How to use AROY76/Embedding-gemma-300M-skills with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AROY76/Embedding-gemma-300M-skills") sentences = [ "Client onboarding, implementation, project management, communication, Salesforce, G-suite, Asana, Single Sign-On (SSO), SFTP, data analysis", "A software engineer uses Python and GitHub to automate testing processes.", "Setting up clients in Salesforce and G-suite efficiently requires strong project management and clear communication.", "Choosing between cloud storage solutions like Dropbox and Google Drive can be challenging." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
