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:
- e25c4a6fb3392bd0505820bd4c8d3c913b0fdbe4ab9f57555f145d56a7827514
- Size of remote file:
- 11.1 MB
- SHA256:
- 5f55dc78afcb27a30605f926584540bc912247bb0c89f999712be4a8327c383f
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