How to use Janick1/roommate-matching with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Janick1/roommate-matching") 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 Janick1/roommate-matching with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Janick1/roommate-matching", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html
https://huggingface.co/Janick1/roommate-matching/resolve/main/README.md
hf download hf://Janick1/roommate-matching/README.md
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Janick1/roommate-matching/resolve/main/README.md
tags: - sklearn - sentence-transformers - roommate-matching
Usage: model = joblib.load('model.joblib')
model = joblib.load('model.joblib')
