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
Update model card for AI Detect Model
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by nielsr HF Staff - opened
README.md
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datasets:
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- wangkevin02/LMSYS-USP
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language:
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- en
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metrics:
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- accuracy
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# AI Detect Model
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## Model Description
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base_model:
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- allenai/longformer-base-4096
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datasets:
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- wangkevin02/LMSYS-USP
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language:
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- en
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license: mit
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metrics:
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- accuracy
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pipeline_tag: text-classification
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library_name: transformers
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# AI Detect Model
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## Model Description
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