Instructions to use Shadman-Rohan/FakevsRealNews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadman-Rohan/FakevsRealNews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shadman-Rohan/FakevsRealNews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/FakevsRealNews") model = AutoModelForSequenceClassification.from_pretrained("Shadman-Rohan/FakevsRealNews") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad8b84bf21ef66b267e28e2a8ac9310d02438a7fff037cd1c03f13ce7f0f86ed
- Size of remote file:
- 268 MB
- SHA256:
- 27776feffda929343e6db661f57d9ee25022e5e10d8845d07cee6e1e4ecd5513
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