Instructions to use HackMIT/double-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HackMIT/double-agent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HackMIT/double-agent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HackMIT/double-agent") model = AutoModelForSequenceClassification.from_pretrained("HackMIT/double-agent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ff85af8b474f1dcf56f8106bd7cb29b2f7269c6a75180614d2128f1e2f77782
- Size of remote file:
- 17.6 MB
- SHA256:
- 2017f056e7a3654bedcdbefcfce997558bb5c69efab920670fa331ec1c608c9e
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