Instructions to use AnonymousCS/populism_classifier_bsample_366 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_366 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_366")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_366") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_366") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b6972fbe681f6742b4bd4ca06450642c2e7762161f01b10946ffed944fbe058
- Size of remote file:
- 1.34 GB
- SHA256:
- c3ec168a8acec6a02117b3f67d761c837e60b5eabbfef09ba04d8f40e8a443a1
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