Instructions to use AnonymousCS/populism_classifier_bsample_176 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_176 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_176")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_176") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_176", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79cbb2818b638c14ee072737d7bb07b6a2ace3a58ea1985ab9f4b9bce8038f68
- Size of remote file:
- 669 MB
- SHA256:
- 4aae883fb18fd054559fda2a97141fd62912bfe39360a8df82e6597d2c60fcbd
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