How to use thuan9889/llama_embedding_model_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thuan9889/llama_embedding_model_v1") 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]
https://huggingface.co/thuan9889/llama_embedding_model_v1/resolve/main/tokenizer.json
hf download hf://thuan9889/llama_embedding_model_v1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/thuan9889/llama_embedding_model_v1/resolve/main/tokenizer.json
