Instructions to use AnonymousCS/populism_classifier_bsample_014 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_014 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_014")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_014") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_014") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7296368b5382542bc9aee7df4cb190d9af7b4328f97a551ca86832505ab9ba4f
- Size of remote file:
- 711 MB
- SHA256:
- 6c0676544e6934d99d7f6da75ce20af4254d54f3a9c909105371fcf0470cd760
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