Instructions to use AnonymousCS/populism_classifier_338 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_338 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_338")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_338") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_338", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef34b626d92c9e8757c96aa4cab056d822d2d370affc58b01326c3d2eea50f8f
- Size of remote file:
- 5.43 kB
- SHA256:
- 011a2506351d2ad7a55d63e06e9952dc35743871c4288e9fe76d9dd0091b28ec
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