Instructions to use Mimi1782/python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use Mimi1782/python with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("Mimi1782/python") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Mimi1782/python: direct link, hf CLI and curl.
- Browser
- Download file 257 Bytes
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https://huggingface.co/Mimi1782/python/resolve/main/README.md
- Command line
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hf download hf://Mimi1782/python/README.md
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curl -L -o README.md https://huggingface.co/Mimi1782/python/resolve/main/README.md
257 Bytes
metadata
license: cc-by-nc-2.0
datasets:
- opendatalab/ChartVerse-SFT-1.8M
language:
- ve
metrics:
- bertscore
base_model:
- moonshotai/Kimi-K2.5
new_version: Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
pipeline_tag: fill-mask
library_name: asteroid
tags:
- biology