Instructions to use AnonymousCS/populism_classifier_bsample_049 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_049 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_049")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_049") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_049") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7bb2f5905a6339c336f4a8b80cbf99e4b6bc81fc3f3b9229e42b65d9dca9ec5
- Size of remote file:
- 669 MB
- SHA256:
- b5a43c18ae2f50290bbb83a31ec405a493b4b89e00b889b520567537e1e4dedc
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