Instructions to use AnonymousCS/populism_classifier_bsample_028 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_028 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_028")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_028") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_028", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53b7700c0abc5b083dae874bb93738f2a288d118ee9e98052c9c21fd55a21412
- Size of remote file:
- 669 MB
- SHA256:
- c0384315691c5c6467cd2fc4d0be05f2b369c60d4ace76235dea6ebb6544ffd3
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