Model Details
Full Model IDmonologg/koelectra-base-v3-finetuned-korquad
Pipeline / Taskquestion-answering
Librarytransformers
Downloads (all-time)86.6K
Likes6
Last Modified6/12/2023
Author / Orgmonologg
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("question-answering", model="monologg/koelectra-base-v3-finetuned-korquad")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchsafetensorselectraquestion-answeringendpoints_compatibleregion:us
More question-answering 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: question-answering
This model is designed for the question-answering task. Explore more models for this use case.
All question-answering Models →📊 Popularity
⬇ Downloads86.6K
❤️ Community Likes6
🛠️ 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.