How to use Snowflake/snowflake-arctic-embed-m-long with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Snowflake/snowflake-arctic-embed-m-long", trust_remote_code=True) 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]
How to use Snowflake/snowflake-arctic-embed-m-long with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Snowflake/snowflake-arctic-embed-m-long');
https://huggingface.co/Snowflake/snowflake-arctic-embed-m-long/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://Snowflake/snowflake-arctic-embed-m-long@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Snowflake/snowflake-arctic-embed-m-long/resolve/refs%2Fpr%2F2/tokenizer.json
