How to use 1shoomun/pq_cache_3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("1shoomun/pq_cache_3", trust_remote_code=True) sentences = [ "Can you tell me how my portfolio did last week?", "Suggest recommendations for me", "Do you have any insights on my portfolio", "How did my portfolio perform last week ?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/1shoomun/pq_cache_3/resolve/main/checkpoint-2240/tokenizer.json
hf download hf://1shoomun/pq_cache_3/checkpoint-2240/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/1shoomun/pq_cache_3/resolve/main/checkpoint-2240/tokenizer.json
