Instructions to use AnonymousCS/populism_classifier_291 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_291 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_291")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_291") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_291", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59b832170a1f7f50f492dc526099a616477e82c1c4e002943d1f4d8a9ca59238
- Size of remote file:
- 5.43 kB
- SHA256:
- 49b2b9dbebddb36a7b1fde969bbcd325b0b9b06e98d0acdaef86527d6728774b
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