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:
- dee6ec1966272fc2432c43167ee8c818f9455473b11020bfdcf2cc69872c84d7
- Size of remote file:
- 201 kB
- SHA256:
- 593ae3065f669d2fc50e317562bead3fe6db778c784b91ddde9d70a1657cf881
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