How to use vineet10/fm with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vineet10/fm") sentences = [ "The Supplier shall deliver the Batteries to the Manufacturer within 5 days of receipt of each", "according to the MOU?", "What is the Delivery Schedule for the Batteries?", "single order?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/vineet10/fm/resolve/main/tokenizer.json
hf download hf://vineet10/fm/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/vineet10/fm/resolve/main/tokenizer.json
