Instructions to use venuv62/autotrained_spoof_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venuv62/autotrained_spoof_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="venuv62/autotrained_spoof_detector") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("venuv62/autotrained_spoof_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3fed2c3be126de8e2c38bddc0d73815497075f9e1590ab97497012a81e9a74c
- Size of remote file:
- 348 MB
- SHA256:
- 372ec7cb600f143b7b09c1acf9f3d29511d6cab216eb6a1c8050629fcd6c2ab7
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