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
Download requirements.txt from sauravsingla08/AgentWeave-Router-MiniLM: direct link, hf CLI and curl.
- Browser
- Download file 43 Bytes
-
https://huggingface.co/sauravsingla08/AgentWeave-Router-MiniLM/resolve/main/requirements.txt
- Command line
-
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
43 Bytes
| sentence-transformers>=3.0.0 | |
| numpy>=1.26.0 | |