Text Classification
Transformers
Safetensors
Vietnamese
claim_verification
SemViQA
binary-classification
fact-checking
Instructions to use SemViQA/bc-infoxlm-viwikifc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SemViQA/bc-infoxlm-viwikifc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SemViQA/bc-infoxlm-viwikifc")# pip install -U transformers accelerate # Load model directly from transformers import ClaimModelForClassification model = ClaimModelForClassification.from_pretrained("SemViQA/bc-infoxlm-viwikifc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add paper link and library name
#1 opened over 1 year ago
by
nielsr