\"input_ids\"]) \nprint(tokenizer.batch_decode(generated, skip_special_tokens=True)[0]) \n\n# should give michael phelps => sounds reasonable\n\n\n\nMy attempts\nhttps://github.com/kim90000/Attempts-with-facebook-rag-token-nq/blob/main/README.md" | https://github.com/huggingface/transformers/issues/35807 | closed | [] | 2025-01-21T06:17:09Z | 2025-02-28T08:03:38Z | null | kim90000 |
huggingface/accelerate | 3,356 | how to config accelerate on 2 mac machines | https://huggingface.co/docs/accelerate/usage_guides/distributed_inference
i use accelerate config and when i run model , it will block and then got an error. means , can not connect IP and port.
\
who can help me. | https://github.com/huggingface/accelerate/issues/3356 | closed | [] | 2025-01-20T11:35:35Z | 2025-02-25T02:20:41Z | null | hsoftxl |
huggingface/transformers.js | 1,160 | How to use sentence-transformers/static-similarity-mrl-multilingual-v1 model? | ### Question
If I try to use `sentence-transformers/static-similarity-mrl-multilingual-v1` it fails on `tokenizer.json` not found. Is it possible to somehow convert the model to use it ? ONNX runtime is already there. | https://github.com/huggingface/transformers.js/issues/1160 | open | [
"question"
] | 2025-01-19T15:09:18Z | 2025-01-19T17:27:49Z | null | michalkvasnicak |
huggingface/diffusers | 10,606 | pred_original_sample in FlowMatchEulerDiscreteScheduler | Will pred_original_sample be supported in FlowMatchEulerDiscreteScheduler? How to get predicted x_0? | https://github.com/huggingface/diffusers/issues/10606 | closed | [] | 2025-01-19T10:02:22Z | 2025-02-14T12:21:33Z | 2 | haofanwang |
huggingface/transformers.js | 1,157 | When using StyleTTS/Kokoro for text-to-speech conversion, how can I get the conversion progress? | ### Question
When using StyleTTS/Kokoro for text-to-speech conversion, how can I get the conversion progress?
```bash
npm i kokoro-js
```
```typescript
const model_id = "onnx-community/Kokoro-82M-ONNX";
const tts = await KokoroTTS.from_pretrained(model_id, {
dtype: "q8", // Options: "fp32", "fp16", "q8", "q4", "q4... | https://github.com/huggingface/transformers.js/issues/1157 | closed | [
"question"
] | 2025-01-18T03:36:28Z | 2025-10-13T04:46:59Z | null | emojiiii |
huggingface/transformers.js | 1,154 | Text generation pipeline memory spike | ### Question
## Description
Text generation pipeline has a memory spike at the starting point of every generation request from the instance and settle it down after few seconds. we tested this in lower vram and system memory environment it failed to generate anything because of this issue. also it generate nonsensical... | https://github.com/huggingface/transformers.js/issues/1154 | open | [
"question"
] | 2025-01-17T06:30:06Z | 2025-02-07T03:18:49Z | null | ashen007 |
huggingface/datasets | 7,372 | Inconsistent Behavior Between `load_dataset` and `load_from_disk` When Loading Sharded Datasets | ### Description
I encountered an inconsistency in behavior between `load_dataset` and `load_from_disk` when loading sharded datasets. Here is a minimal example to reproduce the issue:
#### Code 1: Using `load_dataset`
```python
from datasets import Dataset, load_dataset
# First save with max_shard_size=10
Dataset.fr... | https://github.com/huggingface/datasets/issues/7372 | open | [] | 2025-01-16T05:47:20Z | 2025-01-16T05:47:20Z | 0 | gaohongkui |
huggingface/safetensors | 561 | Feature Request: Support for Ellipsis (...) in Indexing | ### Feature request
Thank you very much for your effort in maintaining this great project!
I’m writing to request the addition of support for ellipsis (...) in `safetensor.safe_open` indexing functionality. This would enhance usability and align SafeTensor’s API more closely with the standard Python indexing conventi... | https://github.com/huggingface/safetensors/issues/561 | open | [] | 2025-01-14T05:13:54Z | 2025-01-14T05:13:54Z | 0 | csaybar |
huggingface/diffusers | 10,566 | Unnecessary operations in `CogVideoXTransformer3DModel.forward()`? | ### Describe the bug
Here are few rows of codes in `CogVideoXTransformer3DModel.forward()` :
```py
# 3. Transformer blocks
...
if not self.config.use_rotary_positional_embeddings:
# CogVideoX-2B
hidden_states = self.norm_final(hidden_states)
else:
# ... | https://github.com/huggingface/diffusers/issues/10566 | closed | [
"bug",
"stale"
] | 2025-01-14T04:01:20Z | 2025-02-13T22:11:26Z | 2 | townwish4git |
huggingface/diffusers | 10,565 | Different generation with `Diffusers` in I2V tasks for LTX-video | ### Describe the bug
Hello, I encountered an issue with the generation when attempting the I2V task using `Diffusers`. Is there any difference between the `diffusers` implementation and the `LTX-video-inference scripts` in the I2V task?
- The above is the result from the `inference.py`, and the following is the resu... | https://github.com/huggingface/diffusers/issues/10565 | open | [
"bug",
"stale"
] | 2025-01-14T03:24:06Z | 2025-09-09T07:21:31Z | 11 | Kaihui-Cheng |
huggingface/transformers.js | 1,146 | Why does the local models keep downloading everyday? | ### Question
Every day when I come back to chat with the local models via transformers.js it downloads the models again. Can't I persisted the downloaded model so that I can chat with them anytime instantly?
Thank you. | https://github.com/huggingface/transformers.js/issues/1146 | closed | [
"question"
] | 2025-01-14T02:56:34Z | 2025-01-18T15:11:09Z | null | Nithur-M |
huggingface/chat-ui | 1,646 | Inline audio/video in the output | If a model returns a markdown content with an image (``), the chat-ui will display the image inline.
Is there something similar for audio and video? How can a model return audio or video content to the user?
I don't know if this is currently supported or not.
(I'm using the OpenAI endpoint)
btw, ... | https://github.com/huggingface/chat-ui/issues/1646 | open | [
"enhancement"
] | 2025-01-14T01:20:54Z | 2025-02-28T11:32:48Z | 1 | laurentlb |
huggingface/lerobot | 633 | [Question] How to set training to a local dataset? | Is there a way to train on a local dataset without manually adding the `local_files_only` arg to the `make_dataset` function of the train script?
I have set the `LEROBOT_HOME` env variable. | https://github.com/huggingface/lerobot/issues/633 | closed | [
"question",
"dataset"
] | 2025-01-13T15:27:00Z | 2025-10-08T08:37:55Z | null | tlpss |
huggingface/lerobot | 630 | Removing episodes from LeRobotDataset | Hi, thanks for building this. It's great.
Is there a way to easily remove episodes from a dataset. I had a decent amount of diversity in my episodes, and wanted to reduce it, so I had to remove ~1/2 of the episodes. Rather than rerecording them, I wanted to remove specified episodes (lets say all even episodes). Is ... | https://github.com/huggingface/lerobot/issues/630 | closed | [
"question",
"dataset",
"stale"
] | 2025-01-13T01:22:32Z | 2025-10-17T12:07:56Z | null | andlyu |
huggingface/safetensors | 559 | serialize & deserialize does not work as the documentation specify. | ### System Info
- `transformers` version: 4.42.3
- Platform: Linux-6.8.0-51-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.25.2
- Safetensors version: 0.5.2
- Accelerate version: 0.27.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.3.1+cu121 (True)
- Tensorfl... | https://github.com/huggingface/safetensors/issues/559 | open | [] | 2025-01-12T20:22:57Z | 2025-01-12T20:23:18Z | 0 | csaybar |
huggingface/transformers.js | 1,142 | Make in-browser WebGPU as seamless as in WebLLM | ### Question
Hi there! 👋
I've noticed something interesting about WebGPU support in browsers:
✅ [WebLLM's demo](https://chat.webllm.ai/) detects and uses my GPU automatically
❌ [transformers.js examples](https://huggingface.co/spaces/Xenova/nanollava-1.5-webgpu) fail with:
```Error: no available backend found... | https://github.com/huggingface/transformers.js/issues/1142 | closed | [
"question"
] | 2025-01-12T15:06:17Z | 2025-01-27T11:45:03Z | null | Anna-iroro |
huggingface/peft | 2,322 | model merge and unload feature for AdaLora | ### Feature request
unlike Lora or IA3 adapter type, AdaLora does not provide a method to merge lora adapter weights into original weights so that it can be used as a standalone model. I made that feature for a personal usecase and want to make a PR to make this feature accessible to everyone.
### Motivation
This f... | https://github.com/huggingface/peft/issues/2322 | closed | [] | 2025-01-12T09:20:01Z | 2025-01-14T12:47:35Z | 6 | DaehanKim |
huggingface/sentence-transformers | 3,166 | How to report a security issue responsibly? | I have just found a potential security issue in the repo and want to know how I can report it to your team privately, thanks! | https://github.com/huggingface/sentence-transformers/issues/3166 | closed | [] | 2025-01-12T04:24:15Z | 2025-01-12T08:52:43Z | null | zpbrent |
huggingface/datasets | 7,365 | A parameter is specified but not used in datasets.arrow_dataset.Dataset.from_pandas() | ### Describe the bug
I am interested in creating train, test and eval splits from a pandas Dataframe, therefore I was looking at the possibilities I can follow. I noticed the split parameter and was hopeful to use it in order to generate the 3 at once, however, while trying to understand the code, i noticed that it ha... | https://github.com/huggingface/datasets/issues/7365 | open | [] | 2025-01-10T13:39:33Z | 2025-01-10T13:39:33Z | 0 | NourOM02 |
huggingface/peft | 2,319 | Import error , is it a version issue? | ### System Info
When I execute the finetune.py file, an error occurs as follows: cannot import name 'prepare_model_for_int8_training'.Is it a version issue? My version is 0.14.0.
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An of... | https://github.com/huggingface/peft/issues/2319 | closed | [] | 2025-01-10T02:34:52Z | 2025-01-13T10:13:18Z | 3 | zhangyangniubi |
huggingface/Google-Cloud-Containers | 138 | entrypoint.sh for TGI does not implemented requirements.txt installation process | Hello team,
Like this sample, https://github.com/huggingface/Google-Cloud-Containers/blob/main/containers/pytorch/inference/gpu/2.3.1/transformers/4.46.1/py311/entrypoint.sh
The entrypoint needs requirements.txt provisioning process.
But in this TGI sample does not contains these procedure.
https://github.com... | https://github.com/huggingface/Google-Cloud-Containers/issues/138 | closed | [
"question"
] | 2025-01-09T08:09:14Z | 2025-01-21T07:44:52Z | null | jk1333 |
huggingface/lerobot | 623 | Why different dimensionality state tensor with n_obs_steps vs not? | Curious about a design decision - why not have ACT with a [batch, n_obs_steps, state_dim] tensor but assert that n_obs_steps is length 1? Instead of [batch, state_dim]
Currently, we have to detect different dimensionality and handle when we're writing policy-agnostic code | https://github.com/huggingface/lerobot/issues/623 | closed | [
"question",
"policies",
"stale"
] | 2025-01-08T18:16:51Z | 2025-10-19T02:32:27Z | null | genemerewether |
huggingface/diffusers | 10,496 | NF4 quantized flux models with loras | Is there any update here ? With nf4 quantized flux models, i could not use any lora
> **Update**: NF4 serialization and loading are working fine. @DN6 let's brainstorm how we can support it more easily? This would help us unlock doing LoRAs on the quantized weights, too (cc: @BenjaminBossan for PEFT). ... | https://github.com/huggingface/diffusers/issues/10496 | closed | [] | 2025-01-08T11:41:01Z | 2025-01-13T19:42:03Z | 12 | hamzaakyildiz |
huggingface/diffusers | 10,489 | Bug in SanaPipeline example? | ### Describe the bug
I think there might be something wrong with the `SanaPipeline` example code at https://huggingface.co/docs/diffusers/main/en/api/pipelines/sana#diffusers.SanaPipeline
It results in a shape mismatch (see detailed logs below): `mat1 and mat2 shapes cannot be multiplied (600x256000 and 2304x1152)`... | https://github.com/huggingface/diffusers/issues/10489 | closed | [
"bug"
] | 2025-01-07T17:14:27Z | 2025-01-08T05:18:05Z | 2 | geronimi73 |
huggingface/distil-whisper | 164 | How to finetune distil-whisper/distil-large-v2 model? | How to finetune distil-whisper/distil-large-v2 model? | https://github.com/huggingface/distil-whisper/issues/164 | open | [] | 2025-01-07T12:59:42Z | 2025-01-07T13:00:59Z | null | dhattareddy |
huggingface/doc-builder | 539 | How to Deploy huggingface/doc-builder Artifacts to GitHub Pages? | Hi,
I am currently working with the `huggingface/doc-builder` and I'm looking to deploy the generated documentation artifacts to GitHub Pages. Could you provide guidance or best practices on how to achieve this?
Specifically, I am interested in understanding:
1. The steps required to configure the deployment p... | https://github.com/huggingface/doc-builder/issues/539 | open | [] | 2025-01-07T08:37:05Z | 2025-01-07T08:37:05Z | null | shunk031 |
huggingface/peft | 2,310 | Comparison of Different Fine-Tuning Techniques for Conversational AI | ### Feature request
It would be incredibly helpful to have a clear comparison or support for various fine-tuning techniques specifically for conversational AI. This feature could include insights into their strengths, limitations, and ideal use cases, helping practitioners choose the right approach for their needs.
... | https://github.com/huggingface/peft/issues/2310 | open | [
"good first issue",
"help wanted",
"contributions-welcome"
] | 2025-01-07T07:07:50Z | 2025-12-15T09:58:10Z | 44 | ImamaDev |
huggingface/smolagents | 83 | How to save/extract executed code | Is it possible to save the executed code? It's already in the log. It will be very useful.
ex.
```
╭─ Executing this code: ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 1 attractions_list = [ ... | https://github.com/huggingface/smolagents/issues/83 | closed | [] | 2025-01-06T15:40:17Z | 2025-02-16T17:43:40Z | null | Lodimup |
huggingface/diffusers | 10,475 | [SD3]The quality of the images generated by the inference is not as high as on the validation set during fine-tuning? | ### Describe the bug
Why is the quality of the graphs I generate with `StableDiffusion3Pipeline` not as good as the quality of the images in the validation set in the log generated when using dreambooth_lora for fine tuning?
Maybe I need some other plugin or parameter setting to maintain the same image quality as the... | https://github.com/huggingface/diffusers/issues/10475 | closed | [
"bug",
"stale"
] | 2025-01-06T14:52:57Z | 2025-02-06T12:17:47Z | 8 | ytwo-hub |
huggingface/datasets | 7,356 | How about adding a feature to pass the key when performing map on DatasetDict? | ### Feature request
Add a feature to pass the key of the DatasetDict when performing map
### Motivation
I often preprocess using map on DatasetDict.
Sometimes, I need to preprocess train and valid data differently depending on the task.
So, I thought it would be nice to pass the key (like train, valid) when perf... | https://github.com/huggingface/datasets/issues/7356 | closed | [
"enhancement"
] | 2025-01-06T08:13:52Z | 2025-03-24T10:57:47Z | null | jp1924 |
huggingface/diffusers | 10,468 | What is accelerate_ds2.yaml？ | I can't find accelerate config file named "accelerate_ds2.yaml".
Please give me the file.
Thanks very much! | https://github.com/huggingface/diffusers/issues/10468 | closed | [] | 2025-01-06T07:53:06Z | 2025-01-12T05:32:01Z | null | aa327chenge |
huggingface/transformers | 35,523 | How about adding a combined step and epoch feature to save_strategy? | ### Feature request
Add epoch+steps functionality to save_strategy
### Motivation
I often set save_strategy to epoch for saving, but sometimes I need to run experiments with steps.
Recently, I had to compare checkpoints saved at both epoch and step intervals, which required running the experiment twice and was qui... | https://github.com/huggingface/transformers/issues/35523 | closed | [
"Feature request"
] | 2025-01-06T02:21:22Z | 2025-02-17T00:02:42Z | null | jp1924 |
huggingface/transformers | 35,512 | Perhaps your features (`videos` in this case) have excessive nesting (inputs type `list` where type `int` is expected). | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.46.1
- Platform: Linux-5.15.0-125-generic-x86_64-with-glibc2.35
- Python version: 3.10.16
- Huggingface_hub version: 0.27.0
- Safetensors version: 0.4.5
- Accelerate version: 1.0.1
- Accele... | https://github.com/huggingface/transformers/issues/35512 | closed | [
"bug"
] | 2025-01-05T06:51:26Z | 2025-02-13T08:45:39Z | null | yxy-kunling |
huggingface/diffusers | 10,452 | pipe.disable_model_cpu_offload | **Is your feature request related to a problem? Please describe.**
If I enable the following in Gradio interface
sana_pipe.enable_model_cpu_offload()
and during next generation I want to disable cpu offload, how to do it? I mentioned Gradio specifically as command line inference will not have this problem unless... | https://github.com/huggingface/diffusers/issues/10452 | closed | [] | 2025-01-04T16:39:01Z | 2025-01-07T08:29:32Z | 3 | nitinmukesh |
huggingface/diffusers | 10,448 | Load DDUF file with Diffusers using mmap | DDUF support for diffusers is there and DDUF support mmap.
But diffusers example doesn't use or support mmap,
How can I load DDUF file to diffusers with mmap?
```
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained(
"DDUF/FLUX.1-dev-DDUF", dduf_file="FLUX.1-dev.dduf", t... | https://github.com/huggingface/diffusers/issues/10448 | open | [
"stale"
] | 2025-01-04T00:42:09Z | 2025-02-03T15:02:46Z | 1 | adhikjoshi |
huggingface/lerobot | 613 | Starting off with pretrained models | Are there any pretrained models available that can be fine tuned using our own dataset for tasks like pick and place and manipulation? | https://github.com/huggingface/lerobot/issues/613 | closed | [
"question",
"stale"
] | 2025-01-03T21:09:40Z | 2025-10-08T20:53:09Z | null | rabhishek100 |
huggingface/optimum | 2,148 | Support for Exporting Specific Sub-Modules (e.g., Encoder, Decoder) | ### Feature request
Currently, when converting transformer models (like T5, but potentially others) to ONNX using the Optimum library, it appears to generate a single ONNX file encompassing the entire model architecture (both encoder and decoder). This occurs regardless of the specific task option selected during conv... | https://github.com/huggingface/optimum/issues/2148 | closed | [
"Stale"
] | 2025-01-03T14:48:36Z | 2025-04-08T02:09:03Z | 4 | happyme531 |
huggingface/smolagents | 52 | How to implement human in the loop? | How to implement human in the loop?
There are two scenarios: one where more information and input from the user are required, and another where the user's consent is needed to perform a certain action. | https://github.com/huggingface/smolagents/issues/52 | closed | [] | 2025-01-03T12:19:01Z | 2025-02-18T18:49:15Z | null | waderwu |
huggingface/lerobot | 611 | Can ACT policy support pushT task? | I want to train the ACT policy with pushT dataset, but the evaluation accuracy is only 0%.
Here is my yaml
[act_pusht.txt](https://github.com/user-attachments/files/18299197/act_pusht.txt)
And my training command is
''
pyt... | https://github.com/huggingface/lerobot/issues/611 | closed | [
"question",
"policies",
"stale"
] | 2025-01-03T11:30:40Z | 2025-10-19T02:32:28Z | null | Kimho666 |
huggingface/optimum | 2,147 | Convert Stable Diffusion Inpainting model to FP16 with FP32 inputs | ### Feature request
I've used [this script](https://github.com/Amblyopius/Stable-Diffusion-ONNX-FP16/blob/main/conv_sd_to_onnx.py) to convert models to ONNX in FP16 format but maintaining the FP32 inputs. One of the models that I converted was [Stable Diffusion 2 Inpainting](https://huggingface.co/jdp8/sd-2-inpainting... | https://github.com/huggingface/optimum/issues/2147 | closed | [] | 2025-01-02T21:28:43Z | 2025-01-25T00:15:54Z | 0 | jdp8 |
huggingface/diffusers | 10,433 | [Docs] Broken Links in a Section of Documentation | ### Broken Links in a Section of Documentation
>Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers) to learn how to explore the tradeoff between scheduler speed and quality, and see the [reuse components across pipelines](../../using-diffusers/loading#reuse-a-pipeline) section to learn how ... | https://github.com/huggingface/diffusers/issues/10433 | closed | [] | 2025-01-02T18:24:44Z | 2025-01-06T18:07:39Z | 0 | SahilCarterr |
huggingface/transformers | 35,485 | How to run the model on another machine and send the answer to another machine. | ### System Info
transformers 4.31.0 , window os , python 3.10.12
### Who can help?
vision models: @amyeroberts, @qubvel
I have tried using this model on my machine myself, and it works normally, but the processing is very slow because the GPU on my machine is not that powerful. However, I have a server with a str... | https://github.com/huggingface/transformers/issues/35485 | closed | [
"bug"
] | 2025-01-02T10:03:42Z | 2025-01-07T10:20:46Z | null | ixn3rd3mxn |
huggingface/accelerate | 3,320 | How to save self-defined model with deepspeed zero 3? | ### System Info
```Shell
- `Accelerate` version: 1.0.1
- Python version: 3.10.0
- Numpy version: 1.26.4
- PyTorch version (GPU?): 2.5.1+cu124 (True)
- PyTorch XPU available: False
- PyTorch NPU available: False
- PyTorch MLU available: False
- PyTorch MUSA available: False
- System RAM: 128.00 GB
- GPU typ... | https://github.com/huggingface/accelerate/issues/3320 | closed | [] | 2025-01-02T08:15:36Z | 2025-02-10T15:07:18Z | null | amoyplane |
huggingface/diffusers | 10,425 | Euler Flow Matching Scheduler Missing Documentation for Parameters | ### Describe the bug
The Euler flow matching scheduler in Hugging Face Diffusers is missing clear documentation for its parameters, making it difficult for users to understand how to configure the scheduler effectively for different use cases.
### Reproduction
Steps to Reproduce:
Visit the Hugging Face Diffusers ... | https://github.com/huggingface/diffusers/issues/10425 | closed | [
"bug"
] | 2025-01-02T01:37:38Z | 2025-01-02T01:38:38Z | 0 | hanshengzhu0001 |
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