Image Classification
Transformers
PyTorch
ONNX
Safetensors
efficientnet
biology
efficientnet-b2
vision
Instructions to use dennisjooo/Birds-Classifier-EfficientNetB2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dennisjooo/Birds-Classifier-EfficientNetB2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dennisjooo/Birds-Classifier-EfficientNetB2") 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("dennisjooo/Birds-Classifier-EfficientNetB2") model = AutoModelForImageClassification.from_pretrained("dennisjooo/Birds-Classifier-EfficientNetB2") - Notebooks
- Google Colab
- Kaggle
Commit History
Change in folder structure c77d333
Dennis Jonathan commited on
Update README.md 9e6c788
Update README.md daf0177
Renaming the thing 48317c6
Dennis Jonathan commited on
Botched the README 060fad1
Dennis Jonathan commited on
Merge branch 'main' of https://huggingface.co/dennisjooo/Birds-Classifier-EfficientNetB2 7b83bbd
Dennis Jonathan commited on
Added ONNX model cb0fa59
Dennis Jonathan commited on
Lmao wtf did i do 1cf1602
Dennis Jonathan commited on