How to use Roytsai27/GIRCSE-QWEN7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B") model = PeftModel.from_pretrained(base_model, "Roytsai27/GIRCSE-QWEN7B")
How to use Roytsai27/GIRCSE-QWEN7B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Roytsai27/GIRCSE-QWEN7B") 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]
