Instructions to use dvilasuero/alpaca-gigo-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dvilasuero/alpaca-gigo-detector with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dvilasuero/alpaca-gigo-detector") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use dvilasuero/alpaca-gigo-detector with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dvilasuero/alpaca-gigo-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e448c8d2422afc6fad7fe5832e709d7e571b38226e2c0faf77d0bba11e8903ed
- Size of remote file:
- 90.9 MB
- SHA256:
- ed112b0cc2bc65092596e3b0e9310e16c5927aae48b2259264bb2d7d753d8e06
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