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:
- 13a794e7b14512e062949e9781172f2d40763c1a5b319f191beb69c1153caa72
- Size of remote file:
- 499 MB
- SHA256:
- b20a39f927e76e7ba8f546b037b9bf232c1657d7b6d87f923259b818818175de
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