Instructions to use wangkevin02/AI_Detect_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wangkevin02/AI_Detect_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wangkevin02/AI_Detect_Model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wangkevin02/AI_Detect_Model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e7e3d5a8fb39d7e1be4ead2f6a97e778df64d26c2d03d5a6dd081dc1e7133a4
- Size of remote file:
- 297 MB
- SHA256:
- 082676a88b685b9482f2480c2f3ba2e9f84004e1cc6efd49a845a4f3cfc692f3
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