Instructions to use Denyol/FakeNews-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e170989f51d5a8aed72b09bbe2ba393b611904523d37f0af4423ed28046ef7c
- Size of remote file:
- 1.42 GB
- SHA256:
- 549efdd5cf2061cb377cb2218b9a648a956fde6483fe07452cf4ab046b5b4eb4
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