Instructions to use AnonymousCS/populism_classifier_151 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_151 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_151")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_151") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_151", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edfdac52f268f1842c6bc6805240ef6df9adab20dcc8a994163980c5a45db626
- Size of remote file:
- 5.43 kB
- SHA256:
- bb43c9d30d36a217bb2e36b2d7287aa4b90ea14f5cb2bef26d652bc936859aec
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