Instructions to use AnonymousCS/populism_classifier_396 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_396 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_396")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_396") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_396", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9cc2afb416dff41ea201dd3848fef448a60d7b80442e1fd3ec2ef725eacdae4
- Size of remote file:
- 5.43 kB
- SHA256:
- af9e5eac3b726e341afd545bef82951277329cdb6a7109f1d3545ef9b0c4dc48
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