Instructions to use Fabiuas/Animal-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fabiuas/Animal-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fabiuas/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("Fabiuas/Animal-classifier") model = AutoModelForImageClassification.from_pretrained("Fabiuas/Animal-classifier") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("Fabiuas/Animal-classifier")
model = AutoModelForImageClassification.from_pretrained("Fabiuas/Animal-classifier")Quick Links
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
bee
beetle
bird
butterfly
camel
cat
caterpillar
crab
dog
fly
grasshopper
horse
lizard
mosquito
mouse
snake
spider
whale
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Evaluation results
- Accuracyself-reported0.948


















# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fabiuas/Animal-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")