sentence-transformers
English
agentweave_semantic_router
agentweave
agentic-ai
tool-routing
semantic-routing
function-calling
cpu
minilm
pre-inference-routing
Instructions to use sauravsingla08/AgentWeave-Router-MiniLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
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] - Notebooks
- Google Colab
- Kaggle
File size: 443 Bytes
60efcc3 7bb6bff 60efcc3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"model_type": "agentweave_semantic_router",
"architecture": "prototype_cosine_router",
"encoder_model": "sentence-transformers/all-MiniLM-L6-v2",
"encoder_usage": "frozen runtime dependency",
"weights_included": false,
"fine_tuned": false,
"embedding_dimension": 384,
"similarity": "cosine",
"normalize_embeddings": true,
"default_top_k": 3,
"training": "none; prototype-based semantic routing",
"version": "0.1.0"
}
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