Instructions to use AnonymousCS/populism_classifier_bsample_139 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_139 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_139")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_139") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_139", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f2e30ae9b614748a843b7580d720ef531a0f3ae19e93f4915326c9f46a6f7df
- Size of remote file:
- 711 MB
- SHA256:
- 65acb469dadb2a51ab2060a66556033f0ecaf69d989f999f16a914f86d69ea32
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