Instructions to use AnonymousCS/populism_classifier_365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_365 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_365")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_365") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59848d5541e9e80b4151e729921c6aa84612834d146d46691c3b881e1bc39ef5
- Size of remote file:
- 5.43 kB
- SHA256:
- 11eb455cd8e2ebc595dda44a0da9c2f0af16ab3c31d3b3c641efe5a7b5be46f4
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