Instructions to use Hello-SimpleAI/chatgpt-detector-roberta-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hello-SimpleAI/chatgpt-detector-roberta-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hello-SimpleAI/chatgpt-detector-roberta-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hello-SimpleAI/chatgpt-detector-roberta-chinese") model = AutoModelForSequenceClassification.from_pretrained("Hello-SimpleAI/chatgpt-detector-roberta-chinese") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31bd799b18de60fc0d242a12cdddeda320fb0f2a4fba2031d97facb2e485f4d3
- Size of remote file:
- 409 MB
- SHA256:
- cc8297fa2d19c4f5b43bbaa43ab15149e84670f064912a5ba04103c310ff5bf6
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