How to use shogoorg/my-embedding-gemma with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("shogoorg/my-embedding-gemma") sentences = [ "query: confined-animal-facility", "Sector: agriculture. Subsector: cropland-fires.", "Sector: forestry-and-land-use. Subsector: forest-land-fires.", "Sector: agriculture. Subsector: enteric-fermentation-cattle-operation." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
