Model Details
Full Model IDBAAI/bge-reranker-v2-m3
Pipeline / Tasktext-classification
Librarysentence-transformers
Downloads (all-time)17.1M
Likes1.2K
Last Modified6/24/2024
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("text-classification", model="BAAI/bge-reranker-v2-m3")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
sentence-transformerssafetensorsxlm-robertatext-classificationtransformerstext-embeddings-inferencemultilingualarxiv:2312.15503arxiv:2402.03216license:apache-2.0endpoints_compatibledeploy:azureregion:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🏷️ Task: Text Classification
This model is designed for the Text Classification task. Explore more models for this use case.
All Text Classification Models →📊 Popularity
⬇ Downloads17.1M
❤️ Community Likes1.2K
🛠️ 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.