Instructions to use AnonymousCS/populism_classifier_bsample_134 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_134 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_134")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_134") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_134", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bbdd958b1e6511f0d090fca6d6ce26156772a2bf11af8b5d35b5b0a93d8a0d5
- Size of remote file:
- 5.43 kB
- SHA256:
- 44d49e25a79697b48de03ab5c7e9f64f127b980b264a751da0b6bd1fc19bfe78
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