Model Details
Full Model IDwfzyx/von
Pipeline / Taskzero-shot-classification
Libraryvon-sdk
Downloads (all-time)98.7K
Likes63
Last Modified10/19/2026
Author / Orgwfzyx
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("zero-shot-classification", model="wfzyx/von")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
von-sdksafetensorsmodernbertsystem-onedecision-modeloption-markercalibratedjevbenchnon-autoregressivezero-shot-classificationenbase_model:answerdotai/ModernBERT-largebase_model:finetune:answerdotai/ModernBERT-largelicense:apache-2.0region: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: zero-shot-classification
This model is designed for the zero-shot-classification task. Explore more models for this use case.
All zero-shot-classification Models →📊 Popularity
⬇ Downloads98.7K
❤️ Community Likes63
🛠️ Requirements
- →Install: pip install von-sdk
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.