Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
xlm-roberta
feature-extraction
mteb
arctic
snowflake-arctic-embed
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use Snowflake/snowflake-arctic-embed-l-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-l-v2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Snowflake/snowflake-arctic-embed-l-v2.0") 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-l-v2.0 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'Snowflake/snowflake-arctic-embed-l-v2.0'); - Inference
- Notebooks
- Google Colab
- Kaggle
Add exported onnx model 'model_O4.onnx' (#18)
Browse files- Add exported onnx model 'model_O4.onnx' (69766d90f789becd5aea524a0b1ca10d0c059d0e)
Co-authored-by: Ashok Raja <AshokRaja@users.noreply.huggingface.co>
- onnx/model_O4.onnx +3 -0
onnx/model_O4.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae7e73a69d690db23c91d297802d0a2c2c7cc6f18600ab457b6399bfea11e602
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size 452256
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