Instructions to use Hello-SimpleAI/chatgpt-qa-detector-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hello-SimpleAI/chatgpt-qa-detector-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hello-SimpleAI/chatgpt-qa-detector-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hello-SimpleAI/chatgpt-qa-detector-roberta") model = AutoModelForSequenceClassification.from_pretrained("Hello-SimpleAI/chatgpt-qa-detector-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1afcd85b1c806a82660670d381e9d4eb835c4960295df15f81cdb4bef4e6326d
- Size of remote file:
- 499 MB
- SHA256:
- b5f111d8bf6262ea1dd04fce99380616b980b1d279c9ffdd8d73641a23572b48
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