Instructions to use MedMLX/lesiondiffusion-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/lesiondiffusion-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/lesiondiffusion-mlx --local-dir lesiondiffusion-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download conversion.json from MedMLX/lesiondiffusion-mlx: direct link, hf CLI and curl.
- Browser
- Download file 514 Bytes
-
https://huggingface.co/MedMLX/lesiondiffusion-mlx/resolve/main/conversion.json
- Command line
-
hf download hf://MedMLX/lesiondiffusion-mlx/conversion.json
-
curl -L -o conversion.json https://huggingface.co/MedMLX/lesiondiffusion-mlx/resolve/main/conversion.json
514 Bytes
| { | |
| "schema_version": "medmlx.lesiondiffusion.weights.v1", | |
| "converter_version": 1, | |
| "source_ref": "880736e2b8a4d9becdb6594da7f8af6db19d04d1", | |
| "layout": "source_torch_ncdhw", | |
| "stored_dtype": "float32", | |
| "inference_dtype": { | |
| "lmnet": "float32", | |
| "linet": "float16", | |
| "vq": "float16" | |
| }, | |
| "ema": true, | |
| "tensor_file": "model.safetensors", | |
| "tensor_prefixes": { | |
| "linet": "linet.", | |
| "linet_text": "linet_text.", | |
| "lmnet": "lmnet.", | |
| "lmnet_text": "lmnet_text.", | |
| "vq": "vq." | |
| } | |
| } | |