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
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by AmineTorki - opened
onnx/card_labels_yugiscan.json
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onnx/vit_yugiscan_int8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:bcde9c36204d391f44d11038a5dcd7742b99f1fcbdf26583670be29010cd8bd9
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size 97580672
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