Instructions to use AnonymousCS/populism_classifier_bsample_174 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_174 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_174")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_174") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_174", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 736dbe39b54f75292c842fd0454a91d7447ea47a3f06f3a11d553d92e8d29c1a
- Size of remote file:
- 669 MB
- SHA256:
- 5c1fa6f368678c1688a320369e3092e4a5194e831a8a3f52a4f3c1e56707b67b
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