Instructions to use Arjun24420/BERT-FakeOrReal-BinaryClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arjun24420/BERT-FakeOrReal-BinaryClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Arjun24420/BERT-FakeOrReal-BinaryClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Arjun24420/BERT-FakeOrReal-BinaryClassification") model = AutoModelForSequenceClassification.from_pretrained("Arjun24420/BERT-FakeOrReal-BinaryClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9b2b2954461eaace2a014975b7ddcbcd9b5bf689d64da7d4787eaa3a12f784f
- Size of remote file:
- 438 MB
- SHA256:
- 49d15c2555676b0fa6c25210be69cc980da99d3be715a0d1b5ad4e4eb15729ea
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