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:
- 5c08e25d4af6a0332fa75e15533173468c6f877f1fc4a1d59d8b47df31b58208
- Size of remote file:
- 1.12 GB
- SHA256:
- 0c2cde1dfbc623ccf8b55bed6dc778e046c4df69002e18837ea842f0ebb1aef2
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