Instructions to use AnonymousCS/populism_classifier_bsample_150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_150 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_150")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_150") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d7769a017ca727075c1c27244bd785eeea8bcfae75671b9af1ff78bca50df44
- Size of remote file:
- 711 MB
- SHA256:
- 75cfc4ce8b4c554d896516bdf2afe59da7416d50bf04d1a5ad4e358d7f803bbf
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