Instructions to use AnonymousCS/populism_classifier_bsample_287 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_287 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_287")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_287") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_287", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b1581d8a8bbd7d7b3417f969f14e45b44799511423033e83f0e6a520984a849
- Size of remote file:
- 5.43 kB
- SHA256:
- 2651b55bf213bc4717bf8cc1bb6358d3835c42eb3b24bec92d5cb455986f533e
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