Instructions to use AnonymousCS/populism_classifier_148 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_148 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_148")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_148") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_148", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd567f6c5f1f8ca573fe8bcc81e938be1f23a1dcbafaa8708301cf44bacb7cfb
- Size of remote file:
- 5.43 kB
- SHA256:
- 198f8b3fb12263877ad0e381275b4b35368a33c4c9af7629e6f78dbfe4c02dc8
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