Model Details
Full Model IDdmis-lab/biobert-large-cased-v1.1-squad
Pipeline / Taskquestion-answering
Librarytransformers
Downloads (all-time)13.7K
Likes21
Last Modified1/4/2023
Author / Orgdmis-lab
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="dmis-lab/biobert-large-cased-v1.1-squad")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchjaxbertquestion-answeringarxiv:1901.08746arxiv:1910.09700endpoints_compatibledeploy:azureregion:us
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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
⬇ Downloads13.7K
❤️ Community Likes21
🛠️ 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.