Instructions to use VinMir/GordonAI-fact_checking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VinMir/GordonAI-fact_checking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VinMir/GordonAI-fact_checking")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VinMir/GordonAI-fact_checking", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f486fd51dfd4c0a3480a8965e4adf77e56388383576e4213b42bdfcac09db998
- Size of remote file:
- 1.09 kB
- SHA256:
- d5b1457ef5d3cce5faafe383d9194278d3e5ea7e4f6d363a8ec32fb282838020
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