How to use williammasdon/snowflake-arctic-embed-m-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("williammasdon/snowflake-arctic-embed-m-v2", trust_remote_code=True) 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]
How to use williammasdon/snowflake-arctic-embed-m-v2 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'williammasdon/snowflake-arctic-embed-m-v2');
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