Instructions to use Doohae/roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Doohae/roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Doohae/roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Doohae/roberta") model = AutoModelForQuestionAnswering.from_pretrained("Doohae/roberta") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Doohae/roberta")
model = AutoModelForQuestionAnswering.from_pretrained("Doohae/roberta")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Model for Extraction-based MRC
original model : klue/roberta-large
Designed for ODQA Competition
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Doohae/roberta")