Instructions to use AnonymousCS/populism_classifier_bsample_051 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_051 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_051")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_051") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_051", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7ef2407f682a1baf0fee603b14612c8eda80a1035f91b105c2bf47b477a0509
- Size of remote file:
- 5.43 kB
- SHA256:
- 65e799997c57840db2b05e9de8252938f5dde5d0594295a6aac1d8c30749ab9a
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