Instructions to use mlx-vision/resnet50-mlxim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mlx-image
How to use mlx-vision/resnet50-mlxim with mlx-image:
from mlxim.model import create_model model = create_model("resnet50") - MLX
How to use mlx-vision/resnet50-mlxim with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-vision/resnet50-mlxim --local-dir resnet50-mlxim
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
-
Update README.md
Verified signaturefdd1bde
-
Rename resnet50-IMAGENET1K_V2-mlx.safetensors to model.safetensors
Verified signature8624174 -
Update README.md
Verified signatureba2739d -
Delete resnet50-IMAGENET1K_V2-mlx.npz
Verified signatureaf89778 -
Delete resnet50-IMAGENET1K_V1-mlx.npz
Verified signature48077d7 -
Update README.md
Verified signature34ba5ef
-
Upload resnet50-IMAGENET1K_V2-mlx.safetensors with huggingface_hub
Verified signatureafd9479
-
Upload resnet50-IMAGENET1K_V2-mlx.npz
Verified signature95e3c5f -
Upload resnet50-IMAGENET1K_V1-mlx.npz
Verified signature4b962d1 -
initial commit
Verified signature6e7c754