How to use Subhpoulpo/sc-base-v.01 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Subhpoulpo/sc-base-v.01") sentences = [ "required packages - Run", "Research Paper\n===================\n\nOur analysis found significant correlations...\n\nFor more information, contact us.", "import torch\n\ndef get_predictions(input_file):\n Train the model with given parameters\n return data.mean()", "# Research Paper\n\nThe following guide explains...\n\n- Install required packages\n- Run the application\n- Test the API\n\n## Future Work" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
The community tab is the place to discuss and collaborate with the HF community!
