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: 1,608 Bytes
60efcc3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | {
"research": [
"research a technical topic using authoritative sources",
"compare alternatives and gather supporting evidence",
"investigate prior work, documentation, or literature"
],
"retrieval": [
"retrieve facts, records, documents, or external information",
"search for relevant evidence before answering",
"look up documentation, references, or source material"
],
"analysis": [
"analyze evidence, systems, tradeoffs, risks, or behavior",
"reason over multiple inputs and identify important patterns",
"evaluate a technical claim or architecture"
],
"coding": [
"write, inspect, debug, or modify source code",
"build a prototype or implementation",
"test code and identify correctness problems"
],
"planning": [
"create an implementation plan, workflow, or sequence of actions",
"design a migration, experiment, or engineering approach",
"organize tasks and optimize the execution path"
],
"verification": [
"verify a claim, result, constraint, or implementation",
"independently validate evidence or conclusions",
"check consistency, correctness, compliance, or reliability"
],
"summarization": [
"summarize findings into a concise structured response",
"compress multiple analyses while preserving key conclusions",
"produce a clear synthesis of technical information"
],
"data_analysis": [
"analyze a dataset and identify trends or anomalies",
"inspect metrics, measurements, tables, or experimental results",
"perform quantitative analysis and summarize findings"
]
}
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