Instructions to use TokyoCute/Petro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use TokyoCute/Petro with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("TokyoCute/Petro") - Notebooks
- Google Colab
- Kaggle
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Download README.md from TokyoCute/Petro: direct link, hf CLI and curl.
- Browser
- Download file 213 Bytes
-
https://huggingface.co/TokyoCute/Petro/resolve/main/README.md
- Command line
-
hf download hf://TokyoCute/Petro/README.md
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curl -L -o README.md https://huggingface.co/TokyoCute/Petro/resolve/main/README.md
213 Bytes
metadata
license: afl-3.0
datasets:
- OpenAssistant/oasst1
language:
- ru
- en
metrics:
- accuracy
- bertscore
- character
- code_eval
library_name: asteroid
pipeline_tag: unconditional-image-generation
tags:
- art