How to use agentlans/deberta-v3-base-zyda-2-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("agentlans/deberta-v3-base-zyda-2-v2") sentences = [ "Can you describe the steps involved in reconciling a bank statement?", "How can we reduce delay in wowza live stream?", "Did India meet Abdul Kalam's 2020 vision so far?", "Why US people supporting a old woman president despite a lots of the young men?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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