Model Details
Full Model IDsentence-transformers-testing/stsb-bert-tiny-safetensors
Pipeline / Tasksentence-similarity
Librarysentence-transformers
Downloads (all-time)1.0M
Likes13
Last Modified1/17/2024
Author / Orgsentence-transformers-testing
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="sentence-transformers-testing/stsb-bert-tiny-safetensors")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
sentence-transformerspytorchsafetensorsbertfeature-extractionsentence-similaritytransformerstext-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
⬇ Downloads1.0M
❤️ Community Likes13
🛠️ 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.