Instructions to use premsa/political-bias-prediction-allsides-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use premsa/political-bias-prediction-allsides-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="premsa/political-bias-prediction-allsides-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("premsa/political-bias-prediction-allsides-BERT") model = AutoModelForSequenceClassification.from_pretrained("premsa/political-bias-prediction-allsides-BERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb8a6255d1cc37f0dd161a5a906da7d655dc0c4b64adc57c5b34c4f4e4a7594f
- Size of remote file:
- 438 MB
- SHA256:
- ea37c35a16584c27c01d94581ddc7e9f56ed947c4dd03fe10287ba87fe5950f2
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