Model Details
Full Model IDSnowflake/snowflake-arctic-embed-xs
Pipeline / Tasksentence-similarity
Librarysentence-transformers
Downloads (all-time)380.6K
Likes43
Last Modified12/13/2024
Author / OrgSnowflake
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("sentence-similarity", model="Snowflake/snowflake-arctic-embed-xs")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
sentence-transformersonnxsafetensorsbertfeature-extractionsentence-similaritymtebarcticsnowflake-arctic-embedtransformers.jsarxiv:2407.18887arxiv:2405.05374model-indextext-embeddings-inferenceendpoints_compatibledeploy:azureregion:us
More sentence-similarity Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: sentence-similarity
This model is designed for the sentence-similarity task. Explore more models for this use case.
All sentence-similarity Models →📊 Popularity
⬇ Downloads380.6K
❤️ Community Likes43
🛠️ Requirements
- →Install: pip install sentence-transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.