How to use NoesisLab/Collins-Embedding-3M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NoesisLab/Collins-Embedding-3M") 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/NoesisLab/Collins-Embedding-3M/resolve/main/modules.json
hf download hf://NoesisLab/Collins-Embedding-3M/modules.json
curl -L -o modules.json https://huggingface.co/NoesisLab/Collins-Embedding-3M/resolve/main/modules.json
