Instructions to use AnonymousCS/populism_classifier_bsample_159 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_159 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_159")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_159") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_159", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9d3c4bd9c8c9214cbd0e94b14fdee237c66fbef4d3ea6e57f781a4a048437a6
- Size of remote file:
- 5.43 kB
- SHA256:
- d601f85bf891e3ee5be9ef3f5ca0bb7c0e7af6f4a8444f7f3531b60e0c4d951b
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