Instructions to use ericvo/scribbl-scan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericvo/scribbl-scan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ericvo/scribbl-scan") 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("ericvo/scribbl-scan") model = AutoModelForImageClassification.from_pretrained("ericvo/scribbl-scan") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
8d5fffc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d82abf7a2d71346cb612147f70e5ce2a52077c8b25ce2fd916a03f850465e346
size 686740357
|