Instructions to use AnonymousCS/populism_classifier_bsample_038 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_038 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_038")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_038") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_038", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b71d5bab923474316c122cbbfaefe1be2eeecb94ed3969bbd1a76d4492ea2926
- Size of remote file:
- 669 MB
- SHA256:
- 0f54ce597b2bcf2f2105cb462c2217c4709873bd0a177c79952a303e99d12297
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