Instructions to use AnonymousCS/populism_classifier_bsample_343 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_343 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_343")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_343") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_343", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f9471e1d754f818bc4f4a949a6e78b840e62cb9eb757ffe0e53e5e243badb2c
- Size of remote file:
- 438 MB
- SHA256:
- bb9b802fae6f234fa012fca9b549aaeece40f3550fa94b8fda84b825f0ca39d9
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