How to use divakantpandey/code-embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("divakantpandey/code-embed") 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]
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{ "transformer_task": "feature-extraction", "modality_config": { "text": { "method": "forward", "method_output_name": "last_hidden_state" } }, "module_output_name": "token_embeddings", "max_seq_length": 8192 }
