Instructions to use Fuat55/brain_model_normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fuat55/brain_model_normal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fuat55/brain_model_normal") 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("Fuat55/brain_model_normal") model = AutoModelForImageClassification.from_pretrained("Fuat55/brain_model_normal") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbb5bec0940b687bd79e62115f9ce484c0d34a1365fd2e91d942cc13e706ff04
- Size of remote file:
- 343 MB
- SHA256:
- ef141e881a7aff9155848d6261fc2361075ec98c179ba4b4f558d47398204315
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