Instructions to use AnonymousCS/populism_classifier_343 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_343 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_343")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_343") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_343", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcc58558a22fdf3c6722e398f1fca1c9127d0f07f08edb54c67eb2e5efd3bf5a
- Size of remote file:
- 5.43 kB
- SHA256:
- 23c7e1ffb81fc23256c30b88df2eb8b21634fa2fa09dc5a87268d0f2d8fe3c20
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