Instructions to use AnonymousCS/populism_classifier_bsample_314 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_314 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_314")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_314") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_314", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ad24ea40324973f2123965d0e4c7d295fd90a82153328af12918089ad36265f
- Size of remote file:
- 1.33 GB
- SHA256:
- 081af0bbb1704bedbad4f6f59e126eafc2fcf9bb95cfa9926cda67094eea20c5
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