Model Details
Full Model IDBAAI/bge-small-zh-v1.5
Pipeline / Taskfeature-extraction
Librarytransformers
Downloads (all-time)3.2M
Likes114
Last Modified10/12/2023
Author / OrgBAAI
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("feature-extraction", model="BAAI/bge-small-zh-v1.5")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerspytorchsafetensorsbertfeature-extractionzharxiv:2310.07554arxiv:2309.07597license:mittext-embeddings-inferenceendpoints_compatibledeploy:azureregion:us
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Open on Hugging Face →Browse Model Files ↗�� Browse All Models🤖 Task: feature-extraction
This model is designed for the feature-extraction task. Explore more models for this use case.
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⬇ Downloads3.2M
����� Community Likes114
🛠�� Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.