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
⚠️ DO NOT MERGE: feat(transformers): Add native Transformers config
#17
by harshaljanjani - opened
- config.json +9 -5
config.json
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"pack_qkv": true,
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"pad_token_id": 1,
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"position_embedding_type": "rope",
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"rope_scaling": null,
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"rope_theta": 160000,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"type_vocab_size": 1,
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"unpad_inputs": "true",
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"use_memory_efficient_attention": "true",
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"matryoshka_dimensions": [
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"pack_qkv": true,
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"pad_token_id": 1,
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"position_embedding_type": "rope",
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"type_vocab_size": 1,
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"unpad_inputs": "true",
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"use_memory_efficient_attention": "true",
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"matryoshka_dimensions": [
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256
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],
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"vocab_size": 250048,
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"rope_parameters": {
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"rope_theta": 160000,
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"rope_type": "default"
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}
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}
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