How to use hharsha/agentic-systems-minilm with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hharsha/agentic-systems-minilm") sentences = [ "hybrid search and reranking for RAG", "RetrievalLab shows advanced RAG with hybrid search and cross-encoder reranking.", "A cooking recipe for pasta carbonara.", "AgentFleet runs multi-agent task DAGs with cost governance." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/hharsha/agentic-systems-minilm/resolve/main/2_Normalize/config.json
hf download hf://hharsha/agentic-systems-minilm/2_Normalize/config.json
curl -L -o config.json https://huggingface.co/hharsha/agentic-systems-minilm/resolve/main/2_Normalize/config.json
