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:
- e358c30044b364bf81074db2082652ba9c1395d4427e4710f205de627f49f5d3
- Size of remote file:
- 16.4 MB
- SHA256:
- e00b5fa387c7c7510aa60c51f1d92cfb2b32766c8422d0ade77aa07556e04176
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