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-s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Snowflake/snowflake-arctic-embed-s with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Snowflake/snowflake-arctic-embed-s") 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-s with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'Snowflake/snowflake-arctic-embed-s'); - Inference
- Notebooks
- Google Colab
- Kaggle
Fix model_max_length
#9
by jmzzomg - opened
- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -47,7 +47,7 @@
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_length": 512,
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-
"model_max_length":
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"never_split": null,
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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| 47 |
"do_lower_case": true,
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| 48 |
"mask_token": "[MASK]",
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"max_length": 512,
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| 50 |
+
"model_max_length": 512,
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"never_split": null,
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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