Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
xlm-roberta
feature-extraction
mteb
arctic
snowflake-arctic-embed
Eval Results (legacy)
text-embeddings-inference
Instructions to use unsloth/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 unsloth/snowflake-arctic-embed-l-v2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("unsloth/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 unsloth/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', 'unsloth/snowflake-arctic-embed-l-v2.0'); - Notebooks
- Google Colab
- Kaggle
Download 1_Pooling/config.json from unsloth/snowflake-arctic-embed-l-v2.0: direct link, hf CLI and curl.
- Browser
- Download file 297 Bytes
-
https://huggingface.co/unsloth/snowflake-arctic-embed-l-v2.0/resolve/main/1_Pooling/config.json
- Command line
-
hf download hf://unsloth/snowflake-arctic-embed-l-v2.0/1_Pooling/config.json
-
curl -L -o config.json https://huggingface.co/unsloth/snowflake-arctic-embed-l-v2.0/resolve/main/1_Pooling/config.json
297 Bytes
| { | |
| "word_embedding_dimension": 1024, | |
| "pooling_mode_cls_token": true, | |
| "pooling_mode_mean_tokens": false, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false, | |
| "pooling_mode_weightedmean_tokens": false, | |
| "pooling_mode_lasttoken": false, | |
| "include_prompt": true | |
| } |