Instructions to use AnonymousCS/populism_classifier_bsample_404 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_404 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_404")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_404") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_404") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40f335b380a6423625c05e56c869cb6b81cec5a1749993f336ab0019a92e4b55
- Size of remote file:
- 2.3 GB
- SHA256:
- 6df1b42e906d894d20528996d923eaa624cff65aba03d7da27c77235220bf591
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