How to use sauravsingla08/AgentWeave-Router-MiniLM with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sauravsingla08/AgentWeave-Router-MiniLM") 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]
https://huggingface.co/sauravsingla08/AgentWeave-Router-MiniLM/resolve/main/requirements.txt
hf download hf://sauravsingla08/AgentWeave-Router-MiniLM/requirements.txt
curl -L -o requirements.txt https://huggingface.co/sauravsingla08/AgentWeave-Router-MiniLM/resolve/main/requirements.txt
