Instructions to use AnonymousCS/populism_classifier_368 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_368 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_368")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_368") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_368", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57be8547e404fe59019ab074ce837ec3fb328a37d006028894783a5295d15481
- Size of remote file:
- 5.43 kB
- SHA256:
- 75d0f729f3412b2ed43f722700a01c695014448d379b82b00884626969f70806
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