Instructions to use AnonymousCS/populism_classifier_bsample_412 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_412 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_412")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_412") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_412", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00e88cb700d7202486c79782ccbe9fd7bfb5c16de03b438f31469c9c8cc424e5
- Size of remote file:
- 2.3 GB
- SHA256:
- 39ad45ca7dd6d4a137deb9384bb58e51f90e6a2610eeb665857c5108115e3d54
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