Instructions to use sgonzalezsilot/FakeNewsDetection_charliehebdo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgonzalezsilot/FakeNewsDetection_charliehebdo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgonzalezsilot/FakeNewsDetection_charliehebdo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgonzalezsilot/FakeNewsDetection_charliehebdo") model = AutoModelForSequenceClassification.from_pretrained("sgonzalezsilot/FakeNewsDetection_charliehebdo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9e0da66d55361465f498ac1184070f574149b24c2a3dd5831576113a54f918d
- Size of remote file:
- 4.73 kB
- SHA256:
- 2002716997abf8fa05cd2bf137340637e33e49b95da867cdc34bf3b1f4c6ad1a
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