Question Answering
Transformers
Safetensors
Vietnamese
roberta
SemViQA
fact-checking
information-retrieval
Instructions to use SemViQA/vi-mrc-large-viwikifc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SemViQA/vi-mrc-large-viwikifc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SemViQA/vi-mrc-large-viwikifc")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SemViQA/vi-mrc-large-viwikifc") model = AutoModelForQuestionAnswering.from_pretrained("SemViQA/vi-mrc-large-viwikifc") - Notebooks
- Google Colab
- Kaggle
Ctrl+K