Instructions to use AnonymousCS/populism_classifier_366 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_366 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_366")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_366") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_366") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ea2913d5cd82530859a1af6cda3b621506ba66eddcaf4ce3e3f6dd635f876a9
- Size of remote file:
- 1.34 GB
- SHA256:
- 85233dba33b4dc76ddf73d93e29a3a9461a52823fcafbe12ddab6af2fdfc4036
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