MMLForge Search models, datasets, tasks… Start free
Home › Models › Zero Shot Classification › MoritzLaurer/bge-m3-zeroshot-v2.0
B

MoritzLaurer/bge-m3-zeroshot-v2.0

Zero Shot Classification·MoritzLaurer· 71.7K· 65
transformers mit Zero Shot Classification 567.8M params arxiv:2312.17543base_model:BAAI/bge-m3-retromaebase_model:quantized:BAAI/bge-m3-retromaelicense:mit

zeroshot-v2.0 series of models Models in this series are designed for efficient zeroshot classification with the Hugging Face pipeline. These models can do classification without training data and run on both GPUs and CPUs. An overview of the latest zeroshot classifiers is available in my Zeroshot Classifier Collection.

Open in MLForge Sign up free Desktop app Source ↗
# pull & run locally
pip install mlforge-sdk && mlforge pull MoritzLaurer/bge-m3-zeroshot-v2.0

Model details

Task
Zero Shot Classification
Provider
MoritzLaurer
Framework
transformers
Parameters
567.8M
Size
5.3 GB
License
mit
Downloads
71.7K
Likes
65
Paper
arXiv:2312.17543
Updated
2024-04-22

About MoritzLaurer/bge-m3-zeroshot-v2.0

zeroshot-v2.0 series of models Models in this series are designed for efficient zeroshot classification with the Hugging Face pipeline. These models can do classification without training data and run on both GPUs and CPUs. An overview of the latest zeroshot classifiers is available in my Zeroshot Classifier Collection.

Related Zero Shot Classification

B facebook/bart-large-mnli Zero Shot Classification ·407.3M params 3.3M 1.6K 🤗 HF D valhalla/distilbart-mnli-12-1 Zero Shot Classification 493.4K 56 🤗 HF N cross-encoder/nli-deberta-v3-small Zero Shot Classification ·141.9M params 471.8K 15 🤗 HF M MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 Zero Shot Classification ·278.8M params 398.7K 378 🤗 HF N cross-encoder/nli-deberta-v3-base Zero Shot Classification ·184.4M params 378.1K 46 🤗 HF N cross-encoder/nli-deberta-v3-large Zero Shot Classification ·435.1M params 330.4K 44 🤗 HF

Browse all Zero Shot Classification models →