How to use KAUSTAcademy/RecipeMatching_RecipeArm_Qwen3-Embedding-4B with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3-Embedding-4B") model = PeftModel.from_pretrained(base_model, "KAUSTAcademy/RecipeMatching_RecipeArm_Qwen3-Embedding-4B")
How to use KAUSTAcademy/RecipeMatching_RecipeArm_Qwen3-Embedding-4B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KAUSTAcademy/RecipeMatching_RecipeArm_Qwen3-Embedding-4B") 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]
