Instructions to use AnonymousCS/populism_classifier_bsample_162 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_162 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_162")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_162") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_162", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 390999ccec6cd5d2596b37dbe7477f074db4341f6013f633284441c8c7165060
- Size of remote file:
- 669 MB
- SHA256:
- fc9b2000357f39cbe29513abcb96aeab79671b4a27e132142097da7d25b30779
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