How to use PIBotBCCh/pibot-intent-router with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("PIBotBCCh/pibot-intent-router") 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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{ "macro": { "0": "0", "1": "1" }, "intent": { "0": "methodology", "1": "other", "2": "value" }, "context": { "0": "followup", "1": "standalone" } }
