Instructions to use Bharat2004/deberta-factchecker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bharat2004/deberta-factchecker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bharat2004/deberta-factchecker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bharat2004/deberta-factchecker") model = AutoModelForSequenceClassification.from_pretrained("Bharat2004/deberta-factchecker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ea39bc25fe85b1858b989d874e1b2225d1e7f7df78c2b64a15866fc9fd8cff7
- Size of remote file:
- 5.2 kB
- SHA256:
- 52e124d94b9f990c6826a7779f99cdae943653d937ca1193d9879c167483b437
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