Instructions to use AnonymousCS/populism_classifier_bsample_403 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_403 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_403")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_403") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_403", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 850b8492ddd4a99c9313a94436bf8653c516f9a3fb36b4a97fd96a8e98ec28f2
- Size of remote file:
- 5.43 kB
- SHA256:
- 917cb6052d1b3ffc3a2de35141385375402510ec84b3e04ea445b24ae3e48123
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