Instructions to use Falcom/animal-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falcom/animal-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Falcom/animal-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("Falcom/animal-classifier") model = AutoModelForImageClassification.from_pretrained("Falcom/animal-classifier") - Notebooks
- Google Colab
- Kaggle
animal-classifier
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
butterfly
cat
chicken
cow
dog
elephant
horse
sheep
spider
squirrel
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Evaluation results
- Accuracyself-reported1.000









