Instructions to use SoulPerforms/Butterfly_image_classification_resnet18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoulPerforms/Butterfly_image_classification_resnet18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SoulPerforms/Butterfly_image_classification_resnet18") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SoulPerforms/Butterfly_image_classification_resnet18", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Rename butterfly_resnet_checkpoint.ckpt to pytorch_model.bin
Browse files
butterfly_resnet_checkpoint.ckpt → pytorch_model.bin
RENAMED
|
File without changes
|