Instructions to use victor/animals-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use victor/animals-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="victor/animals-classifier") 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("victor/animals-classifier") model = AutoModelForImageClassification.from_pretrained("victor/animals-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6efa096880537889029915a294d54c8a89049bb414cabb774b54af3d5ce33309
- Size of remote file:
- 343 MB
- SHA256:
- 5c55a00c9cb251e9c616b8b2729712e2992cf6b717a98d7fd35b4eefcf9aa541
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