Instructions to use diankymar/kitty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use diankymar/kitty with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
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Download README.md from diankymar/kitty: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
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https://huggingface.co/diankymar/kitty/resolve/main/README.md
- Command line
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hf download hf://diankymar/kitty/README.md
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curl -L -o README.md https://huggingface.co/diankymar/kitty/resolve/main/README.md
168 Bytes
| license: cc0-1.0 | |
| datasets: | |
| - togethercomputer/RedPajama-Data-1T | |
| language: | |
| - es | |
| metrics: | |
| - accuracy | |
| library_name: espnet | |
| pipeline_tag: conversational | |
| tags: | |
| - art | |