Instructions to use sgonzalezsilot/FakeNewsDetection_charliebedo_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgonzalezsilot/FakeNewsDetection_charliebedo_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgonzalezsilot/FakeNewsDetection_charliebedo_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgonzalezsilot/FakeNewsDetection_charliebedo_NER") model = AutoModelForSequenceClassification.from_pretrained("sgonzalezsilot/FakeNewsDetection_charliebedo_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53cd1fbe845e6951f3dcc6823111b0f8c3ab7a1744f92e2b5e86239d02d3ff77
- Size of remote file:
- 499 MB
- SHA256:
- 375e835dbffec27e7ad1a7fb6fe136ef46b7b01ffbe4010ed013761fe26cc038
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