Instructions to use AnonymousCS/populism_classifier_370 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_370 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_370")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_370") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_370", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4a7491248bf7bc370a9e9680413fd1a01b94dd6b98730cbe284fb0d35156281
- Size of remote file:
- 5.43 kB
- SHA256:
- fae88609307a5d793b8a57f3cdab43ddc3be0e838c7be2e00e4db310066ffc41
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