Instructions to use sgonzalezsilot/FakeNewsDetection_sydneysiege_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgonzalezsilot/FakeNewsDetection_sydneysiege_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgonzalezsilot/FakeNewsDetection_sydneysiege_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgonzalezsilot/FakeNewsDetection_sydneysiege_NER") model = AutoModelForSequenceClassification.from_pretrained("sgonzalezsilot/FakeNewsDetection_sydneysiege_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2368341c6d0ada6e74efaf3520da83bdd3f2f08f8296dfd422ee5a3376fb511f
- Size of remote file:
- 4.73 kB
- SHA256:
- 1359ae7d089efc60a271251eae1898e362c367c71adb97f8da8e7c6d58914c0b
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