Instructions to use AnonymousCS/populism_classifier_406 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_406 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_406")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_406") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_406", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5935259c63d66dce4270b5a29cf7fdb9f5e83f26d43a1b0f0fc84d41a1a2894
- Size of remote file:
- 5.43 kB
- SHA256:
- c30add3b08bf646486e9a072bf9df8c6726e1890a42552ccafca9601903817be
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