Instructions to use AnonymousCS/populism_classifier_bsample_158 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_158 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_158")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_158") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_158", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b90332f018c1e15968b8ca1f8f0c0b9a9ebbb028ede3a8254a21f3130478133a
- Size of remote file:
- 5.43 kB
- SHA256:
- 01220de04ae68519fdd3ae28418ff82630fc4ee422644c95aafe859d06f3ba30
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