Instructions to use AnonymousCS/populism_classifier_147 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_147 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_147")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_147") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_147", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 220725ff2d149e5195a5182a9f5f6bbff9017a9ae2d90084ece3fee1ea450323
- Size of remote file:
- 5.43 kB
- SHA256:
- 591bdb395ef44b6c75f8690319632937cadd1881e343d3e38e6a62306e163858
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