Instructions to use Dewa/fake-news-detector_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dewa/fake-news-detector_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dewa/fake-news-detector_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dewa/fake-news-detector_v1") model = AutoModelForSequenceClassification.from_pretrained("Dewa/fake-news-detector_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbc397a67529fa5d47ff58fda7691bd4ead38e33a7388dec1c489990811c9a76
- Size of remote file:
- 433 MB
- SHA256:
- c0201469b9727a00bee67ae4949c54b129d3f4d487037c73aa2eee9ca2e33323
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