Instructions to use AnonymousCS/populism_classifier_bsample_032 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_032 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_032")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_032") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_032") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cafee3faee1dd1afd9088797caad66fdfc00981c46b982426316542882a48a6b
- Size of remote file:
- 669 MB
- SHA256:
- 77cdd5dacfbacf1b514c0600737f19754b08f7fb22fca576cbe8a510628e757a
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