How to use fawazatvetted/fine_tuned_model_mpnet_qa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fawazatvetted/fine_tuned_model_mpnet_qa") 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]
How to use fawazatvetted/fine_tuned_model_mpnet_qa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fawazatvetted/fine_tuned_model_mpnet_qa") model = AutoModel.from_pretrained("fawazatvetted/fine_tuned_model_mpnet_qa", device_map="auto")
