Instructions to use AnonymousCS/populism_classifier_bsample_169 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_169 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_169")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_169") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_169", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61f717221d2a3de5435d94a64cf3ee64ad52168c609dd9adeb23326b3040cbcd
- Size of remote file:
- 5.43 kB
- SHA256:
- cf477ba451b211ad4dddad1599d21bbb093a01d9716811abd9742b75bc323d6b
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