Instructions to use AnonymousCS/populism_classifier_bsample_027 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_027 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_027")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_027") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_027", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 508ce3da4941969b1bf187815b76041850a3b593908591c6c94e56776ae2f869
- Size of remote file:
- 5.43 kB
- SHA256:
- 2633c5cf5bc8f18325335aba42c97e47fe75af6baf2a59af73834b470f22b15b
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