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:
- f3a92842e800a7bdb27b42c3c68e68c1c8c21a1c37679fa1964a4b815abb65fe
- Size of remote file:
- 23 Bytes
- SHA256:
- fb697283833d25e2c711f1bc37730ecd8b20f4bd5f015db1d84aefe0adc9155a
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