Instructions to use NeuronZero/MRI-Reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuronZero/MRI-Reader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NeuronZero/MRI-Reader") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("NeuronZero/MRI-Reader") model = AutoModelForImageClassification.from_pretrained("NeuronZero/MRI-Reader") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 865e5d8fcd2a0dae3847b71d6d3c8cec3c5a9453c953a874fa09be4e847c77ea
- Size of remote file:
- 348 MB
- SHA256:
- 8350bae2d69a0f757abcec1eb625852f70158166c989f9418b0c6ee529bea0f4
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