Instructions to use andy-0v0/fancy-animales with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andy-0v0/fancy-animales with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="andy-0v0/fancy-animales") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("andy-0v0/fancy-animales") model = AutoModelForImageClassification.from_pretrained("andy-0v0/fancy-animales", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from andy-0v0/fancy-animales: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/andy-0v0/fancy-animales/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://andy-0v0/fancy-animales/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/andy-0v0/fancy-animales/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 5d4ca43b05a14788217da54c0b7972cb73720200db09bc348cb9a239b1742ee6
- Size of remote file:
- 343 MB
- SHA256:
- f545d6e7bd89b82851fd2bd16801465d7751a916c6a1349c49b06a990e1ebfde
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