How to use ML-Intern-lab/embeddinggemma2-nli-lora-poc with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/embeddinggemma-2") model = PeftModel.from_pretrained(base_model, "ML-Intern-lab/embeddinggemma2-nli-lora-poc")
How to use ML-Intern-lab/embeddinggemma2-nli-lora-poc with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ML-Intern-lab/embeddinggemma2-nli-lora-poc") 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]
