Instructions to use Fuat55/brain_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fuat55/brain_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fuat55/brain_model") 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") model = AutoModelForImageClassification.from_pretrained("Fuat55/brain_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c228ced00a4545437c3d3eeb9bc4ab2301892d090f215f7dbb6eecc04b9975e
- Size of remote file:
- 343 MB
- SHA256:
- 54d8e162b4e81ef1d17137175373a8beaee6a232809ae758733de54525690f28
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