Instructions to use duncan93/video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use duncan93/video with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("duncan93/video") - Notebooks
- Google Colab
- Kaggle
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Download README.md from duncan93/video: direct link, hf CLI and curl.
- Browser
- Download file 193 Bytes
-
https://huggingface.co/duncan93/video/resolve/main/README.md
- Command line
-
hf download hf://duncan93/video/README.md
-
curl -L -o README.md https://huggingface.co/duncan93/video/resolve/main/README.md
193 Bytes
metadata
license: openrail
datasets:
- OpenAssistant/oasst1
language:
- an
metrics:
- bleu
library_name: asteroid
pipeline_tag: text-to-video
tags:
- chemistry
- biology
- music
- medical
- code