Instructions to use AnonymousCS/populism_classifier_155 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_155 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_155")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_155") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_155", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f52fe152ffa872062479b2a22339944b33ae8ca0a944b87f047bbd8b3c3a0f67
- Size of remote file:
- 5.43 kB
- SHA256:
- 61955d1bdb7a7d703a8cfeebd587fb62acd0563635b4918bf0b4cfec3b6e0ad3
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