Instructions to use ekryski/FastVLM-0.5B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ekryski/FastVLM-0.5B-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir FastVLM-0.5B-4bit ekryski/FastVLM-0.5B-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- c5fe479de3940f52337a611079801a2c7c1c34c9945bd63483ae8cae2f8d4497
- Size of remote file:
- 11.4 MB
- SHA256:
- 22a32bc7af1fc17ed370988966140a379f0421b0a508e4ae3fe4bcf7a86644e1
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