How to use richardyoung/CardioEmbed-Gemma-2-2B with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "richardyoung/CardioEmbed-Gemma-2-2B")
How to use richardyoung/CardioEmbed-Gemma-2-2B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("richardyoung/CardioEmbed-Gemma-2-2B") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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