Instructions to use AnonymousCS/populism_classifier_bsample_398 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_398 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_398")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_398") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_398", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd194c2f22272e786ba81685bb01aeab7be13d2cf18c4a1ed59c29d7815ffed9
- Size of remote file:
- 2.3 GB
- SHA256:
- d4f7ea1208c0ed5ba8b73dc1698db3871e517cd527ec391d0853c041f5a14b22
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