Instructions to use pleasefill/mesolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use pleasefill/mesolo with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download pleasefill/mesolo --local-dir mesolo
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from pleasefill/mesolo: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
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https://huggingface.co/pleasefill/mesolo/resolve/main/README.md
- Command line
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hf download hf://pleasefill/mesolo/README.md
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curl -L -o README.md https://huggingface.co/pleasefill/mesolo/resolve/main/README.md
168 Bytes
| license: bigscience-bloom-rail-1.0 | |
| datasets: | |
| - HuggingFaceM4/WebSight | |
| language: | |
| - an | |
| metrics: | |
| - character | |
| library_name: mlx | |
| pipeline_tag: robotics | |
| tags: | |
| - music | |