Duplicated from Baragi-AI/Munche-768
How to use yangpapa/Munche-768 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/embeddinggemma-300m") model = PeftModel.from_pretrained(base_model, "yangpapa/Munche-768")
How to use yangpapa/Munche-768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yangpapa/Munche-768") 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]
https://huggingface.co/yangpapa/Munche-768/resolve/main/assets/performance-comparison.svg
hf download hf://yangpapa/Munche-768/assets/performance-comparison.svg
curl -L -o performance-comparison.svg https://huggingface.co/yangpapa/Munche-768/resolve/main/assets/performance-comparison.svg
