Instructions to use sgonzalezsilot/FakeNewsDetection_sydneysiege with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgonzalezsilot/FakeNewsDetection_sydneysiege with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgonzalezsilot/FakeNewsDetection_sydneysiege")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgonzalezsilot/FakeNewsDetection_sydneysiege") model = AutoModelForSequenceClassification.from_pretrained("sgonzalezsilot/FakeNewsDetection_sydneysiege") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bbc5e7f18aebf89291a547ac4eb7803e3c90c8ddc0e2e26daac22cfb0f96a6a
- Size of remote file:
- 4.73 kB
- SHA256:
- 8c5337442181eab016650cd4dbf5b9cf7587a38c9d0d09e682b9c3444178d777
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