Instructions to use AnonymousCS/populism_classifier_bsample_166 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_166 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_166")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_166") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_166") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d229a17e0b1a8330823c02cd333a4d73f7d2f91ab9ae60c2aaf5d827f2bb513
- Size of remote file:
- 669 MB
- SHA256:
- 47c0abf548bf22bcb4bc831953aa7bb15bdf12877200624feb1c6318312908e5
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