Instructions to use AnonymousCS/populism_classifier_bsample_024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_024")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_024") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9edc2673d491c2f9cdaefd0c46f72c490c5dd1924d967b8ce18ad7270f7a0082
- Size of remote file:
- 5.43 kB
- SHA256:
- 9055323cc41e287f9aeb8b0fbd438949c2e53fc04789fbc7c05d618075517358
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