Instructions to use AnonymousCS/populism_classifier_bsample_293 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_293 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_293")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_293") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_293", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6a871489f6d5801b7e05650e643ef0ab738ad6d3e666cb10e4b1a77a4665828
- Size of remote file:
- 5.43 kB
- SHA256:
- e64e9de9ce7dc6a5b8f82155233c42643ea0cb3f8214cb1e8fe2ed12711ecba3
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