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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c423d782078a670c9df8fb9072b6f6fcdb29bc62ccb1edc911c52b5fbd03775
- Size of remote file:
- 286 Bytes
- SHA256:
- 9463f61e1b109a8eb4688b829260d7c6b1e6dff04c98ff7269bb89e2b92369b9
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