-
My server cannot connect to the Hugging Face website, so I manually downloaded the pretrained model used in the code and placed it in the `img2img-turbo-main` folder. After executing the command `pyth…
-
`torchaudio` is an extension library for PyTorch, designed to facilitate audio processing using the same PyTorch paradigms familiar to users of its tensor library. It provides powerful tools for audio…
-
I try to use the feature extractor on my audiofiles.
My audio files are all 16000Hz and 5 seconds long.
The `waveform.shape[1]` is 80000
```python
input_values = feature_extractor(waveform, sampli…
-
In UNIT4 : Pretrained models for audio classification
We’ll load an official [Audio Spectrogram Transformer](https://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformer) checkpo…
-
Achieving Faster Open-Source Llama3 Serving with SGLang Runtime (vs. TensorRT-LLM, vLLM)
https://lmsys.org/blog/2024-07-25-sglang-llama3/
gemma 2 update
https://huggingface.co/google/gemma-2-2b
…
-
# ComfyUI Error Report
## Error Details
- **Node Type:** Joy_caption_two
- **Exception Type:** ValueError
- **Exception Message:** Unrecognized model in E:\comfyui-auto\models\Joy_caption_two\te…
-
Hello!
I am using the following code:
```
from hear21passt.base import get_basic_model,get_model_passt
import torch
# get the PaSST model wrapper, includes Melspectrogram and the default pre-tr…
-
### Description
The goal is to develop a Tibetan text-to-speech (TTS) model that can convert Tibetan text into Tibetan speech. This project involves training a TTS model using filtered good audio qual…
-
What should I specify as the `model_type` in the JSON file?
from transformers import AutoModel
model = AutoModel.from_pretrained("zxhezexin/openlrm-obj-base-1.1")
ValueError: Unrecogniz…
-
Hi,
I have a dataset including spectrogram photos extracted from audio data, I would love to apply ReLIC on it to see if it helps with my downstream task or not.
Could you please guide me how to app…