Instructions to use AnonymousCS/populism_classifier_bsample_009 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_009 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_009")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_009") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_009", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7043fac8345fdaf2d3e14612aaa9c5347a15d668a0e18fdacbf60083ede5a469
- Size of remote file:
- 5.43 kB
- SHA256:
- b3fccf8a81ea2297032251ab301ec3486a44ee4eb4dd68af94c2f6a136ac987d
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