Instructions to use AnonymousCS/populism_classifier_414 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_414 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_414")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_414") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_414", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 882e88144885063dd9542653556e0af3a6444a01eb6daa0ac0a52dbd0c0c92d0
- Size of remote file:
- 5.43 kB
- SHA256:
- fee8aa7b813b96fef9058fd059480dcaa6cdfbff2fefe1226f25bcafd6612d5b
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