Instructions to use AnonymousCS/populism_classifier_377 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_377 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_377")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_377") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_377", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d41784d5df628b280d94b479eef7edfca301b20f552b77fc7a1bf24e81119ca8
- Size of remote file:
- 5.43 kB
- SHA256:
- e488fe84241d5226c0a19277fdfaca2bd8d6c58fdae7137c09e3169fae9df1f3
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