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:
- 87c18cea2ba83d6f7d56c0a8508ed460f7cd911d6b3e33e284ec276f8aeeb6ce
- Size of remote file:
- 438 MB
- SHA256:
- 796096cdae513487e38c050de57868b51bd7a099db69fc56bd326a89144a5323
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