Instructions to use AnonymousCS/populism_classifier_bsample_021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_021")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_021") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_021") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 046347ae1c1937e280c4ebf57722e9a73dc295ae141ce505ec18e34e698b28f3
- Size of remote file:
- 711 MB
- SHA256:
- 8c0d06e914871c615dac2ed218768a8fecbc363656cd1649e6cf2ef7362ccee5
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