Instructions to use AnonymousCS/populism_classifier_bsample_131 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_131 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_131")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_131") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_131", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab6f9fd126093d1cb9ac16b743ce8444e8e60bfbf131a55f9387573cc978d993
- Size of remote file:
- 711 MB
- SHA256:
- b916343a6e33506782f64b347eb2f19b1a4592eb84ca3b6bbe64f2ad39647351
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