Instructions to use premsa/political-bias-prediction-allsides-DeBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use premsa/political-bias-prediction-allsides-DeBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="premsa/political-bias-prediction-allsides-DeBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("premsa/political-bias-prediction-allsides-DeBERTa") model = AutoModelForSequenceClassification.from_pretrained("premsa/political-bias-prediction-allsides-DeBERTa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b34e43b0e9790052b77463bc43f42e96a11f9ac59fc5d441833c14dfe2169f4
- Size of remote file:
- 738 MB
- SHA256:
- b2c86d29c4266e4188cdbe79ccb686bea04bd054ccdcdaed9077a5a783453c06
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