Question Answering
Transformers
Safetensors
Vietnamese
qatc
SemViQA
fact-checking
information-retrieval
Instructions to use SemViQA/qatc-vimrc-isedsc01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SemViQA/qatc-vimrc-isedsc01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SemViQA/qatc-vimrc-isedsc01")# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("SemViQA/qatc-vimrc-isedsc01", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload QATCForQuestionAnswering
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model.safetensors
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