Instructions to use Footypoolrobinsdog/Music with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use Footypoolrobinsdog/Music 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 Footypoolrobinsdog/Music: direct link, hf CLI and curl.
- Browser
- Download file 264 Bytes
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https://huggingface.co/Footypoolrobinsdog/Music/resolve/main/README.md
- Command line
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hf download hf://Footypoolrobinsdog/Music/README.md
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curl -L -o README.md https://huggingface.co/Footypoolrobinsdog/Music/resolve/main/README.md
264 Bytes
| license: openrail | |
| datasets: | |
| - Congliu/Chinese-DeepSeek-R1-Distill-data-110k | |
| language: | |
| - ru | |
| metrics: | |
| - character | |
| base_model: | |
| - microsoft/OmniParser-v2.0 | |
| new_version: microsoft/OmniParser-v2.0 | |
| pipeline_tag: audio-to-audio | |
| library_name: espnet | |
| tags: | |
| - climate | |