How to use Hui97/OnT-MiniLM-L12-go with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Hui97/OnT-MiniLM-L12-go") sentences = [ "cellular response to stimulus", "response to stimulus", "medial transverse frontopolar gyrus", "biological regulation" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/Hui97/OnT-MiniLM-L12-go/resolve/main/tokenizer.json
hf download hf://Hui97/OnT-MiniLM-L12-go/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Hui97/OnT-MiniLM-L12-go/resolve/main/tokenizer.json
