Instructions to use AnonymousCS/populism_classifier_381 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_381 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_381")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_381") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_381", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff9167a1d15dc5e79735c8f2318a7da4131e2a5c6f37db6022edf585965d6392
- Size of remote file:
- 5.43 kB
- SHA256:
- 2655734567c1cf05a9f1e774fce8726f1b0c82597fb0c57aa369fcde3faf21e4
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