Instructions to use AnonymousCS/populism_classifier_bsample_037 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_037 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_037")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_037") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_037", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71b662cfdb8b45274143dc371e4d0603c7772404d6f059513e451f4583fab6bf
- Size of remote file:
- 5.43 kB
- SHA256:
- 8eb48a4ff6fd7fe044d76a2f04115cebb40701e7a5b3e6c805b10e3c8ad92ec8
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