Instructions to use AnonymousCS/populism_classifier_341 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_341 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_341")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_341") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_341", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89475052fca315c4c2c4900056079068c34caa87a3221759b62d0c1e10c58576
- Size of remote file:
- 5.43 kB
- SHA256:
- 1d01456bb41993c1c3b0ae6cb8d920166c6ed5cbc9403a6281059e324513592d
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