Instructions to use mlx-vision/efficientnet_b7-mlxim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mlx-image
How to use mlx-vision/efficientnet_b7-mlxim with mlx-image:
from mlxim.model import create_model model = create_model(mlx-vision/efficientnet_b7-mlxim)
- MLX
How to use mlx-vision/efficientnet_b7-mlxim with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir efficientnet_b7-mlxim mlx-vision/efficientnet_b7-mlxim
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Upload folder using huggingface_hub
Browse files
README.md
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## How to use
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Note that these models haven't been merged into mlx-image main yet, so it only works in [this fork](https://github.com/lextoumbourou/mlx-image):
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```bash
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pip install
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# pip install mlx-image
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```
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Here is how to use this model for image classification:
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## How to use
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```bash
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pip install mlx-image
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```
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Here is how to use this model for image classification:
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