Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use gnanakumarkare/identify_animal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gnanakumarkare/identify_animal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gnanakumarkare/identify_animal") 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("gnanakumarkare/identify_animal") model = AutoModelForImageClassification.from_pretrained("gnanakumarkare/identify_animal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
identify_animal
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
cow
dog
pig
rat
- Downloads last month
- 14
Evaluation results
- Accuracyself-reported1.000




