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:
- fac0a552fd8b5cea58f993d22d98a5f09123221fe5fc45d1805dcc1fa8d08236
- Size of remote file:
- 3.52 kB
- SHA256:
- bfd5819bfcc23dc1ab388d909d01c70da52916f7be469bdc4029a0d032cdbeb9
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