Instructions to use AnonymousCS/populism_classifier_bsample_291 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_291 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_291")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_291") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_291", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4cb069041d5649bd08540de9b1515b5f3d2036267fa4f304c9bedc948a1eacc
- Size of remote file:
- 5.43 kB
- SHA256:
- d54ba42e052d813dd62c1b76e797ed2528dac26da98b83e515cb3569bda16aba
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