Instructions to use AnonymousCS/populism_classifier_305 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_305 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_305")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_305") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_305", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a560096e1d2744deb9086e22955796da681dc3269bafa6d193aad549bb47a96a
- Size of remote file:
- 5.43 kB
- SHA256:
- 18d504346415dfd9bfe3087f6a9981e9f49d6a3939b44ca3d21e008716163e95
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