Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
gte
feature-extraction
mteb
arctic
snowflake-arctic-embed
custom_code
Eval Results (legacy)
Eval Results
Instructions to use Snowflake/snowflake-arctic-embed-m-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Snowflake/snowflake-arctic-embed-m-v2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Snowflake/snowflake-arctic-embed-m-v2.0", 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] - Transformers.js
How to use Snowflake/snowflake-arctic-embed-m-v2.0 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-v2.0'); - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Snowflake/snowflake-arctic-embed-m-v2.0: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0/resolve/main/model.safetensors
- Command line
-
hf download hf://Snowflake/snowflake-arctic-embed-m-v2.0/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0/resolve/main/model.safetensors
1.22 GB
- Xet hash:
- f42d0640108f8e1dcaa21657c39ecc12fb7d2ef0e1711458eadff042d3ac9001
- Size of remote file:
- 1.22 GB
- SHA256:
- 3d80d4727ac8759fb8624b690697c053a3d1992120111dc4a71178e608c26604
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