Instructions to use Straueri/ReptileAmphibianClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Straueri/ReptileAmphibianClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Straueri/ReptileAmphibianClassification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Straueri/ReptileAmphibianClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download class_names.json from Straueri/ReptileAmphibianClassification: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
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https://huggingface.co/Straueri/ReptileAmphibianClassification/resolve/main/class_names.json
- Command line
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hf download hf://Straueri/ReptileAmphibianClassification/class_names.json
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curl -L -o class_names.json https://huggingface.co/Straueri/ReptileAmphibianClassification/resolve/main/class_names.json
115 Bytes
| ["Chameleon", "Crocodile_Alligator", "Frog", "Gecko", "Iguana", "Lizard", "Salamander", "Snake", "Turtle_Tortoise"] |