Instructions to use AnonymousCS/populism_classifier_bsample_140 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_140 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_140")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_140") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_140", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10da98c45402f6b12bc0fe5d489d161aaa303c9fad1980c2d23a46d80c859e11
- Size of remote file:
- 5.43 kB
- SHA256:
- e464ce120192afa5feb89a5775a7491da4cdc649a0d7a95c9749d10c3541ec8a
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