Instructions to use AnonymousCS/populism_classifier_339 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_339 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_339")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_339") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_339", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8ca4c015a9ee8c739d62237772fba197c6b5917996301f8e3dc2b68d433831c
- Size of remote file:
- 5.43 kB
- SHA256:
- caad2cb69a016d159475eb011d30dfa5461bba36902942284b964288b265881f
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