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 | 33,489 | passing past_key_values as a tuple is deprecated, but unclear how to resolve | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.44.2
- Platform: Linux-5.4.0-167-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.24.7
- Safetensors version: 0.4.5
- Accelerate version: 0.34.2
... | https://github.com/huggingface/transformers/issues/33489 | closed | [
"bug"
] | 2024-09-14T13:58:18Z | 2025-11-29T04:50:43Z | null | RonanKMcGovern |
pytorch/PiPPy | 1,142 | How to train a model with pippy | It seems that the examples here are all examples of inference, where are the examples of training？ | https://github.com/pytorch/PiPPy/issues/1142 | open | [] | 2024-09-14T09:27:38Z | 2024-11-20T07:18:01Z | null | sunkun1997 |
pytorch/data | 1,317 | StatefulDataloader is slower than Dataloader. Is there any best practice of StatefulDataloader? | ### 📚 The doc issue
Hello,
Thank you for your awesome implementation of StatefulDataloader.
I use the compare the speed of Dataloader and StatefulDataloader, the StatefulDataloader is much slower than Dataloader. For example, Dataloader costs 10ms per iter, but StatefulDataloader costs about 2s per iter.
Is ... | https://github.com/meta-pytorch/data/issues/1317 | closed | [] | 2024-09-13T09:43:45Z | 2024-09-13T09:50:08Z | 1 | by2101 |
pytorch/torchtitan | 577 | DDP (replicate) + TP? | Currently, when there are two device meshes (`tp` and `dp`), torchtitan should choose FSDP as the **only** backend for DP. Ref:
https://github.com/pytorch/torchtitan/blob/d2a4904f58accc683c17c66a360026cb3c8109af/torchtitan/parallelisms/parallelize_llama.py#L97-L98
However, the `replicate` should support >1D mesh an... | https://github.com/pytorch/torchtitan/issues/577 | closed | [
"question"
] | 2024-09-13T08:10:05Z | 2025-03-19T21:22:12Z | null | yzs981130 |
pytorch/xla | 8,000 | [RFC] `torch_xla` Backward Compatibility Proposal | Recently, we have started the process to reduce the torch_xla API footprint in favor of torch API to improve the usability. This RFC focuses on the process to deprecate any functions.
## Backward compatibility
We propose to offer a 6 months (2 releases) grace period before completely removing the deprecated API. As... | https://github.com/pytorch/xla/issues/8000 | open | [
"documentation",
"2.5 release"
] | 2024-09-12T20:58:55Z | 2025-07-11T17:38:19Z | 4 | zpcore |
huggingface/lerobot | 436 | Image storage format | I am quite interested in using `LeRobotDataset` for large scale training. I am interested to get more context on the options for storing images so I am aware of the implications this might have:
- Did you by chance study if the mp4 video compression has any negative effects on the image quality in terms of model perfo... | https://github.com/huggingface/lerobot/issues/436 | closed | [
"question",
"dataset",
"stale"
] | 2024-09-12T16:38:21Z | 2025-10-23T02:29:14Z | null | nikonikolov |
huggingface/lerobot | 435 | Open-X datasets | Thanks for the great work! I am interested in converting more of the open-x datasets to `LeRobotDataset`.
- I was wondering if there was any particular reason the entire open-x wasn't added already, e.g. some difficulties you encountered with some specific datasets?
- Do you have any tips where I should be extra care... | https://github.com/huggingface/lerobot/issues/435 | closed | [
"enhancement",
"question",
"dataset"
] | 2024-09-12T16:29:40Z | 2025-10-08T08:25:55Z | null | nikonikolov |
huggingface/lerobot | 432 | some questions about real world env | ### System Info
```Shell
all software cfg match author's project
```
### Information
- [ ] One of the scripts in the examples/ folder of LeRobot
- [X] My own task or dataset (give details below)
### Reproduction
I am planning to control my own robot left-arm. I've almost figure out all the parts if lerobot-datase... | https://github.com/huggingface/lerobot/issues/432 | closed | [
"question"
] | 2024-09-12T09:53:23Z | 2025-10-08T08:27:48Z | null | NNsauce |
huggingface/chat-ui | 1,463 | Some bugs | ## Bug description
There are several issues that I have with the site, such as slow performance both on mobile and PC. When trying to select specific parts of the text, it goes back to the original message. Sometimes it occurs in errors that force me to always refresh the conversation. When I switch conversation I h... | https://github.com/huggingface/chat-ui/issues/1463 | open | [
"bug"
] | 2024-09-12T08:13:35Z | 2024-09-12T09:03:58Z | 0 | Ruyeex |
huggingface/transformers.js | 929 | what is pipeline? | https://github.com/huggingface/transformers.js/issues/929 | closed | [
"question"
] | 2024-09-12T05:09:05Z | 2024-10-04T10:24:42Z | null | chakravarthi-vatala | |
pytorch/torchchat | 1,134 | Failures when using PyTorch local build vs. binaries | ### 🐛 Describe the bug
I ran into an issue with loading the tokenizer, which was root caused to me using my local PyTorch build.
After building the aoti runner, I ran the following command: `cmake-out/aoti_run exportedModels/stories15M.so -z /home/angelayi/.torchchat/model-cache/stories15M/tokenizer.model -i "Once... | https://github.com/pytorch/torchchat/issues/1134 | open | [
"bug",
"enhancement"
] | 2024-09-11T23:57:18Z | 2024-09-12T01:01:24Z | 0 | angelayi |
huggingface/diffusers | 9,417 | Suggestion for speeding up `index_for_timestep` by removing sequential `nonzero()` calls in samplers | **Is your feature request related to a problem? Please describe.**
First off, thanks for the great codebase and providing so many resources! I just wanted to provide some insight into an improvement I made for myself, in case you'd like to include it for all samplers. I'm using the `FlowMatchEulerDiscreteScheduler` an... | https://github.com/huggingface/diffusers/issues/9417 | open | [
"help wanted",
"wip",
"contributions-welcome",
"performance"
] | 2024-09-11T14:54:37Z | 2025-02-08T10:26:47Z | 11 | ethanweber |
huggingface/cosmopedia | 29 | What is the best way to cite the work? | This is absolutely fantastic work. Thank you very much for making it public.
What is the best way to cite this dataset/project? Is there any paper I can cite or should I cite the blog-post? | https://github.com/huggingface/cosmopedia/issues/29 | closed | [] | 2024-09-11T14:34:54Z | 2024-09-11T14:36:15Z | null | vijetadeshpande |
huggingface/diffusers | 9,416 | [Schedulers] Add SGMUniform | Thanks to @rollingcookies, we can see in this [issue](https://github.com/huggingface/diffusers/issues/9397) that this schedulers works great with the Hyper and probably also Lighting loras/unets.
It'd be fantastic if someone can contribute this scheduler to diffusers.
Please let me know if someone is willing to ... | https://github.com/huggingface/diffusers/issues/9416 | closed | [
"help wanted",
"contributions-welcome",
"advanced"
] | 2024-09-11T13:59:27Z | 2024-09-23T23:39:56Z | 12 | asomoza |
huggingface/transformers | 33,416 | The examples in the examples directory are mostly for fine-tuning pre-trained models？how to trian from scratch | ### Model description
no
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links for the implementation
_No response_ | https://github.com/huggingface/transformers/issues/33416 | open | [
"New model"
] | 2024-09-11T03:32:53Z | 2024-10-03T23:28:42Z | null | zc-Chao |
pytorch/pytorch | 135,645 | [ONNX] How to export the FlashAttention kernel | ### 🐛 Describe the bug
1. code
```
import sys
import torch
from modeling_intern_vit import FlashAttention # FlashAttention of InternVL2-2B model
sys.path.append("/home/InternVL2-2B")
qkv=torch.load("/home/qkv.pth")
falsh=FlashAttention().eval().cuda()
out=falsh(qkv.cuda())
... | https://github.com/pytorch/pytorch/issues/135645 | closed | [
"module: onnx",
"triaged",
"onnx-triaged"
] | 2024-09-11T01:40:30Z | 2024-09-27T01:46:09Z | null | scuizhibin |
huggingface/diffusers | 9,407 | callback / cannot yield intermediate images on the fly during inference | Hi,
in advance apologies if this has been asked already, or if I'm just misusing the diffusers API.
Using `diffusers==0.30.2`
**What API design would you like to have changed or added to the library? Why?**
I will illustrate straight away the general issue with my use case: I need to call a (FLUX) diffuser... | https://github.com/huggingface/diffusers/issues/9407 | closed | [] | 2024-09-10T16:32:04Z | 2024-09-25T12:28:20Z | 8 | Clement-Lelievre |
huggingface/transformers.js | 928 | The inference speed on the mobile end is a bit slow | ### Question
If it is a mobile device that does not support WebGPU, how can we improve the inference speed of the model? I have tried WebWorker, but the results were not satisfactory | https://github.com/huggingface/transformers.js/issues/928 | open | [
"question"
] | 2024-09-10T09:14:16Z | 2024-09-11T08:46:33Z | null | Gratifyyy |
pytorch/tutorials | 3,050 | Improve example by adding missing import | The [example "Creating a Custom Dataset for your files"](https://github.com/pytorch/tutorials/blob/8a8331eb2796c05113c8a98bc03a7a164407fcbf/beginner_source/basics/data_tutorial.py#L123) is missing the import `from torch.utils.data import Dataset`. Since other imports are shown and the purpose of this example is to show... | https://github.com/pytorch/tutorials/issues/3050 | closed | [] | 2024-09-10T09:04:01Z | 2025-04-14T18:43:31Z | 0 | avitase |
pytorch/xla | 7,987 | Speeding up computation while using SPMD on large TPU pod | ## ❓ Questions and Help
When running on vp-128 TPU pod (even when sharding only by batch dimension) we are experiencing very low performance comparing to the same pod without SPMD.
Do you have any tips how to increase the performance? some SPMD arguments? things we need to think about when using it? anything that m... | https://github.com/pytorch/xla/issues/7987 | closed | [
"question",
"performance"
] | 2024-09-10T07:59:14Z | 2025-03-31T15:57:15Z | null | dudulightricks |
huggingface/transformers.js | 927 | Error with Using require for ES Modules in @xenova/transformers Package | ### Question
trying to use require to import the Pipeline class from the @xenova/transformers package, but encounter the following error:
const { Pipeline } = require('@xenova/transformers');
^
Error [ERR_REQUIRE_ESM]: require() of ES Module D:\Z-charity\dating_app_backend\node_modules@xenova\transformers\src\t... | https://github.com/huggingface/transformers.js/issues/927 | closed | [
"question"
] | 2024-09-10T06:02:53Z | 2024-12-08T19:17:31Z | null | qamarali205 |
huggingface/transformers.js | 925 | V3 - WebGPU Whisper in Chrome Extention | ### Question
Can [webGPU accelerated whisper](https://huggingface.co/spaces/Xenova/whisper-webgpu) run in a chrome extension?
I checked the space and found the dependency `"@xenova/transformers": "github:xenova/transformers.js#v3"` which I imported in a chrome extension. When I tried to import it, it didn't work.
... | https://github.com/huggingface/transformers.js/issues/925 | open | [
"question"
] | 2024-09-10T02:52:41Z | 2025-01-18T16:03:26Z | null | chandeldivyam |
huggingface/diffusers | 9,402 | [Flux ControlNet] Add img2img and inpaint pipelines | We recently added img2img and inpainting pipelines for Flux thanks to @Gothos contribution.
We also have controlnet support for Flux thanks to @wangqixun.
It'd be nice to have controlnet versions of these pipelines since there's been requests to have them.
Basically, we need to create two new pipelines that a... | https://github.com/huggingface/diffusers/issues/9402 | closed | [
"help wanted",
"Good second issue",
"contributions-welcome"
] | 2024-09-10T02:08:32Z | 2024-10-25T02:22:19Z | 11 | asomoza |
huggingface/transformers.js | 924 | Steps for suppressing strings | ### Question
What is the syntax for suppressing strings from showing up in the output text? Should I be doing that in my code, or is there a config option for it? I'm trying to remove everything that isn't a word:
```
const suppressedStrings = [
"[BLANK_AUDIO]",
"[CLEARS THROAT]",
"[Coughing]",
"[inaudib... | https://github.com/huggingface/transformers.js/issues/924 | open | [
"question"
] | 2024-09-09T21:44:16Z | 2025-01-24T17:53:47Z | null | stinoga |
huggingface/diffusers | 9,395 | [Q] Possibly unused `self.final_alpha_cumprod` | Hello team, quick question to make sure I understand the behavior of the `step` function in LCM Scheduler.
https://github.com/huggingface/diffusers/blob/a7361dccdc581147620bbd74a6d295cd92daf616/src/diffusers/schedulers/scheduling_lcm.py#L534-L543
Here, it seems that the condition `prev_timestep >= 0` is always `T... | https://github.com/huggingface/diffusers/issues/9395 | open | [
"stale"
] | 2024-09-09T17:35:08Z | 2024-11-09T15:03:23Z | 7 | fdtomasi |
huggingface/chat-ui | 1,458 | Chat ui sends message prompt 404 | ```
MONGODB_URL='mongodb://localhost:27017'
PLAYWRIGHT_ADBLOCKER='false'
MODELS=`[
{
"name": "Local minicpm",
"tokenizer": "minicpm",
"preprompt": "",
"chatPromptTemplate": "<s>{{preprompt}}{{#each messages}}{{#ifUser}}<|user|>\n{{content}}<|end|>\n<|assistant|>\n{{/ifUser}}{{#ifAssistant}}{{c... | https://github.com/huggingface/chat-ui/issues/1458 | open | [
"support"
] | 2024-09-09T13:31:56Z | 2024-09-13T09:32:24Z | 2 | nextdoorUncleLiu |
huggingface/chat-ui | 1,456 | could you provide an easy way to force output as json? | current I use
preprompt:'only output json. Do not output anything that is not json. Do not use markdown format. Must begin with {.'
But llama is not smart enough to output json form. It always begin with Here is the JSON answer or begin with ```(markdown format) for give me unvalid json string.
It seems prepr... | https://github.com/huggingface/chat-ui/issues/1456 | open | [
"enhancement"
] | 2024-09-09T11:34:17Z | 2024-10-06T18:35:29Z | 1 | ghost |
pytorch/torchtitan | 572 | How to calculate the total batchsize | Hi, it is me again~ I have a quick simple question: I am using the following training config with 4 GPUs. What is the total number of tokens per optimizer step? Is it 2 * 2048 or 2 * 2048 * 4?
```
[training]
batch_size = 2
seq_len = 2048
warmup_steps = 2000 # lr scheduler warm up, normally 20% of the train ste... | https://github.com/pytorch/torchtitan/issues/572 | closed | [
"question"
] | 2024-09-09T09:47:50Z | 2024-09-10T05:43:47Z | null | zyushun |
huggingface/diffusers | 9,392 | [Scheduler] Add SNR shift following SD3, would the rest of the code need to be modified? | **What API design would you like to have changed or added to the library? Why?**
With the increasing resolution of image or video generation, we need to introduce more noise at smaller T, such as SNR shift following SD3. I have observed that CogVideoX's schedule has already implemented [this](https://github.com/hugg... | https://github.com/huggingface/diffusers/issues/9392 | open | [
"stale"
] | 2024-09-09T09:19:37Z | 2025-01-05T15:05:04Z | 7 | LinB203 |
huggingface/speech-to-speech | 96 | How to designate Melo TTS model to use my trained model? | Hi,
I am using Melo as TTS. And I trained with my datasets. How to designate Melo (here at speech to speech) to use my model?
Thanks! | https://github.com/huggingface/speech-to-speech/issues/96 | closed | [] | 2024-09-08T20:36:23Z | 2024-09-10T14:42:58Z | null | insufficient-will |
huggingface/huggingface_hub | 2,526 | How can I rename folders in given repo? I need to rename folders | ### Describe the bug
I am try to rename like below but it fails :/
```
from huggingface_hub import HfApi
import os
# Initialize the Hugging Face API
api = HfApi()
# Set the repository name
repo_name = "MonsterMMORPG/3D-Cartoon-Style-FLUX"
# Define the folder renaming mappings
folder_renames = {
... | https://github.com/huggingface/huggingface_hub/issues/2526 | closed | [
"bug"
] | 2024-09-07T17:23:54Z | 2024-09-09T10:49:26Z | null | FurkanGozukara |
pytorch/xla | 7,972 | Registering CUDA custom calls with the C++ FFI | ## ❓ Questions and Help
Curious how to build and register a CUDA custom call with XLAC - have followed https://jax.readthedocs.io/en/latest/ffi.html and read https://openxla.org/xla/custom_call and wondering what the equivalent process is for torch / whether it is currently supported. | https://github.com/pytorch/xla/issues/7972 | open | [
"question"
] | 2024-09-07T01:27:35Z | 2025-03-31T16:08:31Z | null | skrider |
huggingface/transformers | 33,359 | [Docs] How to build offline HTML or Docset files for other documentation viewers? | ### Feature request
How can I build the docs into HTML files for use with other documentation viewers like [Dash](https://www.kapeli.com/dash) , [Dash-User-Contributions](https://github.com/Kapeli/Dash-User-Contributions)?
I successfully built the PyTorch docs for Dash by working directly in their `docs/` directory... | https://github.com/huggingface/transformers/issues/33359 | closed | [
"Documentation",
"Feature request"
] | 2024-09-06T15:51:35Z | 2024-09-10T23:43:57Z | null | ueoo |
huggingface/transformers | 33,343 | How to install transformers==4.45, two or three days I can install successfully, but today cannot. | ### System Info
torch2.2
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
pip instal... | https://github.com/huggingface/transformers/issues/33343 | closed | [
"Installation",
"bug"
] | 2024-09-06T08:23:00Z | 2024-10-16T08:04:10Z | null | HyacinthJingjing |
pytorch/torchchat | 1,114 | What is the future plan of this torchchat project? | ### 🐛 Describe the bug
Torchchat provides a solution of running LLM with PyTorch optimization on servers, desktop and mobile.
May I know what is the future plan of this project? Is there any new features to finish to encourage users to use Torchchat as a solution?
| https://github.com/pytorch/torchchat/issues/1114 | closed | [] | 2024-09-06T06:03:17Z | 2024-09-09T15:40:39Z | null | yanbing-j |
huggingface/optimum-nvidia | 149 | How to use TensorRT model converter | Referring to [src/optimum/nvidia/export/converter.py] -> class 'TensorRTModelConverter' this could 'Take a local model and create the TRTLLM checkpoint and engine'
Questions:
- What are applicable local model format? e.g. JAX, HuggingFace, DeepSpeed
- How to use this script individually to generate TRTLLM checkpoint... | https://github.com/huggingface/optimum-nvidia/issues/149 | open | [] | 2024-09-05T18:55:15Z | 2024-09-05T18:55:15Z | null | FortunaZhang |
huggingface/datasets | 7,139 | Use load_dataset to load imagenet-1K But find a empty dataset | ### Describe the bug
```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | https://github.com/huggingface/datasets/issues/7139 | open | [] | 2024-09-05T15:12:22Z | 2024-10-09T04:02:41Z | 2 | fscdc |
huggingface/datasets | 7,138 | Cache only changed columns? | ### Feature request
Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB again.
#... | https://github.com/huggingface/datasets/issues/7138 | open | [
"enhancement"
] | 2024-09-05T12:56:47Z | 2024-09-20T13:27:20Z | 2 | Modexus |
huggingface/lerobot | 413 | Compatible off-the-shelf robots? | Huge thanks for making all of this available!
Can you recommend any (low-cost) off-the-shelf robots to work with? | https://github.com/huggingface/lerobot/issues/413 | closed | [
"question"
] | 2024-09-05T10:21:24Z | 2025-10-08T08:27:56Z | null | danielfriis |
huggingface/diffusers | 9,362 | IndexError: index 29 is out of bounds for dimension 0 with size 29 | ### Describe the bug
I have three problems because of the same reason.
1) TypeError: unsupported operand type(s) for +=: 'NoneType' and 'int'
# upon completion increase step index by one
self._step_index += 1 <---Error [here](https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedu... | https://github.com/huggingface/diffusers/issues/9362 | open | [
"bug",
"stale"
] | 2024-09-04T11:02:49Z | 2024-11-25T15:04:22Z | 8 | Anvarka |
pytorch/pytorch | 135,098 | How to gracefully mask CompositeImplicitAutograd for different backends | ### 🐛 Describe the bug
I implemented torch.compile’s backend for my hardware via privateUserOne. I also found that torch.compile by default decomposes upsample_nearest2d into a bunch of small operators, just like _upsample_nearest does. But on my hardware, the _unsafe_index operator doesn’t perform well, so I’d like ... | https://github.com/pytorch/pytorch/issues/135098 | closed | [
"oncall: pt2",
"oncall: export"
] | 2024-09-04T09:11:28Z | 2024-11-01T06:20:49Z | null | yangxiaorun |
huggingface/tokenizers | 1,627 | Rust: How to handle models with `precompiled_charsmap = null` | Hi guys,
I'm currently working on https://github.com/supabase/edge-runtime/pull/368 that pretends to add a rust implementation of `pipeline()`.
While I was coding the `translation` task I figured out that I can't load the `Tokenizer` instance for [Xenova/opus-mt-en-fr](https://huggingface.co/Xenova/opus-mt-en-fr) ... | https://github.com/huggingface/tokenizers/issues/1627 | open | [
"Feature Request"
] | 2024-09-04T08:33:06Z | 2024-10-06T15:34:06Z | null | kallebysantos |
huggingface/optimum | 2,013 | Is it possible convert decoder_model_merged.onnx to tensorrt via trtexec command ? | At the first I convert whisper-tiny to onnx via optimum-cli
`optimum-cli export onnx --model openai/whisper-tiny --task automatic-speech-recognition-with-past whisper-tiny-onnx`
I got the some config, encoder and decoder_merged model
then I brought encoder and decoder_merged to convert to tensorrt via NGC versio... | https://github.com/huggingface/optimum/issues/2013 | closed | [] | 2024-09-03T17:52:40Z | 2024-09-15T10:16:34Z | 3 | ccyrene |
huggingface/lerobot | 407 | Multi-Image support for VQ-BeT | Hello, I wanted to ask if there is a possibility to have VQ-BeT running on multiple camera's for some environments that have different views, like Robomimic? If so can someone give me points on what exactly I need to change, I would be happy to submit a PR once I get it working on my side and finish the ICLR deadline! ... | https://github.com/huggingface/lerobot/issues/407 | closed | [
"question",
"policies"
] | 2024-09-03T17:00:23Z | 2025-10-08T08:27:39Z | null | bkpcoding |
pytorch/vision | 8,626 | Better decoder docs | Our decoding docs are poor, disorganized, and don't have any example.
We should improve those to clarify what is supported, how, and encourage users to rely on those. | https://github.com/pytorch/vision/issues/8626 | closed | [] | 2024-09-03T14:47:11Z | 2024-10-01T12:19:14Z | 0 | NicolasHug |
huggingface/optimum | 2,009 | [Feature request] Add kwargs or additional options for torch.onnx.export | ### Feature request
In `optimum.exporters.onnx.convert import export_pytorch`, there could be an option to add additional kwargs to the function which could be passed to the torch.onnx.export function.
### Motivation
If such an option possible or will this ruin any of the other features, or is there a reason why the... | https://github.com/huggingface/optimum/issues/2009 | open | [
"onnx"
] | 2024-09-03T13:52:50Z | 2024-10-08T15:27:26Z | 0 | martinkorelic |
huggingface/speech-to-speech | 74 | How to integrate it with frontend | Hi, What steps should I follow to create a web app UI and integrate it?
Many thanks for considering my request. | https://github.com/huggingface/speech-to-speech/issues/74 | open | [] | 2024-09-03T12:18:52Z | 2024-09-03T13:52:08Z | null | shrinivasait |
huggingface/diffusers | 9,356 | pipeline_stable_diffusion_xl_adapter | ### Describe the bug
I want to rewrite the call function of the pipeline_stable_diffusion_xl_adapter. When I want to use the function prepare_ip_adapter_image_embeds, there is an error called "AttributeError: 'NoneType' object has no attribute 'image_projection_layers'". The error tells me that the attribution self.un... | https://github.com/huggingface/diffusers/issues/9356 | open | [
"bug",
"stale"
] | 2024-09-03T10:25:57Z | 2024-10-28T15:03:18Z | 6 | Yuhan291 |
huggingface/diffusers | 9,352 | Text generation? | Hi thanks for this great library!
There seems to be some diffusion models that generate text, instead of images. (For example, these two surveys: https://arxiv.org/abs/2303.06574, https://www.semanticscholar.org/paper/Diffusion-models-in-text-generation%3A-a-survey-Yi-Chen/41941f072db18972b610de9979e755afba35f11e). ... | https://github.com/huggingface/diffusers/issues/9352 | open | [
"wip"
] | 2024-09-03T06:54:38Z | 2024-11-23T04:57:37Z | 13 | fzyzcjy |
huggingface/speech-to-speech | 71 | How to run in ubuntu | I am trying to run it locally in my Ubuntu machine I have nvidia gpu and already setup CUDA.
```
python s2s_pipeline.py \
--recv_host 0.0.0.0 \
--send_host 0.0.0.0 \
--lm_model_name microsoft/Phi-3-mini-4k-instruct \
--init_chat_role system \
--stt_compile_mode reduce-overhead \
--tts_compile_mode defau... | https://github.com/huggingface/speech-to-speech/issues/71 | closed | [] | 2024-09-03T06:02:45Z | 2024-10-01T07:45:20Z | null | Basal-Analytics |
huggingface/optimum | 2,006 | Support for gemma2-2b-it(gemma 2nd version) Model Export in Optimum for OpenVINO | ### Feature request
please provide Support for gemma2 Model Export in Optimum for OpenVINO
version:optimum(1.21.4)
transformers:4.43.4
### Motivation
I encountered an issue while trying to export a gemma2 model using the optimum library for ONNX export. The error message suggests that the gemma2 model is either a... | https://github.com/huggingface/optimum/issues/2006 | open | [
"onnx"
] | 2024-09-03T05:54:51Z | 2025-01-22T15:40:04Z | 2 | chakka12345677 |
huggingface/transformers | 33,270 | Static KV cache status: How to use it? Does it work for all models? | I see that there are many PRs about [StaticCache](https://github.com/huggingface/transformers/pulls?q=is%3Apr+StaticCache), but I couldn't find a clear documentation on how to use it.
#### What I want
* To not have Transformers allocate memory dynamically for the KV cache when using `model.generate()`, as that le... | https://github.com/huggingface/transformers/issues/33270 | closed | [] | 2024-09-03T02:17:54Z | 2024-11-25T16:17:25Z | null | oobabooga |
huggingface/transformers.js | 917 | Where should I get `decoder_model_merged` file from? | ### Question
Hey,
I'm trying to use `whisper-web` demo with my finetuned model.
After I managed connecting my model to the demo application, I'm getting errors related to this:
https://github.com/xenova/transformers.js/blob/7f5081da29c3f77ee830269ab801344776e61bcb/src/models.js#L771
Basically, when `transforme... | https://github.com/huggingface/transformers.js/issues/917 | closed | [
"question"
] | 2024-09-02T07:30:57Z | 2025-02-26T12:05:05Z | null | abuchnick-aiola |
huggingface/diffusers | 9,339 | SD3 inpatinting | I found the StableDiffusion3InpaintPipeline, where can i found the weight of SD3 inpainting | https://github.com/huggingface/diffusers/issues/9339 | closed | [
"stale"
] | 2024-09-02T05:00:19Z | 2024-10-02T15:43:24Z | 5 | ucasyjz |
pytorch/torchtitan | 566 | Multi-node training without AWS EFA clusters | Thank you so much for releasing code for this great project!
For multi-node training, right now I've only found commands in `multinode_trainer.slurm`, which seem to be specific to AWS EFA slurm clusters.
I'm wondering if it's possible to try multi-node training without ASW setup, say with simply the IPs of 2 node... | https://github.com/pytorch/torchtitan/issues/566 | closed | [
"question"
] | 2024-08-31T22:41:04Z | 2024-09-04T20:55:50Z | null | LeoXinhaoLee |
huggingface/transformers | 33,232 | How to use hugginface for training: google-t5/t5-base | ### Feature request
How to use hugginface for training / 如何使用huggingface来训练：
https://github.com/huggingface/transformers/tree/main/examples/pytorch/translation
#What is the format and how do I write it? / 这个格式是怎么样的，怎么写呢？
def batch_collator(data):
print(data) #?????????????????????????????????????????????... | https://github.com/huggingface/transformers/issues/33232 | open | [
"Usage",
"Feature request"
] | 2024-08-31T07:41:18Z | 2024-09-09T08:45:50Z | null | gg22mm |
pytorch/pytorch | 134,901 | How to calculate second derivative using PyTorch with GPU (cuda) | ### 🚀 The feature, motivation and pitch
I have a python code segment related to a deep RL algorithm where it calculates the second order optimization and second derivative with Hessian matrix and fisher information matrix. Normally I run the whole code on GPU (cuda), but since I got a computational issue to calcula... | https://github.com/pytorch/pytorch/issues/134901 | open | [
"module: double backwards",
"module: cudnn",
"module: autograd",
"module: rnn",
"triaged",
"module: functorch"
] | 2024-08-31T04:01:40Z | 2024-09-04T01:48:21Z | null | Damika-Anupama |
huggingface/transformers | 33,228 | How to obtain batch index of validation dataset? | Hi,
I wanted to know how would we fetch the batch id/index of the eval dataset in ```preprocess_logits_for_metrics()``` ?
Thanks in advance! | https://github.com/huggingface/transformers/issues/33228 | closed | [
"Usage"
] | 2024-08-31T00:11:13Z | 2024-10-13T08:04:26Z | null | SoumiDas |
huggingface/transformers | 33,210 | The model's address is https://huggingface.co/Xenova/nllb-200-distilled-600M/tree/main/onnx。I don't know how to load encode.onnx and decoder.onnx, and successfully translate a sentence into another language. Can you help me write an inference code to achieve the translation effect through the encoder and decoder? thank... | ### Feature request
hello，The model's address is [https://huggingface.co/Xenova/nllb-200-distilled-600M/tree/main/onnx。I](https://huggingface.co/Xenova/nllb-200-distilled-600M/tree/main/onnx%E3%80%82I) don't know how to load encode.onnx and decoder.onnx, and successfully translate a sentence into another language. Can... | https://github.com/huggingface/transformers/issues/33210 | open | [
"Feature request"
] | 2024-08-30T09:33:01Z | 2024-10-22T07:18:15Z | null | pengpengtao |
huggingface/dataset-viewer | 3,054 | Image URL detection | [`is_image_url`](https://github.com/huggingface/dataset-viewer/blob/946b0788fa426007161f2077a70b5ae64b211cf8/libs/libcommon/src/libcommon/utils.py#L131-L134) relies on a filename and extension being present, however, in some cases an image URL does not contain a filename. Example [dataset](https://huggingface.co/datase... | https://github.com/huggingface/dataset-viewer/issues/3054 | open | [
"question",
"improvement / optimization",
"P2"
] | 2024-08-29T23:17:55Z | 2025-07-04T09:37:23Z | null | hlky |
huggingface/transformers.js | 911 | Next.js example breaks with v3 | ### Question
Are there steps documented anywhere for running V3 in your app? I'm trying to test it out via these steps:
1. Pointing to the alpha in my `package.json`: `"@huggingface/transformers": "^3.0.0-alpha.10",`
2. `npm i`
3. `cd node_modules/@hugginface/transformers && npm i`
4. copy the [webpack.config.js... | https://github.com/huggingface/transformers.js/issues/911 | closed | [
"question"
] | 2024-08-29T20:17:03Z | 2025-02-16T12:35:47Z | null | stinoga |
pytorch/xla | 7,925 | Prepare a documentation to explain the use cases for `torch.compile`, `torch_xla.compile`, torch_xla eager mode, torchxla2 | ## 📚 Documentation
Author a documentation to explain the use cases for `torch.compile`, `torch_xla.compile`, torch_xla eager mode, torchxla2. Users and customers look for clarity on the "the utility" of each option, pros/cons, small example to demonstrate correct use.
cc @ManfeiBai @JackCaoG @will-cromar @qihqi ... | https://github.com/pytorch/xla/issues/7925 | closed | [
"documentation"
] | 2024-08-29T17:01:06Z | 2024-09-24T18:33:39Z | 2 | miladm |
pytorch/torchtitan | 562 | Pipeline Parallelism + FSDP | On `PP + FSDP` and `PP + TP + FSDP`:
- Is there any documentation on how these different parallelisms compose?
- What are the largest training runs these strategies have been tested on?
- Are there benchmarks for how these strategies compare against other distributed training frameworks that expose similar paralleli... | https://github.com/pytorch/torchtitan/issues/562 | open | [
"enhancement",
"question",
"module: pipelining"
] | 2024-08-29T14:19:58Z | 2025-10-30T06:21:51Z | null | jeromeku |
huggingface/diffusers | 9,317 | Finetuning on dataset | dear @thedarkzeno and @patil-suraj
Thank you so much for putting your work out there. I wanted to ask, how would the training be for training on a dataset and not a single instance image as mentioned in train_dreambooth_inpaint. And can I finetune models trained from https://github.com/CompVis/latent-diffusion repo... | https://github.com/huggingface/diffusers/issues/9317 | closed | [
"stale"
] | 2024-08-29T12:20:51Z | 2024-10-23T16:10:47Z | 4 | ultiwinter |
pytorch/pytorch | 134,760 | How to correctly release the memory of a tensor | i have fined the memory increase at this line.
[param.copy_(input_param)](https://github.com/pytorch/pytorch/blob/d01a7a9faa5a742a3df7374b97bbc1db1205b6ed/torch/nn/modules/module.py#L2425)
but the memory cant be released clean after the module use.
what happen in it and how to correctly release the memory of a tenso... | https://github.com/pytorch/pytorch/issues/134760 | closed | [
"module: nn",
"module: memory usage",
"triaged"
] | 2024-08-29T11:39:12Z | 2024-08-30T08:24:23Z | null | huangqiaobo |
huggingface/optimum-quanto | 300 | How to quantize, save and load Stable Diffusion 3 model. | import torch
from optimum.quanto import qint2, qint4, qint8, quantize, freeze
from diffusers import StableDiffusion3Pipeline
pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.bfloat16)
quantize(pipe.text_encoder, weights=qint4)
freeze(pip... | https://github.com/huggingface/optimum-quanto/issues/300 | closed | [
"Stale"
] | 2024-08-29T06:24:02Z | 2024-10-06T02:06:30Z | null | jainrahul52 |
huggingface/optimum | 2,002 | Is it possible to infer the model separately through encoder.onnx and decoder.onnx | ### Feature request
Is it possible to infer the model separately through encoder.onnx and decoder.onnx
### Motivation
Is it possible to infer the model separately through encoder.onnx and decoder.onnx
### Your contribution
Is it possible to infer the model separately through encoder.onnx and decoder.onnx | https://github.com/huggingface/optimum/issues/2002 | open | [
"onnx"
] | 2024-08-29T03:26:20Z | 2024-10-08T15:28:59Z | 0 | pengpengtao |
pytorch/TensorRT | 3,124 | ❓ [Question] dynamo conversion failing w/ TRTInterpreter | ## ❓ Question
im able to `torch.export` and generate an ExportedProgram with no issues for my model. upon compiling with `torch_tensorrt`...
```python
ep = torch.export.load("...")
example_inputs = ep.example_inputs[0]
model = ep.module().to("cuda")
compile_spec = {
"ir": "torch_compile",
"inputs":... | https://github.com/pytorch/TensorRT/issues/3124 | open | [
"question"
] | 2024-08-28T20:09:48Z | 2024-09-06T19:36:58Z | null | patrick-botco |
pytorch/tutorials | 3,017 | 💡 [REQUEST] - What is purpose of `out.backward(torch.randn(1, 10))` in neural_networks_tutorial | ### 🚀 Describe the improvement or the new tutorial
In [neural networks tutorial for beginners](https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html), we have the following:
Zero the gradient buffers of all parameters and backprops with random gradients:
```
net.zero_grad()
out.backward(tor... | https://github.com/pytorch/tutorials/issues/3017 | open | [
"question",
"intro",
"core"
] | 2024-08-28T14:51:46Z | 2025-04-16T18:24:08Z | null | Lovkush-A |
huggingface/diffusers | 9,303 | [Add] VEnhancer - the interpolation and upscaler for CogVideoX-5b | ### Model/Pipeline/Scheduler description
VEnhancer, a generative space-time enhancement framework that can improve the existing T2V results.
https://github.com/Vchitect/VEnhancer
### Open source status
- [X] The model implementation is available.
- [X] The model weights are available (Only relevant if addition is... | https://github.com/huggingface/diffusers/issues/9303 | open | [
"stale"
] | 2024-08-28T14:43:32Z | 2024-12-11T15:04:32Z | 3 | tin2tin |
huggingface/text-generation-inference | 2,466 | Guide on how to use TensorRT-LLM Backend | ### Feature request
Does any documentation exist, or would it be possible to add documentation, on how to use the TensorRT-LLM backend? #2458 makes mention that the TRT-LLM backend exists, and I can see that there's a Dockerfile for TRT-LLM, but I don't see any guides on how to build/use it.
### Motivation
I would l... | https://github.com/huggingface/text-generation-inference/issues/2466 | open | [] | 2024-08-28T13:24:26Z | 2025-05-18T16:23:14Z | null | michaelthreet |
huggingface/lerobot | 390 | [Feature Request] Add end effector pos field in lerobot dataset? | Aloha style joint space dataset will limit data set to the specific robot. Can we change joint space data or add a field of end effector to cartesian space data base on the robot URDF file?
It may help robotics community build a more generalized policy. | https://github.com/huggingface/lerobot/issues/390 | closed | [
"question",
"dataset",
"robots"
] | 2024-08-28T13:19:15Z | 2024-08-29T09:55:27Z | null | hilookas |
huggingface/datasets | 7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | In the documentation for [ClassLabel](https://huggingface.co/docs/datasets/v2.21.0/en/package_reference/main_classes#datasets.ClassLabel), there is an example of usage with the following code:
````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
... | https://github.com/huggingface/datasets/issues/7129 | closed | [] | 2024-08-28T12:27:48Z | 2024-12-06T11:32:02Z | 0 | sergiopaniego |
huggingface/diffusers | 9,299 | CUDAGRAPHs for Flux position embeddings | @yiyixuxu
Is it possible to refactor the Flux positional embeddings so that we can fully make use of CUDAGRAPHs?
```bash
skipping cudagraphs due to skipping cudagraphs due to cpu device (device_put). Found from :
File "/home/sayak/diffusers/src/diffusers/models/transformers/transformer_flux.py", line 469,... | https://github.com/huggingface/diffusers/issues/9299 | closed | [] | 2024-08-28T11:33:16Z | 2024-08-29T19:37:17Z | 0 | sayakpaul |
pytorch/pytorch | 134,668 | Whether tensor parallelism supports the overlap of communication calculations for gradient computation, and how to implement it | ### 🚀 The feature, motivation and pitch
I want to know How to achieve the overlap of communication calculations when finding the gradient after row cutting/column cutting of the linear layer，thanks
The following is
https://pytorch.org/docs/2.3/distributed.tensor.parallel.html
### Alternatives
_No response_
### A... | https://github.com/pytorch/pytorch/issues/134668 | open | [
"oncall: distributed",
"triaged"
] | 2024-08-28T11:06:58Z | 2024-08-30T17:54:43Z | null | Xingzhi107 |
huggingface/transformers.js | 906 | Unsupported model type: jais | ### Question
### System Info
macOS, node v20.10, @xenova/transformers 2.17.2
### Environment/Platform
- [ ] Website/web-app
- [ ] Browser extension
- [x] Server-side (e.g., Node.js, Deno, Bun)
- [ ] Desktop app (e.g., Electron)
- [ ] Other (e.g., VSCode extension)
### Description
```
Error: Unsuppor... | https://github.com/huggingface/transformers.js/issues/906 | closed | [
"question"
] | 2024-08-28T09:46:17Z | 2024-08-28T21:01:10Z | null | SherifElfadaly |
huggingface/trl | 1,986 | how to convert dpodata to ktodata | ### Feature request
how to convert dpodata to ktodata
### Motivation
how to convert dpodata to ktodata
### Your contribution
how to convert dpodata to ktodata | https://github.com/huggingface/trl/issues/1986 | closed | [] | 2024-08-28T06:23:13Z | 2024-08-28T09:02:35Z | null | dotsonliu |
pytorch/ao | 763 | How to reduce autoquant compilation time | Autoquant has been popular among the diffusers crowd since its OOB performance has been the best but the main issue is compile times are quite long. There's a few strategies to mitigate this
1. Tune faster: either with better heuristics or a faster tuning core loop
2. Cache things: It's fine if tuning takes a long ti... | https://github.com/pytorch/ao/issues/763 | open | [] | 2024-08-27T20:49:09Z | 2024-08-28T17:36:03Z | null | msaroufim |
huggingface/datasets | 7,128 | Filter Large Dataset Entry by Entry | ### Feature request
I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | https://github.com/huggingface/datasets/issues/7128 | open | [
"enhancement"
] | 2024-08-27T20:31:09Z | 2024-10-07T23:37:44Z | 4 | QiyaoWei |
huggingface/huggingface_hub | 2,491 | How to uplaod folders into repo with most effective way - on error continue resume max speed | Hello. I have the below tasks for uploading however I am not sure if they are most effective way of doing
#### This cell is used to upload single file into a repo with certain name
```
from huggingface_hub import HfApi
api = HfApi()
api.upload_file(
path_or_fileobj=r"/home/Ubuntu/apps/stable-diffusion-w... | https://github.com/huggingface/huggingface_hub/issues/2491 | closed | [
"bug"
] | 2024-08-27T16:36:04Z | 2024-08-28T08:24:22Z | null | FurkanGozukara |
huggingface/Google-Cloud-Containers | 73 | Download model files from GCS (Instead of HF Hub) | When deploying an HF model to Vertex AI, I would like to download a fine-tuned model from GCS, instead of from HF Hub, like so:
```
model = aiplatform.Model.upload(
display_name="my-model",
serving_container_image_uri=os.getenv("CONTAINER_URI"),
serving_container_environment_variables={
"AIP... | https://github.com/huggingface/Google-Cloud-Containers/issues/73 | closed | [
"tei",
"question"
] | 2024-08-27T12:14:10Z | 2024-09-16T07:07:11Z | null | rm-jeremyduplessis |
pytorch/ao | 750 | Question RE AO MX formats | I noticed the [MX readme](https://github.com/pytorch/ao/tree/main/torchao/prototype/mx_formats) has this line: "we match bitwise to other implementations of the OCP MX spec (code not in this repo), with a couple of edge cases left to resolve." Is there a list of edge cases where AO does not match reference implementati... | https://github.com/pytorch/ao/issues/750 | closed | [
"question",
"mx"
] | 2024-08-26T17:37:40Z | 2024-08-27T17:15:01Z | null | tsengalb99 |
huggingface/chat-ui | 1,436 | MODELS=`[ variable problem when I docker run | Hello,
I want to use Ollama to use Mistral model and I followed the documentation below : https://huggingface.co/docs/chat-ui/configuration/models/providers/ollama
`deploy.sh` :
```sh
#!/bin/bash
sudo docker compose down
sudo docker rm -f mongodb && sudo docker rm -f chat-ui
# nginx and ollama
sudo d... | https://github.com/huggingface/chat-ui/issues/1436 | closed | [
"support"
] | 2024-08-26T14:00:26Z | 2024-08-27T11:04:39Z | 5 | avirgos |
huggingface/diffusers | 9,276 | How can I manually update some of their checkpoints of UNet2/3DConditionModel objects? | ### Discussed in https://github.com/huggingface/diffusers/discussions/9273
<div type='discussions-op-text'>
<sup>Originally posted by **justin4ai** August 26, 2024</sup>
Hello, I'm quite new to diffusers package and trying to implement fine-tuning code that uses the saved checkpoints initialized with ```UNet2/3D... | https://github.com/huggingface/diffusers/issues/9276 | open | [
"stale"
] | 2024-08-26T07:49:23Z | 2024-09-25T15:03:01Z | 1 | justin4ai |
huggingface/transformers | 33,115 | How to get the score of each token when using pipeline | pipe = pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
max_new_tokens=512,
do_sample=True,
temperature=0.7,
top_p=0.95,
top_k=40,
repetition_penalty=1.1,
output_scores=True
)
The model I use is Qwen2-7B-Instruct. When I try to output the score of each... | https://github.com/huggingface/transformers/issues/33115 | closed | [
"Usage"
] | 2024-08-26T07:00:54Z | 2025-03-06T08:23:58Z | null | xin0623 |
huggingface/diffusers | 9,271 | The different quality between ComfyUI and Diffusers ? | ### Discussed in https://github.com/huggingface/diffusers/discussions/9265
<div type='discussions-op-text'>
<sup>Originally posted by **vuongminh1907** August 25, 2024</sup>
I had a problem using InstantID (https://github.com/instantX-research/InstantID), which uses Diffusers as its base. Additionally, I tried C... | https://github.com/huggingface/diffusers/issues/9271 | closed | [
"stale"
] | 2024-08-26T02:53:23Z | 2024-10-15T18:10:42Z | 3 | vuongminh1907 |
huggingface/diffusers | 9,264 | Could you make an inpainting model for flux? | ### Model/Pipeline/Scheduler description
The [stable-diffusion-xl-1.0-inpainting-0.1](https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1) model helps a lot. Could you make a similar inpainting model for flux?
https://huggingface.co/black-forest-labs/FLUX.1-dev
### Open source status
- [ ] The... | https://github.com/huggingface/diffusers/issues/9264 | closed | [] | 2024-08-24T17:32:32Z | 2024-08-24T17:37:59Z | 2 | snowbedding |
huggingface/transformers | 33,106 | how to fine tune TrOCR on specifique langage guide. | ### Model description
hello , just passed through issues and other , but none of them talked on how to fine-tune TrOCR on specifique langage , like how to pick encoder and decoder , model .. etc ,
can you @NielsRogge , write a simple instructions/guide on this topic ?
### Open source status
- [ ] The model imple... | https://github.com/huggingface/transformers/issues/33106 | closed | [] | 2024-08-24T14:33:02Z | 2025-06-15T08:07:10Z | null | MohamedLahmeri01 |
pytorch/xla | 7,911 | Documentation: Discoverability of http://pytorch.org/xla | ## 📚 Documentation: Discoverability of http://pytorch.org/xla
The docs are very hard to find _despite_ being hosted on [pytorch.org](http://pytorch.org/). If I visit [pytorch.org](http://pytorch.org/) I can't find any link that goes to [pytorch.org/xla](http://pytorch.org/xla). The closest I could find is somewhere... | https://github.com/pytorch/xla/issues/7911 | closed | [
"documentation"
] | 2024-08-24T02:58:03Z | 2024-11-04T17:38:23Z | 7 | tengyifei |
huggingface/datasets | 7,123 | Make dataset viewer more flexible in displaying metadata alongside images | ### Feature request
To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | https://github.com/huggingface/datasets/issues/7123 | open | [
"enhancement"
] | 2024-08-23T22:56:01Z | 2024-10-17T09:13:47Z | 3 | egrace479 |
pytorch/vision | 8,608 | loss_box_reg increasing while training mask rcnn | ### 🐛 Describe the bug
I am trying to train maskRcnn model using detectron2 on my custom LVO deteset. My dataset is a single class dataset and some of the image have no annotation in it. The architecture need to learn negative examples as well for proper training as the test data contains both positive and negative... | https://github.com/pytorch/vision/issues/8608 | closed | [] | 2024-08-23T15:15:27Z | 2024-08-27T10:13:48Z | 1 | ArpanGyawali |
huggingface/diffusers | 9,258 | Kohya SS FLUX LoRA training is way faster on Linux than Windows any ideas to debug? Same settings, libraries and GPU | ### Describe the bug
I am using Kohya SS to train FLUX LoRA
On Linux RTX 3090 gets like 5.5 second / it - batch size 1 and 1024x1024 px resolution
On Windows RTX 3090 TI gets 7.7 second / it - has the most powerful CPU 13900 K
This speed dispercany is huge between Windows and Linux for some reason
Torch... | https://github.com/huggingface/diffusers/issues/9258 | closed | [
"bug"
] | 2024-08-23T11:42:53Z | 2024-08-23T11:55:18Z | 1 | FurkanGozukara |
huggingface/datasets | 7,122 | [interleave_dataset] sample batches from a single source at a time | ### Feature request
interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | https://github.com/huggingface/datasets/issues/7122 | open | [
"enhancement"
] | 2024-08-23T07:21:15Z | 2024-08-23T07:21:15Z | 0 | memray |
huggingface/text-generation-inference | 2,452 | How to get the token probability by curl request? | ### Feature request
curl -v -X POST http://.....srv/generate -H "Content-Type: application/json" -d '{"inputs": "xxxxx:","parameters": {"max_new_tokens": 256}}'
user this curl request, get output like
{"generated_text": xxxx}
how to get generated text probability from llm in TGI service?
### Motivation
no
... | https://github.com/huggingface/text-generation-inference/issues/2452 | closed | [] | 2024-08-23T03:01:17Z | 2024-08-27T01:32:44Z | null | TWSFar |
huggingface/speech-to-speech | 37 | [Feature request] How about adding an optional speech to viseme model at the end of our chain? | Hi there,
Thank you so much for your work on this project. It's truly amazing, and I’m excited to see all the innovative tools that people will build based on it. I can already imagine many will integrate your speech-to-speech pipeline with avatar or robot embodiments, where lip sync will be crucial.
To support ... | https://github.com/huggingface/speech-to-speech/issues/37 | open | [] | 2024-08-22T21:32:47Z | 2024-09-09T17:16:45Z | null | fabiocat93 |
pytorch/TensorRT | 3,115 | ❓ [Question] JetPack 6.0 | ## ❓ Question
<!-- Your question -->
i'd like to use torch_tensorrt w/ JetPack 6.0, but from `setup.py`, it seems like latest supported version is JetPack 5.0 https://github.com/pytorch/TensorRT/blob/main/setup.py#L147-L164
## What you have already tried
1. added JetPack 6.0 to setup.py, setting `JETPACK_VERSIO... | https://github.com/pytorch/TensorRT/issues/3115 | closed | [
"question"
] | 2024-08-22T17:52:45Z | 2024-08-26T17:11:33Z | null | patrick-botco |
pytorch/TensorRT | 3,114 | ❓ [Question] Revisit the argument types of normalization converters | ## ❓ Question
https://github.com/pytorch/TensorRT/pull/3099#issuecomment-2303600863
## What you have already tried
<!-- A clear and concise description of what you have already done. -->
## Environment
> Build information about Torch-TensorRT can be found by turning on debug messages
- PyTorch Versio... | https://github.com/pytorch/TensorRT/issues/3114 | open | [
"question"
] | 2024-08-22T16:17:01Z | 2024-08-22T18:04:10Z | null | peri044 |
huggingface/huggingface_hub | 2,480 | How to use the HF Nvidia NIM API with the HF inference client? | ### Describe the bug
We recently introduced the [Nvidia NIM API](https://huggingface.co/blog/inference-dgx-cloud) for selected models. The recommended use is via the OAI client like this (with a specific fine-grained token for an enterprise org):
```py
from openai import OpenAI
client = OpenAI(
base_url... | https://github.com/huggingface/huggingface_hub/issues/2480 | closed | [
"bug"
] | 2024-08-22T12:32:16Z | 2024-08-26T12:45:55Z | null | MoritzLaurer |
huggingface/transformers.js | 896 | How to use this model: Xenova/bge-reranker-base | ### Question
I see that it supports transformers.js, but I can't find the instructions for use. Please help me with using it. | https://github.com/huggingface/transformers.js/issues/896 | closed | [
"question"
] | 2024-08-22T07:33:42Z | 2024-08-29T00:12:52Z | null | gy9527 |
pytorch/pytorch | 134,207 | How to fallback the operators those are unsupported by XLA back to cpu backend? | I'm using the xla backend, and there are some operators that are not supported by the xla backend.
How can I use the backend fallback mechanism to fallback these unsupported operators to CPU backend?
Thanks!
cc @bdhirsh | https://github.com/pytorch/pytorch/issues/134207 | closed | [
"triaged",
"module: xla"
] | 2024-08-22T06:46:21Z | 2024-09-05T06:52:20Z | null | wwtghx |
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