Instructions to use katsufu/cv_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use katsufu/cv_classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("katsufu/cv_classifier") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fddb654ad121f607880f9dc63b52bc42e262989e776092ff7e2dd25719616740
- Size of remote file:
- 15.7 MB
- SHA256:
- 3d594376e0141639b77fbb74a57d17c86496ed8e479bd3511b219a6780a14c40
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