How to use divakantpandey/code-embed-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("divakantpandey/code-embed-v2") 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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{ "base_model_name_or_path": "microsoft/unixcoder-base", "backbone_hidden_size": 768, "embedding_dim": 1536, "projection_hidden_dim": 1536, "pooling": "cls", "max_seq_length": 8192, "dropout": 0.1 }
