Instructions to use HichTala/draw2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HichTala/draw2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="HichTala/draw2")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("HichTala/draw2") model = AutoModelForImageClassification.from_pretrained("HichTala/draw2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add ONNX yugiscan model for the browser demo
#4
by AmineTorki - opened
Add ONNX yugiscan model for the browser demo
Source : LoganCRC/yugiscan-models
Files
| file | size | notes |
|---|---|---|
onnx/vit_yugiscan_int8.onnx |
95 MB | ViT classifier |
onnx/card_labels_yugiscan.json |
563 KB | card labels |
HichTala changed pull request status to merged