Feature Extraction
Transformers
Safetensors
English
usad
automatic-speech-recognition
audio-classification
audio
speech
music
custom_code
Instructions to use MIT-SLS/USAD-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MIT-SLS/USAD-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MIT-SLS/USAD-Base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MIT-SLS/USAD-Base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add link to Github repository
#1
by nielsr HF Staff - opened
This PR improves the model card by adding a link to the Github repository for easier access to the code.
Thank you for your interest! But we aren't planning to open-source the code on GitHub for now.
vectominist changed pull request status to closed