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
Publish AgentWeave Router MiniLM from b917eee
Browse files- config.json +4 -1
config.json
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{
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"model_type": "agentweave_semantic_router",
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"architecture": "prototype_cosine_router",
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"
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"embedding_dimension": 384,
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"similarity": "cosine",
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"normalize_embeddings": true,
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{
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"model_type": "agentweave_semantic_router",
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"architecture": "prototype_cosine_router",
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"encoder_model": "sentence-transformers/all-MiniLM-L6-v2",
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"encoder_usage": "frozen runtime dependency",
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"weights_included": false,
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"fine_tuned": false,
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"embedding_dimension": 384,
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"similarity": "cosine",
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"normalize_embeddings": true,
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