Instructions to use AnonymousCS/populism_classifier_304 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_304 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_304")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_304") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_304", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c23bb67cb06388086bb82a577faefed9a2bdb03476c8481fa3e3c147659a28c
- Size of remote file:
- 5.43 kB
- SHA256:
- 5cd6a8ab046e353792f155995a8a94e2549d5d544d9d034e0396bb79663811ce
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