Instructions to use AnonymousCS/populism_classifier_bsample_179 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_179 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_179")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_179") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_179", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9f82a8cc20c11fe8d7afbc94d42a3565900d27fb8df74d50f4589962a76d8f4
- Size of remote file:
- 5.43 kB
- SHA256:
- 454a91f8478a48153dc089b5c7b2428debdf5cb7e255fb91732142f57a28f1e3
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