Instructions to use AnonymousCS/populism_classifier_320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_320 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_320")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_320") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_320") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec69818978f72e9ce4f6b7591aa925d5485bf70f9fda691038059d74d22bc36d
- Size of remote file:
- 1.33 GB
- SHA256:
- 8630e9e179cf2379eb6573264b2a8bc0b051bd5780ba3f4dc9755df6d5649a18
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