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")# pip install -U transformers accelerate # 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 exports for the browser demo
#3
by AmineTorki - opened
- onnx/cardnames_onnx.json +0 -0
- onnx/vit_fp16.onnx +3 -0
- onnx/vit_fp32.onnx +3 -0
- onnx/ygo_yolo.onnx +3 -0
onnx/cardnames_onnx.json
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onnx/vit_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca67e39f26d65964feff81072952402462ac636cf457eab6afd75b0c4ef17bc8
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size 193077924
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onnx/vit_fp32.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:b59871f8bf766a0bbbb97756bf4a946d9b92cb044a267641d44932446a6b3c72
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size 385863800
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onnx/ygo_yolo.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:449e0d42cbf8429b170abf44d50cda29beeeb05dc80890102e12c06d6358cf97
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size 39016336
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