Instructions to use AnonymousCS/populism_classifier_137 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_137 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_137")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_137") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_137", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a7cadd67c823ffcb1a8ad8120733acbce278c327a19c326f9e18c1c433b0da0
- Size of remote file:
- 5.43 kB
- SHA256:
- a022b08f821bd7f2a7132afd837bf3f3a2330e790f4ea64a769e824305731072
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