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/unity-api | 23 | I need to specify text or text_target in text classification | I try calling the api by huggingfaceapi.textclassification("some string", response =>...) but got the error"you need to specify text or text_target". Where can I specify that in my unity C# code? | https://github.com/huggingface/unity-api/issues/23 | open | [
"question"
] | 2024-01-27T19:24:25Z | 2024-01-27T19:24:25Z | null | helenawsu |
huggingface/transformers.js | 543 | Converting a model to onnx using given script is hard(fails most of the time) | ### Question
I have tried to use starcoder model by bundling it using your ONNX script but it failed with some exception.
Model: https://huggingface.co/HuggingFaceH4/starchat-beta
or
https://huggingface.co/bigcode/starcoderbase
logs:
```bash
$ python -m scripts.convert --quantize --model_id HuggingFaceH4/s... | https://github.com/huggingface/transformers.js/issues/543 | open | [
"question"
] | 2024-01-27T07:32:42Z | 2024-01-30T06:48:44Z | null | bajrangCoder |
huggingface/candle | 1,624 | How to run the quantized Solar model? | I am trying to run the Solar model, but I am constantly failing. Here are my attempts:
1. [quantized] example (modified) with the Quantized Solar model (local)
: Failed. It only outputs nonsense that is unrelated to the question.
2. [llama] example with the Quantized Solar model (local)
: Failed. The process ... | https://github.com/huggingface/candle/issues/1624 | open | [] | 2024-01-27T04:57:50Z | 2024-01-27T22:41:12Z | null | 555cider |
huggingface/peft | 1,401 | Where is `self.generation_config`coming from? | https://github.com/huggingface/peft/blob/1c1c7fdaa6e6abaa53939b865dee1eded82ad032/src/peft/peft_model.py#L1136
`self.generation` variable is not initialized in the model, it is also not part of a class up in the inheritance hierarchy.
So I assume it is retrieved from the base model via the implemented `\_\_getattr\... | https://github.com/huggingface/peft/issues/1401 | closed | [] | 2024-01-27T02:02:30Z | 2024-03-11T15:04:29Z | null | simon-lund |
huggingface/transformers.js | 541 | Sharpe Linux-x86 | ### Question
Hi,
Firstly, many thanks for all your work.
My use case is to generate sentence embeddings for semantic matching. I develop on Mac but deploy to AWS Lambda.
Your package runs fine out the box on my Mac but fails to load Sharp on Lambda. I spent a couple of days trying lots of different things (fe... | https://github.com/huggingface/transformers.js/issues/541 | closed | [
"question"
] | 2024-01-26T11:36:05Z | 2024-10-18T13:30:10Z | null | Damibu |
pytorch/pytorch | 118,357 | How to modify this framework to support using CUDA unified memory? | ### 🚀 The feature, motivation and pitch
Hi all,
I am a PyTorch user and use open-sourced GPU-based GNN frameworks based on PyTorch. I want to ask if the latest GPU-based Pytorch support CUDA unified memory allocation for tensors?
I found a PR https://github.com/pytorch/pytorch/pull/106200 has supported this to ... | https://github.com/pytorch/pytorch/issues/118357 | closed | [
"module: cuda",
"triaged",
"module: CUDACachingAllocator"
] | 2024-01-26T03:41:02Z | 2024-02-01T03:41:58Z | null | zlwu92 |
pytorch/vision | 8,232 | Input Norms and Channel Order for EfficientNet | ### 📚 The doc issue
The documentation for all pretrained models lacks clear details regarding the order of color channels for input images, as well as the specific normalization mean and standard deviation values. I am particularly looking for this information in relation to the EfficientNet model.
### Suggest a pot... | https://github.com/pytorch/vision/issues/8232 | closed | [] | 2024-01-25T22:17:07Z | 2024-01-26T10:10:49Z | 2 | ivanstepanovftw |
huggingface/text-generation-inference | 1,487 | How to run docker on a DPO model | ### Discussed in https://github.com/huggingface/text-generation-inference/discussions/1481
<div type='discussions-op-text'>
<sup>Originally posted by **tamanna-mostafa** January 24, 2024</sup>
1. I fine-tuned mistral 7b model with preference data (32k).
2. Then I ran DPO on the fine tuned model with 12k data.
... | https://github.com/huggingface/text-generation-inference/issues/1487 | closed | [] | 2024-01-25T17:11:52Z | 2024-01-31T16:44:32Z | null | tamanna-mostafa |
huggingface/transformers.js | 539 | How can i use this Model? | ### Question
How can i use this Model? https://huggingface.co/shibing624/macbert4csc-base-chinese | https://github.com/huggingface/transformers.js/issues/539 | closed | [
"question"
] | 2024-01-25T13:12:08Z | 2025-10-13T04:58:48Z | null | wfk007 |
huggingface/text-generation-inference | 1,483 | how to pdb text-generation-server | ### System Info
```
2024-01-25T09:10:08.096040Z INFO text_generation_launcher: Runtime environment:
Target: x86_64-unknown-linux-gnu
Cargo version: 1.70.0
Commit sha: 9f18f4c00627e1a0ad696b6774e5ad7ca8f4261c
Docker label: sha-9f18f4c
nvidia-smi:
Thu Jan 25 09:10:08 2024
+--------------------------... | https://github.com/huggingface/text-generation-inference/issues/1483 | closed | [] | 2024-01-25T09:21:32Z | 2024-02-19T07:23:14Z | null | jessiewiswjc |
pytorch/serve | 2,907 | How to use torchserve metrics | ### 📚 The doc issue
When I call curl http://127.0.0.1:8082/metrics, it always returns empty results, even if it is called after model inference. But there is clearly a corresponding log in model_metrics.log. I saw that the previous Issue said that prometheus is currently supported as a plug-in? I would like to ask if... | https://github.com/pytorch/serve/issues/2907 | closed | [] | 2024-01-25T07:50:39Z | 2024-03-20T21:53:20Z | null | pengxin233 |
pytorch/serve | 2,905 | Can i use multiple workers in single GPU? | Thanks for your great project.
I'm newbie and this is my first experience using Torchserve for my project.
I tried to deploy my model using torchserve-gpu.
If I want better performance, I can increase the number of workers.
When processing with a single worker, GPU usage was not high, so I added more workers to... | https://github.com/pytorch/serve/issues/2905 | closed | [
"question",
"triaged"
] | 2024-01-25T01:40:42Z | 2024-01-30T06:15:08Z | null | Twinparadox |
huggingface/datasets | 6,614 | `datasets/downloads` cleanup tool | ### Feature request
Splitting off https://github.com/huggingface/huggingface_hub/issues/1997 - currently `huggingface-cli delete-cache` doesn't take care of cleaning `datasets` temp files
e.g. I discovered having millions of files under `datasets/downloads` cache, I had to do:
```
sudo find /data/huggingface/... | https://github.com/huggingface/datasets/issues/6614 | open | [
"enhancement"
] | 2024-01-24T18:52:10Z | 2024-01-24T18:55:09Z | 0 | stas00 |
huggingface/transformers | 28,663 | How to set stopping criteria in model.generate() when a certain word appear | ### Feature request
stopping criteria in model.generate() when a certain word appear
The word I need to stop the generation when found is : [/SENTENCE]
But the model doesn't generate the word itself, instead, it generates the subwords
[ [/,SEN,TE,NC,E] ]
like this .
corresponding ids from the tokenizer ar... | https://github.com/huggingface/transformers/issues/28663 | closed | [] | 2024-01-23T15:16:38Z | 2024-03-02T08:03:44Z | null | pradeepdev-1995 |
pytorch/TensorRT | 2,618 | ❓ [Question] How to compile a model with A16W8? | Hi Torch-TensorRT team:
I'm wondering how can I compile a model with 8 bit weights, but using 16 bit activations?
Thanks a lot! | https://github.com/pytorch/TensorRT/issues/2618 | open | [
"question"
] | 2024-01-23T12:53:23Z | 2024-01-25T20:47:14Z | null | jiangwei221 |
huggingface/dataset-viewer | 2,333 | Replace TypedDict with dataclass? | Do we want to replace the TypedDict objects with dataclasses?
If so: note that the objects we serialize should be serialized too without any change by orjson, at the price of a small overhead (15% in their example: https://github.com/ijl/orjson#dataclass)
| https://github.com/huggingface/dataset-viewer/issues/2333 | closed | [
"good first issue",
"question",
"refactoring / architecture",
"P2"
] | 2024-01-23T10:49:52Z | 2024-06-19T14:30:53Z | null | severo |
huggingface/optimum | 1,664 | Bitsandbytes integration in ORTModelForCausalLM.from_pretrained() | ### System Info
```shell
optimum==1.17.0.dev0
```
### 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)
##... | https://github.com/huggingface/optimum/issues/1664 | open | [
"bug"
] | 2024-01-23T08:56:45Z | 2024-01-23T08:56:45Z | 0 | pradeepdev-1995 |
pytorch/xla | 6,362 | How to do multi-machine spmd training？ | ## ❓ Questions and Help
At present, I have passed the single-machine spmd training, but I do not know how to run the multi-machine spmd training. Could you give me a running example？
@vanbasten23 | https://github.com/pytorch/xla/issues/6362 | closed | [] | 2024-01-23T03:33:52Z | 2024-03-13T09:21:25Z | null | mars1248 |
pytorch/text | 2,223 | The Future of torchtext | ## ❓ Questions and Help
**Description**
<!-- Please send questions or ask for help here. -->
As of September 2023 development efforts on torchtext has been stopped. I am wondering what's the future plans in this regard. To opt in for hugging face libraries such as tokenizers? Currently without using the torcht... | https://github.com/pytorch/text/issues/2223 | closed | [] | 2024-01-22T20:40:10Z | 2024-03-15T16:18:22Z | 1 | lordsoffallen |
huggingface/peft | 1,382 | How to set a predefined weight for LoRA and the linear layer | Hi,
Thanks for your great job!
I have a question: When adding LoRA on a linear layer, how to set a predefined weight for LoRA and the linear layer, instead of just 0.5 : 0.5 ?
| https://github.com/huggingface/peft/issues/1382 | closed | [] | 2024-01-22T13:24:31Z | 2024-02-06T08:37:49Z | null | quqxui |
huggingface/accelerate | 2,367 | how to prevent accelerate from concatenating tensors in batch? | My `collate_fn` in dataloader returns a list of image tensors with different height and width. After using `accelerator.prepare(model, optimizer, dataloader)`, I noticed that accelerate seems to automatically concatenate the tensors during `for step, batch in enumerate(train_dataloader)` iteration, and the size-mismatc... | https://github.com/huggingface/accelerate/issues/2367 | closed | [] | 2024-01-22T11:26:06Z | 2024-01-23T03:24:08Z | null | feiyangsuo |
pytorch/serve | 2,899 | How torchserve uses grpc in java | ### 📚 The doc issue
I want to use grpc in the java service to call torchserve's model, but I don't seem to have found any relevant documentation.
### Suggest a potential alternative/fix
_No response_ | https://github.com/pytorch/serve/issues/2899 | closed | [] | 2024-01-22T08:54:02Z | 2024-03-20T21:53:35Z | 2 | pengxin233 |
huggingface/trl | 1,264 | How to train the model and ref_model on multiple GPUs with averaging? | For example,I have two RTX 3090 GPUs, and both the model and ref_model are 14 billion parameter models. I need to distribute these two models evenly across the two cards for training.
this is my code,but have an error:
```
"""
CUDA_VISIBLE_DEVICES=0 python Sakura_DPO.py \
--base_model Qwen-14B-Chat \
--re... | https://github.com/huggingface/trl/issues/1264 | closed | [] | 2024-01-22T07:54:18Z | 2024-08-27T16:08:49Z | null | Minami-su |
huggingface/transformers.js | 528 | Preloading / Lazy loading model before generate requested | ### Question
Hi @xenova
I've been looking around for this type of functionality for ages and didn't realize you had this type of front-end inferencing locked down in such awesome fashion on browsers. Brilliant!!!
In the demo at https://xenova.github.io/transformers.js/, the model is loaded one-time when sending... | https://github.com/huggingface/transformers.js/issues/528 | closed | [
"question"
] | 2024-01-20T23:09:13Z | 2024-01-29T23:23:44Z | null | gidzr |
huggingface/sentence-transformers | 2,429 | How to additional special tokens using CrossEncoder? | I am using cross encoder.
I would like add a new special token (e.g., '[EOT]') on top of the pre-trained model & tokenizer (e.g., 'bert-base-uncased').
I am wondering what is the best way to do it? | https://github.com/huggingface/sentence-transformers/issues/2429 | open | [] | 2024-01-20T15:52:39Z | 2024-01-20T16:25:00Z | null | mucun1988 |
pytorch/serve | 2,898 | Low GPU utilization due to CPU-bound preprocessing | I am running torchserve with batch size = 32 and delay = 30ms
My preprocessing is CPU bound and my inference is GPU bound.
The GPU cannot start until the batch is ready on the CPU.
Currently, this leads to a serialized workflow where each stage blocks on the previous one:
* Wait for batch to accumulate in th... | https://github.com/pytorch/serve/issues/2898 | open | [] | 2024-01-20T14:01:30Z | 2024-01-24T05:15:05Z | 2 | assapin |
huggingface/optimum | 1,658 | TextStreamer not supported for ORTCausalLM? | ### System Info
```shell
System: IBM Power10
`5.14.0-362.13.1.el9_3.ppc64le`
OS: RHEL 9.3
Framework versions:
optimum==1.16.2
transformers==4.36.2
torch==2.0.1
onnx==1.13.1
onnxruntime==1.15.1
```
### Who can help?
@JingyaHuang @echarlaix
### Information
- [ ] The official example script... | https://github.com/huggingface/optimum/issues/1658 | closed | [
"bug"
] | 2024-01-20T11:50:11Z | 2024-01-29T12:28:40Z | 1 | mgiessing |
huggingface/optimum | 1,657 | Clarity on the convert.py for a model to ONNX.py.. documentation issue | ### Feature request
I need some help understanding how this script is supposed to be run / implemented?
https://github.com/huggingface/optimum/blob/main/optimum/exporters/onnx/convert.py
Questions:
1. is this already included when I pip install optimum? .. which is implemented using the instructions at:
https:... | https://github.com/huggingface/optimum/issues/1657 | closed | [] | 2024-01-20T04:59:10Z | 2024-02-07T04:13:20Z | 2 | gidzr |
huggingface/candle | 1,608 | How to keep the model loaded in memory? | Hi guys,
I'm trying to setup a local instance of Phi-2 to use it as an autocomplete provider for my text editor.
The problem that I have is that each time I call the command to complete a text, the files have to be retrieved and the model loaded - which is a lot of time wasted for real time autocompletion.
`/.... | https://github.com/huggingface/candle/issues/1608 | open | [] | 2024-01-19T19:16:54Z | 2024-01-20T00:27:22Z | null | tdkbzh |
huggingface/peft | 1,374 | How to activate, and keep frozen, multiple adapters? | Hello all,
I have been working on multiple adapters and part of my project requires that I activate all the loaded adapters. However, they must be frozen. I am running this code:
```python
adapters_items = iter(tqdm.tqdm(adapters.items()))
first_item = next(adapters_items)
model_peft = PeftModel.from_pretraine... | https://github.com/huggingface/peft/issues/1374 | closed | [] | 2024-01-19T11:28:15Z | 2024-02-07T11:13:24Z | null | EricLBuehler |
pytorch/kineto | 857 | Why PyTorch TensorBoard Profiler (Deprecated) | What is the reson to deptecate PyTorch TensorBoard Profiler ?
https://github.com/pytorch/kineto#pytorch-tensorboard-profiler-deprecated | https://github.com/pytorch/kineto/issues/857 | closed | [
"question"
] | 2024-01-19T11:26:43Z | 2024-04-11T08:51:34Z | null | GuWei007 |
huggingface/text-generation-inference | 1,457 | How to use a finetuned model from my local directory | ### System Info
text-generation 0.6.1
### Information
- [ ] Docker
- [X] The CLI directly
### Tasks
- [X] An officially supported command
- [ ] My own modifications
### Reproduction
```
from text_generation import InferenceAPIClient
client = InferenceAPIClient( "/mylocalpath/finetunedmodel")
t... | https://github.com/huggingface/text-generation-inference/issues/1457 | closed | [
"Stale"
] | 2024-01-19T06:18:41Z | 2024-03-10T01:45:51Z | null | pradeepdev-1995 |
huggingface/transformers | 28,598 | what is the correct format of input when fine-tuning GPT2 for text generation with batch input? | ### System Info
- `transformers` version: 4.33.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cpu (False)
- Tensorflow version (GPU?... | https://github.com/huggingface/transformers/issues/28598 | closed | [] | 2024-01-19T06:17:29Z | 2024-01-22T01:49:43Z | null | minmie |
pytorch/xla | 6,331 | How to choose XRT runtime when using Torch/XLA 2.1.0? | The PJRT docs say that setting `XRT_TPU_CONFIG` would choose the XRT runtime, but even when I set it I see the following warnings in the logs, and PJRT gets enabled. My model trains faster on XRT but I'd like to upgrade to 2.1.0. Thanks!
```
WARNING:root:PJRT is now the default runtime. For more information, see ht... | https://github.com/pytorch/xla/issues/6331 | closed | [] | 2024-01-19T02:59:11Z | 2024-01-19T23:56:54Z | null | andrey-klochkov-liftoff |
huggingface/transformers | 28,597 | How to find or create the `model_state_dict.bin` file for the `convert_llava_weights_to_hf.py` script | Hi @younesbelkada,
Following up on the [fix to the LLaVA convert script](https://github.com/huggingface/transformers/pull/28570) and thanks for all the help with the PR!
I encountered some issue with the convert script and wanted to ask about the recommended way to create the `model_state_dict.bin` file specified... | https://github.com/huggingface/transformers/issues/28597 | closed | [] | 2024-01-19T02:38:31Z | 2024-01-22T14:28:20Z | null | isaac-vidas |
huggingface/chat-ui | 708 | Add support for other API endpoints | It would be nice if HuggingChat could be used locally, but calling other remote LLM endpoints other than OpenAI.
For instance, this could be mistral.ai 's API endpoints (same as OpenAI - only difference is model name), or a custom server configured for it.
Perhaps just adding a variable in the .env file defining th... | https://github.com/huggingface/chat-ui/issues/708 | open | [
"support",
"models"
] | 2024-01-18T18:27:27Z | 2024-01-25T17:28:28Z | 4 | fbarbe00 |
pytorch/TensorRT | 2,606 | ❓ [Question] mlp running with torch_tensorrt slower than with inductor？ | ## ❓ Question
I am within the nvcr.io/nvidia/pytorch:23.12-py3 container. The performance of torch_tensorrt is wrose than inductor.
Details:
example code
```python
import torch
import torch_tensorrt
import torch.nn as nn
class MLPBlocks(nn.Module):
def __init__(self, window_dim, hidden_dim):
sup... | https://github.com/pytorch/TensorRT/issues/2606 | open | [
"question"
] | 2024-01-18T11:29:42Z | 2024-01-19T19:27:17Z | null | johnzlli |
huggingface/text-generation-inference | 1,451 | How to run text generation inference locally | ### System Info
I completed the steps for local installation of Text Generation Inference as in here: https://github.com/huggingface/text-generation-inference#local-install
I did all the installation on my local Linux (WSL). The model endpoint that I want to draw inference from is on my EC2. (I trained Mistral 7b mod... | https://github.com/huggingface/text-generation-inference/issues/1451 | closed | [
"Stale"
] | 2024-01-17T20:12:35Z | 2024-02-22T01:44:26Z | null | tamanna-mostafa |
huggingface/diffusers | 6,614 | How to train text_to_image with images which is resolution of 512x768 ? | I want to finetune the sd1.5 with 50k images, all the image is resolution of 512x768. But I got error like this:
`train_text_to_image.py:` error: argument --resolution: invalid int value: '[512,768]'`
so, how to train text_to_image with images which is resolution of 512x768? | https://github.com/huggingface/diffusers/issues/6614 | closed | [] | 2024-01-17T13:51:16Z | 2024-01-25T14:28:01Z | null | lingxuan630 |
huggingface/accelerate | 2,347 | How to load model to specified GPU devices? | I'm trying a large model LLaVA1.5.
I know that if I set the parameter `device_map='auto'` in `LlavaMPTForCausalLM.from_pretrained`, the model will be loaded on all visible GPUs (FSDP).
Now I hope to load LLaVA1.5 on some of the visible GPUs, still in the FSDP mode, and automatically decide device_map like `device... | https://github.com/huggingface/accelerate/issues/2347 | closed | [] | 2024-01-17T09:23:04Z | 2024-02-26T15:06:36Z | null | davidluciolu |
huggingface/transformers | 28,546 | How to use fp32 and qLora to fine-tune models | ### System Info
I'm using transformers version 4.32.0 and I want to fine-tune the Qwen/Qwen-VL-Chat-Int4 model, but my 1080ti GPU doesn't support fp16. When I want to use "training_args.fp16 = False" to modify the parameters, the error "dataclasses.FrozenInstanceError: cannot assign to field fp16" will be reported. I ... | https://github.com/huggingface/transformers/issues/28546 | closed | [] | 2024-01-17T07:16:11Z | 2024-02-26T08:04:39Z | null | guoyunqingyue |
pytorch/pytorch | 117,602 | If I use torch.compile to compile the whole graph，in the my own compiler, how to manage the memory in my own compiler? | ### 🐛 Describe the bug
if I use torch.compile to compile the whole graph，in the my own compiler ，in forward stage，
1.if I enable memory reuse in the forward pass，how the backwards get the activation to calcute the gradient？has there some example in pytorch？
2.if i disable memory reuse，if i enable some op fusion，A o... | https://github.com/pytorch/pytorch/issues/117602 | closed | [
"oncall: pt2"
] | 2024-01-17T02:23:18Z | 2024-01-19T17:55:06Z | null | mollon650 |
huggingface/sentence-transformers | 2,416 | How to specify class weights in model training? | I am having a very imbalanced training dataset. Is there a way I could specify class weights (e.g., class 0: 0.1, class 1: 1) for cross encoder training? | https://github.com/huggingface/sentence-transformers/issues/2416 | closed | [] | 2024-01-16T21:00:27Z | 2024-01-20T15:49:54Z | null | mucun1988 |
huggingface/chat-ui | 697 | Add streaming support for SageMaker endpoints | Would be nice to have support for streaming tokens from sagemaker. here are some ressources from my conversation with @philschmid
### Code sample (Python Code)
```
body = {"inputs": "what is life", "parameters": {"max_new_tokens":400}}
resp = smr.invoke_endpoint_with_response_stream(EndpointName=endpoint_name, B... | https://github.com/huggingface/chat-ui/issues/697 | open | [
"enhancement",
"back"
] | 2024-01-16T10:59:47Z | 2024-01-16T11:00:32Z | 0 | nsarrazin |
huggingface/transformers.js | 522 | Is it possible to fine-tune the hosted pretrained models? | ### Question
Hello,
If we have a large dataset in our domain, can we use it to fine-tune the hosted pretrained models(for example: Xenova/nllb-200-distilled-600M) with optimum? or is it possible to convert our own translation Pytorch model to ONNX which can be compatible with transformer.js? | https://github.com/huggingface/transformers.js/issues/522 | open | [
"question"
] | 2024-01-16T03:55:39Z | 2024-01-16T12:54:53Z | null | lhohoz |
huggingface/datasets | 6,594 | IterableDataset sharding logic needs improvement | ### Describe the bug
The sharding of IterableDatasets with respect to distributed and dataloader worker processes appears problematic with significant performance traps and inconsistencies wrt to distributed train processes vs worker processes.
Splitting across num_workers (per train process loader processes) and... | https://github.com/huggingface/datasets/issues/6594 | open | [] | 2024-01-15T22:22:36Z | 2025-11-10T14:55:20Z | 7 | rwightman |
pytorch/pytorch | 117,490 | What is the next plan of FP8 support in PyTorch? | ### 🚀 The feature, motivation and pitch
Now PyTorch only supports FP8 data type conversion without scaling. The accuracy is not that good.
What is the plan of FP8 support in PyTorch? Will FP8 DelayedScaling from TransformerEngine be taken into account? Thanks!
### Alternatives
_No response_
### Additional conte... | https://github.com/pytorch/pytorch/issues/117490 | closed | [
"module: docs",
"oncall: quantization",
"triaged",
"actionable",
"module: floatx (formerly float8)"
] | 2024-01-15T10:02:37Z | 2024-01-26T01:48:45Z | null | yanbing-j |
huggingface/alignment-handbook | 103 | Does QLora DPO Training support reference model? | Hello! Thanks for your awesome work!
I meet an issue when I run dpo with qlora. I notice there is a setting:
```
if model_args.use_peft is True:
ref_model = None
ref_model_kwargs = None
```
I also notice that the `use_peft` is set to true only in config_qlora.yaml. This means if we use qlora to... | https://github.com/huggingface/alignment-handbook/issues/103 | open | [] | 2024-01-15T09:22:32Z | 2024-01-15T09:27:08Z | 0 | Harry-mic |
huggingface/swift-coreml-diffusers | 91 | How to import new .SAFETENSORS model? | How can I import a safetensor formatted model into the diffusers app?
I tried copying the safetensor file to the folder loaded by the dropdown menu. But when I relaunch the app, it doesn't show the new model in the menu. | https://github.com/huggingface/swift-coreml-diffusers/issues/91 | open | [] | 2024-01-15T08:24:53Z | 2024-07-07T09:03:27Z | null | mcandre |
huggingface/candle | 1,585 | Extension request: How to construct Tensor for n-dimensional Vec | How do I best create a Tensor from a &Vec<Vec<u8>> type? Everything above 1D is quite hard to manage for index based value setting. | https://github.com/huggingface/candle/issues/1585 | closed | [] | 2024-01-14T17:46:57Z | 2025-11-23T20:22:09Z | null | BDUG |
huggingface/nanotron | 21 | Save checkpoint before terminating the training run | Why don't we save a model checkpoint before terminating the training run? [[link]](https://github.com/huggingface/nanotron/blob/fd99571e3769cb1876d5c9d698b512e85a6e4896/src/nanotron/trainer.py#L429)
<img width="769" alt="image" src="https://github.com/huggingface/nanotron/assets/22252984/9eb78431-4df9-4795-8ac7-6947... | https://github.com/huggingface/nanotron/issues/21 | closed | [
"question"
] | 2024-01-13T11:28:20Z | 2024-01-13T11:28:54Z | null | xrsrke |
huggingface/accelerate | 2,331 | How to share non-tensor data between processes? | I am running a training on 2 GPUs on the same machine. I need a way to share some float values and maybe dicts between the two processes. I saw that there is a `gather` method, but this only works for tensors.
Is there any way to do inter-process communication that is not directly related to the training?
EDIT: W... | https://github.com/huggingface/accelerate/issues/2331 | closed | [] | 2024-01-12T19:13:27Z | 2024-01-16T11:36:34Z | null | simonhessner |
huggingface/transformers | 28,476 | How to avoid the peak RAM memory usage of a model when I want to load to GPU | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.10.201-191.748.amzn2.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.26.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (True)
- T... | https://github.com/huggingface/transformers/issues/28476 | closed | [] | 2024-01-12T11:39:52Z | 2024-02-12T08:08:17Z | null | JoanFM |
huggingface/datasets | 6,584 | np.fromfile not supported | How to do np.fromfile to use it like np.load
```python
def xnumpy_fromfile(filepath_or_buffer, *args, download_config: Optional[DownloadConfig] = None, **kwargs):
import numpy as np
if hasattr(filepath_or_buffer, "read"):
return np.fromfile(filepath_or_buffer, *args, **kwargs)
else:
... | https://github.com/huggingface/datasets/issues/6584 | open | [] | 2024-01-12T09:46:17Z | 2024-01-15T05:20:50Z | 6 | d710055071 |
pytorch/audio | 3,725 | Resampling at arbitrary time steps | ### 🚀 The feature
Currently, `torchaudio.functional.resample` can only resample at regular time points and the period is determined by `orig_freq` and `new_freq`.
Is it possible to resample at arbitrary time steps?
So rather than specifying a resampling ratio, we specify a array of time steps.
### Motivation, pi... | https://github.com/pytorch/audio/issues/3725 | open | [] | 2024-01-12T09:20:10Z | 2024-01-16T18:52:40Z | 5 | pfeatherstone |
huggingface/distil-whisper | 73 | I want to confirm how the knowledge organization is implemented？ | I don't quite understand how knowledge distillation is implemented here.
Whisper is trained on 680,000 hours of untagged data for autoregression. According to the content of the fourth section of the paper, our model is trained on 21,170 hours of data with pseudo-labels generated by Whisper, with the first and 32nd... | https://github.com/huggingface/distil-whisper/issues/73 | open | [] | 2024-01-12T07:43:21Z | 2024-01-17T16:57:31Z | null | hxypqr |
huggingface/transformers.js | 516 | How to access attentions matrix for MarianMT? | ### Question
Hey, I've been trying to access the attentions output by the MarianMT like so (please excuse the unorthodox config argument, tidying up is next on my todo list):
```
const model_name = "Xenova/opus-mt-en-fr";
const tokenizer = await MarianTokenizer.from_pretrained(model_name, {
config: {
... | https://github.com/huggingface/transformers.js/issues/516 | open | [
"question"
] | 2024-01-11T20:16:42Z | 2024-01-15T08:21:17Z | null | DaveTJones |
huggingface/text-generation-inference | 1,437 | How to run text-generation-benchmark without the graph and get the output data into a csv file or a json file? | ### Feature request
text-generation-benchmark has been an amazing tool for understanding the model deployments better. Is there a way where we can run this without generating the graph and get the results in a csv format?
### Motivation
Motivation is that we want to use this tool with another program which gets the ... | https://github.com/huggingface/text-generation-inference/issues/1437 | closed | [
"Stale"
] | 2024-01-11T15:33:37Z | 2024-02-17T01:44:18Z | null | pranavthombare |
huggingface/transformers.js | 515 | ONNX optimisations for edge deployment | ### Question
Hello, I'm exploring if I can extract any more performance from my deployment of transformers.js. Appreciate the answer to this is nuanced and best answered by profiling, but would value opinions of experts that have walked this path before using this lib.
In my specific use case I know that I will a... | https://github.com/huggingface/transformers.js/issues/515 | closed | [
"question"
] | 2024-01-11T13:49:59Z | 2025-10-13T04:59:32Z | null | georgedavies019 |
pytorch/serve | 2,894 | How can I implement batch inference in my model? | ### 📚 The doc issue
I read the docs, and I see this sentence:
> The frontend then tries to aggregate the batch-size number of requests and send it to the backend.
How does it work?
In my case, my batch_size is 4 and max_batch_delay is 5000. I sent 2 request simultaneously to torchserve, but in my handler l... | https://github.com/pytorch/serve/issues/2894 | closed | [] | 2024-01-11T10:39:58Z | 2024-01-12T05:28:13Z | 5 | steelONIONknight |
huggingface/alignment-handbook | 98 | Is QLoRA better than finetuning? | The results reported in https://github.com/huggingface/alignment-handbook/pull/88 suggest that QLoRA is better for both SFT and DPO. Is this accurate, and have people seen this happen in any other settings? | https://github.com/huggingface/alignment-handbook/issues/98 | open | [] | 2024-01-10T21:04:11Z | 2024-01-10T21:04:11Z | 0 | normster |
huggingface/transformers.js | 514 | Is it possible to use adapters from the hub? | ### Question
Hi, would it be possible to use adapters on top of a model using the js library? | https://github.com/huggingface/transformers.js/issues/514 | open | [
"question"
] | 2024-01-10T20:57:03Z | 2024-01-11T16:01:11Z | null | vabatta |
huggingface/setfit | 468 | How effective is to use your own pre-trained ST model based on NLI dataset ? | Hi !
I'm interested to use SetFit for classify text extracted from hotel reviews (booking, tripadvisor, etc) but I would to add domain knowledge to my Sentence Transfomers body.
For example, this [paper](https://arxiv.org/abs/2202.01924) use a Sentence Transformers model trained on a custom NLI dataset (RNLI for ... | https://github.com/huggingface/setfit/issues/468 | closed | [] | 2024-01-10T19:25:09Z | 2024-02-09T14:55:46Z | null | azaismarc |
huggingface/transformers.js | 512 | What do you all think about having a "Transformers.js Community" in Hugging Face? | ### Question
After checking how [MLX Community on Hugging Face](https://huggingface.co/mlx-community) is working, I thought it could be a good idea to have one for Transformers.js.
One of the key benefits of a community is "multiple curators": anyone in the community would have the ability to edit the repositories,... | https://github.com/huggingface/transformers.js/issues/512 | closed | [
"question"
] | 2024-01-10T16:03:51Z | 2025-05-10T21:06:54Z | null | felladrin |
huggingface/candle | 1,552 | How to pass the attention_mask to Bert model in examples? | I am trying to run `shibing624/text2vec-base-chinese` with candle, and the encoder returns `input_ids`, `attention_mask`, `token_id_types`, but there are only two params of BertModel in candle.
https://github.com/huggingface/candle/blob/main/candle-examples/examples/bert/main.rs#L170
```python
from transformers ... | https://github.com/huggingface/candle/issues/1552 | closed | [] | 2024-01-10T11:57:55Z | 2024-01-10T12:38:54Z | null | lz1998 |
huggingface/sentence-transformers | 2,400 | New release of library? | I was wondering when you will be releasing a new version of the library that includes the latest changes in the main branch? We are eagerly awaiting one inorder to consume the fix for this issue https://github.com/UKPLab/sentence-transformers/issues/1800 | https://github.com/huggingface/sentence-transformers/issues/2400 | closed | [
"question"
] | 2024-01-09T20:42:53Z | 2024-01-29T10:00:33Z | null | vineetsajuTR |
pytorch/serve | 2,892 | Setting log level of handler | ### 📚 The doc issue
I need to set the logging level of handler to debug, i wanna see all the logs (of torch also). The docs dont mention much other than setting the log level for torch serve itself (log4j ones).
I tried setting the config inside the handler, but it didnt work
```python
logging.basicConfig(leve... | https://github.com/pytorch/serve/issues/2892 | closed | [
"question",
"triaged"
] | 2024-01-09T18:04:49Z | 2024-06-07T21:39:33Z | null | hariom-qure |
huggingface/peft | 1,334 | when we use inject_adapter_in_model method to inject the adapters directly into a PyTorch model, how to merge the Lora weight with the base model in the inference stage? | https://github.com/huggingface/peft/issues/1334 | closed | [] | 2024-01-09T12:30:52Z | 2024-02-17T15:03:59Z | null | mikiyukio | |
huggingface/datasets | 6,570 | No online docs for 2.16 release | We do not have the online docs for the latest minor release 2.16 (2.16.0 nor 2.16.1).
In the online docs, the latest version appearing is 2.15.0: https://huggingface.co/docs/datasets/index
![Screenshot from 2024-01-09 08-43-08](https://github.com/huggingface/datasets/assets/8515462/83613222-867f-41f4-8833-7a4a765... | https://github.com/huggingface/datasets/issues/6570 | closed | [
"bug",
"documentation"
] | 2024-01-09T07:43:30Z | 2024-01-09T16:45:50Z | 7 | albertvillanova |
pytorch/xla | 6,274 | Inconsistent behaviour with `xm.xrt_world_size()` and/or `xm.get_xla_supported_devices()` | ## 🐛 Bug
I noticed that when I execute some code (see further below) on a TPU VM v3-8 (inside a Python venv 3.10.12 + torch 2.1.2+cu121 + torch_xla 2.1.0) uncommenting each time either the `xm.xrt_world_size()` part (**Output 1**) or `xm.get_xla_supported_devices()` (**Output 2**) or none of them - both commented ... | https://github.com/pytorch/xla/issues/6274 | closed | [
"question",
"distributed"
] | 2024-01-09T05:45:42Z | 2025-04-23T14:42:27Z | null | h-sellak |
huggingface/text-generation-inference | 1,415 | How to use local Medusa head? | It is said that Medusa can significantly accelerate inference speed. During my attempts to utilize it, I have observed that it does not support the use of local Medusa config and head. The code fragment I discovered that pertains to this functionality is as follows, which I have modified. However, I do not comprehend t... | https://github.com/huggingface/text-generation-inference/issues/1415 | closed | [] | 2024-01-09T03:22:47Z | 2024-01-10T17:36:23Z | null | eurus-ch |
huggingface/transformers | 28,388 | How to use an efficient encoder as shared EncoderDecoderModel? | ### Feature request
Efficient encoder like destilBERT, ALBERT or ELECTRA aren't supported as decoder of the EncoderDecoderModel and so they can't be shared as encoder and decoder.
### Motivation
Warm-starting shared models is a powerful way to build transformer models. Yet the efficient models can't be used.
### Yo... | https://github.com/huggingface/transformers/issues/28388 | open | [
"Feature request"
] | 2024-01-08T11:43:05Z | 2024-01-08T12:35:24Z | null | Bachstelze |
pytorch/kineto | 854 | Is Kineto planning to support backend extensions? | Hello, there is 'PrivateUse1' in pytorch to support backend integration. Will Kineto provide similar features? | https://github.com/pytorch/kineto/issues/854 | closed | [
"question"
] | 2024-01-08T03:19:53Z | 2024-04-23T15:21:34Z | null | fwenguang |
huggingface/alignment-handbook | 92 | Is there anyway that I can use learning rate warm-up during the training ? | I am using this repo to:
1. Continual Pre-training
2. SFT
3. DPR
For stage 1, I want to use a learning rate warm-up. | https://github.com/huggingface/alignment-handbook/issues/92 | closed | [] | 2024-01-07T21:07:25Z | 2024-01-10T06:48:52Z | 1 | shamanez |
huggingface/alignment-handbook | 91 | how to use dpo without flash-attention | Is there any flash-attention free version? | https://github.com/huggingface/alignment-handbook/issues/91 | open | [] | 2024-01-07T16:27:08Z | 2024-02-06T19:51:38Z | null | Fu-Dayuan |
huggingface/accelerate | 2,312 | Seeking for Help: how to work deepspeed zero stage 3 with quantized model? | Hi, I would like to conduct dpo training on my 2 a6000 (48GB) gpus based on this project (https://github.com/allenai/open-instruct). Specifically, the model was based on qlora and reference model was based on quantized one. I would like to utilize the deepspeed zero stage 3 to accelerate training time.
During the t... | https://github.com/huggingface/accelerate/issues/2312 | closed | [] | 2024-01-07T09:44:28Z | 2024-01-11T11:01:31Z | null | grayground |
huggingface/datasets | 6,565 | `drop_last_batch=True` for IterableDataset map function is ignored with multiprocessing DataLoader | ### Describe the bug
Scenario:
- Interleaving two iterable datasets of unequal lengths (`all_exhausted`), followed by a batch mapping with batch size 2 to effectively merge the two datasets and get a sample from each dataset in a single batch, with `drop_last_batch=True` to skip the last batch in case it doesn't ha... | https://github.com/huggingface/datasets/issues/6565 | closed | [] | 2024-01-07T02:46:50Z | 2025-03-08T09:46:05Z | 2 | naba89 |
huggingface/transformers.js | 505 | How do I use WebGL as executionProvider? | ### Question
```js
export const executionProviders = [
// 'webgpu',
'wasm'
];
```
I looked at src/backends/onnx.js and noticed that there was no webgl in the executionProviders.
Is there a way to use WebGL as executionProvider? | https://github.com/huggingface/transformers.js/issues/505 | closed | [
"question"
] | 2024-01-06T19:16:36Z | 2024-10-18T13:30:09Z | null | kwaroran |
pytorch/executorch | 1,548 | How to implement the "aten.mul.Scalar" for Qualcomm backend | The second arg of "aten.mul.Scalar" is const scalar value, such as float: 0.5f.
The function define_tensor/define_scalar/define_value of NodeVisitor should get the arg "node" as input, but how can I define one node like torch.fx.Node for const scalar value? | https://github.com/pytorch/executorch/issues/1548 | closed | [
"partner: qualcomm",
"triaged"
] | 2024-01-06T09:12:19Z | 2024-01-09T02:18:37Z | null | czy2014hust |
pytorch/pytorch | 116,922 | How to adapt to `at::scaled_dot_product_attention`'s routing logic for a third-party cuda-like device? | https://github.com/pytorch/pytorch/blob/f24bba1624a8bb5c920833b18fc6162db084ca09/aten/src/ATen/native/transformers/attention.cpp#L635-L642
Now, I am adapting `at::scaled_dot_product_attention` to a specific type of cuda-like device and encounters a problem.
In `at::scaled_dot_product_attention`, it will choose a pa... | https://github.com/pytorch/pytorch/issues/116922 | closed | [] | 2024-01-06T07:28:43Z | 2024-01-15T02:13:30Z | null | drslark |
huggingface/diffusers | 6,474 | how to use xformers | Maybe this is a relatively low-level question, but what always bothers me is how does Xformer run when running SD? Or can it be accelerated by default after installing this library? Thank you all for answering your questions | https://github.com/huggingface/diffusers/issues/6474 | closed | [] | 2024-01-06T03:34:16Z | 2024-01-11T03:38:19Z | null | babyta |
pytorch/serve | 2,890 | Difference between `Custom handler with module level entry point` and `Custom handler with class level entry point` | ### 📚 The doc issue
# Not an issue
What is the difference between `Custom handler with module level entry point` and `Custom handler with class level entry point`?
Can you give me any examples?
Thanks for help
### Suggest a potential alternative/fix
_No response_ | https://github.com/pytorch/serve/issues/2890 | closed | [
"question",
"triaged"
] | 2024-01-05T20:45:25Z | 2024-01-25T05:07:51Z | null | IonBoleac |
huggingface/datasets | 6,561 | Document YAML configuration with "data_dir" | See https://huggingface.co/datasets/uonlp/CulturaX/discussions/15#6597e83f185db94370d6bf50 for reference | https://github.com/huggingface/datasets/issues/6561 | open | [
"documentation"
] | 2024-01-05T14:03:33Z | 2025-08-07T14:57:58Z | 6 | severo |
pytorch/TensorRT | 2,579 | ❓ [Question] Support for layers with Custom C++ and CUDA Extensions | ## ❓ Question
Support for layers with Custom C++ and CUDA Extensions
## What you have already tried
Can I convert the LLTM class in directory `cuda` of https://github.com/pytorch/extension-cpp (below) into a tensorrt engine through Torch-TensorRT?
I tried the code below:
```lltm.py
import math
from torch imp... | https://github.com/pytorch/TensorRT/issues/2579 | closed | [
"question"
] | 2024-01-05T07:25:23Z | 2024-01-15T06:22:05Z | null | Siyeong-Lee |
pytorch/TensorRT | 2,577 | Can please somebody give a clear explanation of how to install torch-tensorrt on Windows? | ## ❓ Question
Hello,
I've encountered problems installing torch-tensorrt on Windows 10
No matter how I try, how many sources I look up to, there is no clear explanation on how to do everything. The documentation is vague, and because I am used to working with python code, which does everything for you, that is... | https://github.com/pytorch/TensorRT/issues/2577 | closed | [
"question"
] | 2024-01-05T02:52:01Z | 2025-12-02T18:12:43Z | null | ninono12345 |
huggingface/sentence-transformers | 2,397 | Does finetuning a cross-encoder yield prediction labels and not similarity scores? | Hi,
This is less of a coding issue and more of a conceptual question. I have binary labels for similarity and dissimilarity while training a cross-encoder; so its a binary classification task. The pretrained cross-encoder has a float score, most of the time around .5. After finetuning, the models only predict a deci... | https://github.com/huggingface/sentence-transformers/issues/2397 | closed | [
"question"
] | 2024-01-04T21:01:44Z | 2024-01-09T17:53:17Z | null | FDSRashid |
huggingface/text-generation-inference | 1,403 | How to load llama-2 thru Client | ### System Info
Hi there, text_generation.__version__ = 0.6.0
### Information
- [ ] Docker
- [X] The CLI directly
### Tasks
- [ ] An officially supported command
- [ ] My own modifications
### Reproduction
I am trying to load llama-2 model thru Client
```
from text_generation import Client
model_endpoin... | https://github.com/huggingface/text-generation-inference/issues/1403 | closed | [] | 2024-01-04T17:25:59Z | 2024-01-05T16:01:56Z | null | yanan1116 |
huggingface/transformers | 28,343 | How to log custom value? | I want to log some info to `{'loss': 2.5234, 'learning_rate': 1.0344827586206896e-06, 'epoch': 0.0}`
how can i do that?
like: {'loss': 2.5234, 'learning_rate': 1.0344827586206896e-06, 'epoch': 0.0, 'version': 'v1'} | https://github.com/huggingface/transformers/issues/28343 | closed | [] | 2024-01-04T12:28:43Z | 2024-01-07T13:07:22Z | null | xmy0916 |
huggingface/transformers.js | 499 | An error occurred during model execution: "RangeError: offset is out of bounds". | ### Question
Hello - having an issue getting this code to run in the browser. Using `Xenova/TinyLlama-1.1B-Chat-v1.0` on `"@xenova/transformers": "^2.13.2"`
It runs perfectly in node.
```ts
import { pipeline } from '@xenova/transformers';
console.log('Loading model...');
const generator = await pipeline('... | https://github.com/huggingface/transformers.js/issues/499 | closed | [
"question"
] | 2024-01-03T19:55:45Z | 2024-10-18T13:30:09Z | null | wesbos |
huggingface/transformers.js | 497 | Cross Encoder | ### Question
I'm trying to run this pre-trained Cross Encoder model ([MS Marco TinyBERT](https://huggingface.co/cross-encoder/ms-marco-TinyBERT-L-2-v2)) not available in Transformers.js.
I've managed to convert it using the handy script, and I'm successfully running it with the "feature-extraction" task:
```js
co... | https://github.com/huggingface/transformers.js/issues/497 | closed | [
"question"
] | 2024-01-03T16:24:37Z | 2024-03-01T00:11:31Z | null | achrafash |
huggingface/autotrain-advanced | 448 | What is the difference between autotrain and kohya_ss? | What is the difference between autotrain and kohya_ss?
| https://github.com/huggingface/autotrain-advanced/issues/448 | closed | [
"stale"
] | 2024-01-03T16:18:58Z | 2024-01-22T15:01:45Z | null | loboere |
pytorch/executorch | 1,527 | How to build qnn_executor_runner for linux-gcc9.3? | My requirements are that I want to compile the model on x86 host and run the inference on linux device using Qualcomm AI Engine, e.g. SA8295. So how to build `qnn_executor_runner` for linux-gcc9.3 not android? thanks~
the libQnnHtp.so is different in qnn.
```
$ find . -name libQnnHtp.so
./lib/aarch64-oe-linux-gcc9... | https://github.com/pytorch/executorch/issues/1527 | closed | [
"partner: qualcomm",
"triaged"
] | 2024-01-03T09:04:08Z | 2024-01-29T07:49:12Z | null | huangzhiyuan |
huggingface/optimum | 1,622 | device set bug | ### System Info
```shell
optimum 1.16.1
```
### Who can help?
@philschmid
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details b... | https://github.com/huggingface/optimum/issues/1622 | open | [
"bug"
] | 2024-01-03T09:01:16Z | 2024-01-09T10:17:45Z | 1 | Yuang-Deng |
pytorch/pytorch | 116,687 | How to install pytorch on | https://github.com/pytorch/pytorch/issues/116687 | closed | [] | 2024-01-03T08:12:33Z | 2024-01-03T08:42:38Z | null | Joseph513shen | |
huggingface/transformers.js | 494 | in-browser inference slower than node inference to be expected? | ### Question
i noticed that i get much higher performance when i run inference in node vs in the browser (latest chrome, m2 mac, ). is that generally to be expected? for context - i'm creating embeddings for chunks of text using the gte-small model.
thank you! | https://github.com/huggingface/transformers.js/issues/494 | closed | [
"question"
] | 2024-01-03T04:26:47Z | 2024-08-27T23:53:36Z | null | carlojoerges |
huggingface/optimum | 1,621 | Cannot convert sentence transformer model properly | ### System Info
```shell
Optimum Version = 1.16.1
```
### Who can help?
@michaelbenayoun
@fxmarty
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own tas... | https://github.com/huggingface/optimum/issues/1621 | closed | [
"bug"
] | 2024-01-02T12:08:07Z | 2024-01-12T15:26:21Z | 4 | leodalcin |
huggingface/alignment-handbook | 87 | How can I config `loss_type`? | I want to change the **loss_type** into KTO or something else to test but I can't. Please show me the way. Thank you. | https://github.com/huggingface/alignment-handbook/issues/87 | closed | [] | 2024-01-02T11:54:34Z | 2024-01-10T13:41:19Z | 2 | hahuyhoang411 |
pytorch/examples | 1,208 | add examples/siamese_network with triplet loss example | <!--
Thank you for suggesting an idea to improve pytorch/examples
Please fill in as much of the template below as you're able.
-->
## Is your feature request related to a problem? Please describe.
Can you please provide an example of Siamese network training / testing with triplet loss such that it can be used... | https://github.com/pytorch/examples/issues/1208 | open | [] | 2024-01-01T19:19:35Z | 2024-01-01T19:19:35Z | 0 | pax7 |
huggingface/datasets | 6,548 | Skip if a dataset has issues | ### Describe the bug
Hello everyone,
I'm using **load_datasets** from **huggingface** to download the datasets and I'm facing an issue, the download starts but it reaches some state and then fails with the following error:
Couldn't reach https://huggingface.co/datasets/wikimedia/wikipedia/resolve/4cb9b0d719291f1a10... | https://github.com/huggingface/datasets/issues/6548 | open | [] | 2023-12-31T12:41:26Z | 2024-01-02T10:33:17Z | 1 | hadianasliwa |
huggingface/transformers.js | 491 | Running tests locally fail | ### Question
When I git clone to my Mac, and run tests, I get a lot of errors:
```
● Models › Loading different architecture types › gpt2 (GPT2Model)
Could not locate file: "https://huggingface.co/gpt2/resolve/main/tokenizer_config.json".
239 |
240 | const message = ERROR_MAPPING[statu... | https://github.com/huggingface/transformers.js/issues/491 | closed | [
"question"
] | 2023-12-30T02:12:35Z | 2024-10-18T13:30:11Z | null | sroussey |
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