Instructions to use AnonymousCS/populism_classifier_bsample_310 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_310 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_310")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_310") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_310") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb401ac7022481ce69fcc3d3afa5e24f102c6466a7a201f94a32cdbb8bafc4e4
- Size of remote file:
- 433 MB
- SHA256:
- 56458a1ffb9163b4dd2b00ab4b7cebf2c16e37b036047c1de0c5721e4bf49938
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