readme update with link to hugging face weights

README.md

@@ -18,15 +18,15 @@ pip install -e .
 ```
 
 ## Usage
-A pre-trained nnUNet model can be found in the [DLICV-V2 v1.0.0 release](https://github.com/CBICA/DLMUSE/releases/tag/v1.0.0).
+A pre-trained nnUNet model can be found at our [hugging face account](https://huggingface.co/nichart/DLICV) or at [DLICV-V2 v1.0.0 release](https://github.com/CBICA/DLMUSE/releases/tag/v1.0.0).
 Feel free to use it under the package's [licence](LICENCE)
 ```bash
-DLICV -i "input_folder" -o "output_folder" -m "model_path" -f 0 -tr nnUNetTrainer -c 3d_fullres -p nnUNetPlans -d "id" -device cuda/cpu/mps
+DLICV -i "input_folder" -o "output_folder" -d "id" -device cuda/cpu/mps
 ```
 
 You can perform one example test run using the test input folder by running
 ```bash
-DLICV -i test_input/DLICV_test_images -o test_input/DLICV_test_results -m nnunet_results -f 0 -tr nnUNetTrainer -c 3d_fullres -p nnUNetPlans -d 901 -device cuda
+DLICV -i test_input/DLICV_test_images -o test_input/DLICV_test_results -d 901 -device cuda
 ```
 
 ## Contact