How to use Romelianism/MedEmbed-small-v0.1 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Romelianism/MedEmbed-small-v0.1');
How to use Romelianism/MedEmbed-small-v0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Romelianism/MedEmbed-small-v0.1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
https://huggingface.co/abhinand/MedEmbed-small-v0.1 with ONNX weights to be compatible with Transformers.js.
Base model
