Embedding Models
Collection
Some embedding models I've trained, finetuned, distilled, converted, or something else entirely • 15 items • Updated
How to use cnmoro/snowflake-arctic-embed-m-v2.0-cpu with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("cnmoro/snowflake-arctic-embed-m-v2.0-cpu", 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 cnmoro/snowflake-arctic-embed-m-v2.0-cpu with Transformers.js:
// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';
// Allocate pipeline
const pipe = await pipeline('sentence-similarity', 'cnmoro/snowflake-arctic-embed-m-v2.0-cpu');A modified version of Snowflake/snowflake-arctic-embed-m-v2.0, without xformers, so it works on CPU.
from sentence_transformers import SentenceTransformer
import torch
device = torch.device("cpu")
model = SentenceTransformer("cnmoro/snowflake-arctic-embed-m-v2.0-cpu", device=device, trust_remote_code=True)