Instructions to use Hello-SimpleAI/chatgpt-detector-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hello-SimpleAI/chatgpt-detector-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hello-SimpleAI/chatgpt-detector-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hello-SimpleAI/chatgpt-detector-roberta") model = AutoModelForSequenceClassification.from_pretrained("Hello-SimpleAI/chatgpt-detector-roberta") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0746ba2e55da74e3bda81e379099ae79877904475d032f49d031aa9910b5cf5
- Size of remote file:
- 499 MB
- SHA256:
- de2c7f8f590b0acd7866b18d5561b9d27e82d31a3dc24a8909658d2a8149ed94
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