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('sentence-similarity', 'Snowflake/snowflake-arctic-embed-m-v2.0'); - Notebooks
- Google Colab
- Kaggle
Add evaluation results for model Snowflake/snowflake-arctic-embed-m-v2.0 revision f2a7d59d80dfda5b1d14f096f3ce88bb6bf9ebdc
#16
by Samoed - opened
- .eval_results/ArguAna.yaml +20 -0
.eval_results/ArguAna.yaml
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- dataset:
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id: mteb/arguana
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task_id: ArguAna_default_test
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revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
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value: 57.877
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notes: Obtained using MTEB v1.29.3
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source:
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url: https://github.com/embeddings-benchmark/mteb/
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name: Obtained using MTEB v1.29.3
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user: mteb
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- dataset:
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id: mteb/arguana
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task_id: ArguAna
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revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
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value: 57.877
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notes: Obtained using MTEB v1.29.3
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source:
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url: https://github.com/embeddings-benchmark/mteb/
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name: Obtained using MTEB v1.29.3
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user: mteb
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