Instructions to use ashduino101/furry-species-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashduino101/furry-species-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ashduino101/furry-species-classification") 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("ashduino101/furry-species-classification") model = AutoModelForImageClassification.from_pretrained("ashduino101/furry-species-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b22d1ff9559ce872299e719fbda0d1cd212d2cce054682c49240ff857b5a5b08
- Size of remote file:
- 344 MB
- SHA256:
- 6bacc005304ba85b579c4643f4ac3c3413cdc7b01fc7fe74f76c7b1f9a42afd4
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