Instructions to use AnonymousCS/populism_classifier_340 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_340 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_340")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_340") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_340") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d090483ad9b887f3bd8513b27e54ce184ef1fb54ddded8e3185da22d0fdcbe7
- Size of remote file:
- 438 MB
- SHA256:
- b424c6c72530096e0028cf2ee27041bdbb8dcbab05a3fbfa080a75f6f1e66452
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