Instructions to use coverquick/resume-header-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use coverquick/resume-header-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("coverquick/resume-header-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] - setfit
How to use coverquick/resume-header-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("coverquick/resume-header-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cbf294fcf428a7f1afd902e4d4ac8b79c914d3e9b23b67f71db6c9aa3851812
- Size of remote file:
- 91.7 kB
- SHA256:
- 23da8959d14359daccfbce8fb2b72c6a4c737ab1823e32b5970666b3274eaada
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