Instructions to use mlx-vision/regnet_y_800mf-mlxim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mlx-image
How to use mlx-vision/regnet_y_800mf-mlxim with mlx-image:
from mlxim.model import create_model model = create_model(mlx-vision/regnet_y_800mf-mlxim)
- MLX
How to use mlx-vision/regnet_y_800mf-mlxim with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir regnet_y_800mf-mlxim mlx-vision/regnet_y_800mf-mlxim
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b75a0bee0a03a2711b9ddd66ecbfdc2e116b10948fabc911299ad7e3bd76c55
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size 25884720
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