Instructions to use davanstrien/autotrain-encyclopedia_britannica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/autotrain-encyclopedia_britannica with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/autotrain-encyclopedia_britannica") 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("davanstrien/autotrain-encyclopedia_britannica") model = AutoModelForImageClassification.from_pretrained("davanstrien/autotrain-encyclopedia_britannica", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92565d1e75ad62a2afc70d74792c21ecda1189265a98525edd101cdb03b86624
- Size of remote file:
- 348 MB
- SHA256:
- 866f2e18499bd50e35748ef9341cb21de3bc2e8d953f1cb6c8c7c48efa403104
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