Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
llama-leaderboard
Eval Results (legacy)
Instructions to use osanseviero/llama-alpaca-snake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osanseviero/llama-alpaca-snake with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="osanseviero/llama-alpaca-snake") 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("osanseviero/llama-alpaca-snake") model = AutoModelForImageClassification.from_pretrained("osanseviero/llama-alpaca-snake") - Notebooks
- Google Colab
- Kaggle
llama-alpaca-snake
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
alpaca
llamas
snake
- Downloads last month
- 11
Evaluation results
- Accuracyself-reported0.791


