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") - Notebooks
- Google Colab
- Kaggle
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# Species Classification in Furry Art
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This model was trained on ~16k images (filtered from ~40k).
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---
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license: mit
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tags:
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- image-classification
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- pytorch
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- furry
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---
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# Species Classification in Furry Art
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This model was trained on ~16k images (filtered from ~40k).
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