Instructions to use hubert233/GPTFuzz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hubert233/GPTFuzz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hubert233/GPTFuzz")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hubert233/GPTFuzz") model = AutoModelForSequenceClassification.from_pretrained("hubert233/GPTFuzz") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bbd024254874f5ceea3bf34d02cfcc098a04b0752f3665cac6371a280a08a54
- Size of remote file:
- 1.42 GB
- SHA256:
- 5da5b711ab811664f533d46ed1873a5c279b2f6e64b74e8272c72601ce1a99b3
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