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
Download ygo_yolo.pt from HichTala/draw2: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/HichTala/draw2/resolve/main/ygo_yolo.pt
- Command line
-
hf download hf://HichTala/draw2/ygo_yolo.pt
-
curl -L -o ygo_yolo.pt https://huggingface.co/HichTala/draw2/resolve/main/ygo_yolo.pt
20 MB
- Xet hash:
- 79a88cc075f6fc2c107e1e00a608cf8943f2884237dacaf94523748e4fc14b3c
- Size of remote file:
- 20 MB
- SHA256:
- 037e71a818fc76c65b63d9d81addb28dae306e1b2754151385b18d3555de9cb7
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