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
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https://huggingface.co/TokyoCute/Petro/resolve/main/README.md
- Command line
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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
| 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 | |