Instructions to use vivekRahul/animal_classifier_huggingface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vivekRahul/animal_classifier_huggingface with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vivekRahul/animal_classifier_huggingface") 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("vivekRahul/animal_classifier_huggingface") model = AutoModelForImageClassification.from_pretrained("vivekRahul/animal_classifier_huggingface") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("vivekRahul/animal_classifier_huggingface")
model = AutoModelForImageClassification.from_pretrained("vivekRahul/animal_classifier_huggingface")Quick Links
animal_classifier_huggingface
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
cat
dog
elephant
lion
tiger
- Downloads last month
- 6
Evaluation results
- Accuracyself-reported0.991





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