Instructions to use AnonymousCS/populism_classifier_293 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_293 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_293")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_293") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_293", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac4916d5c68685cac30c7168c115f28a5423291d22348894e62f13b75d8d3a8d
- Size of remote file:
- 5.43 kB
- SHA256:
- de71ec5584ab4603854f6bfefc2433c0623ff44714670cf22420cb615e175cce
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