Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
bert
feature-extraction
mteb
arctic
snowflake-arctic-embed
Eval Results (legacy)
text-embeddings-inference
Instructions to use Snowflake/snowflake-arctic-embed-l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Snowflake/snowflake-arctic-embed-l with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Snowflake/snowflake-arctic-embed-l") 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] - Transformers.js
How to use Snowflake/snowflake-arctic-embed-l with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Snowflake/snowflake-arctic-embed-l'); - Inference
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Snowflake/snowflake-arctic-embed-l: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/Snowflake/snowflake-arctic-embed-l/resolve/main/model.safetensors
- Command line
-
hf download hf://Snowflake/snowflake-arctic-embed-l/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Snowflake/snowflake-arctic-embed-l/resolve/main/model.safetensors
1.34 GB
- Xet hash:
- 56f0895400239f8387d4aacae8d19ff57fe5dec20f6df722fbace91069aeb15e
- Size of remote file:
- 1.34 GB
- SHA256:
- 46e36bf399c152c51818e1d0423bfe628d79fc9536dbf9d4fcc93078827d6c99
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