How to use ayub42/agentic-intent-router with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ayub42/agentic-intent-router") 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]
How to use ayub42/agentic-intent-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ayub42/agentic-intent-router")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ayub42/agentic-intent-router", device_map="auto")
https://huggingface.co/ayub42/agentic-intent-router/resolve/main/__pycache__/router.cpython-314.pyc
hf download hf://ayub42/agentic-intent-router/__pycache__/router.cpython-314.pyc
curl -L -o router.cpython-314.pyc https://huggingface.co/ayub42/agentic-intent-router/resolve/main/__pycache__/router.cpython-314.pyc
