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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1018655b6d3ba404be157568e2bd2833602057da132dff91511ab41567670fc
- Size of remote file:
- 694 MB
- SHA256:
- b93891904bfdc8aab433a805eb9820687a4c09d851945fef6c3d3ac8b9fc3278
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.