Instructions to use nateraw/ex-for-evan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/ex-for-evan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nateraw/ex-for-evan") 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("nateraw/ex-for-evan") model = AutoModelForImageClassification.from_pretrained("nateraw/ex-for-evan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a92976d10fce47cfa655880ee2525e0b46b43761693dc7b2c860e01d5d2b7faf
- Size of remote file:
- 343 MB
- SHA256:
- cf6e1bb6a60c05be5708b8dc1c02eb9a49c1b0ebac6e74e2faeaf77c37f2ec2c
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