Instructions to use AnonymousCS/populism_classifier_349 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_349 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_349")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_349") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_349", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 746461466e75c6a06842787c94e520170ef066e99fb89ba46e31340698887ad0
- Size of remote file:
- 5.43 kB
- SHA256:
- e6d5f40262a2170984b8e04adcdd6b4861a8b87fd9f7e128bced0fdb8c3230b5
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