Instructions to use AnonymousCS/populism_classifier_359 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_359 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_359")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_359") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_359", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47ad92919919d1b6e5db0ae4f43e3c5cd565dd66320a1aacaa741d2a63c5b280
- Size of remote file:
- 5.43 kB
- SHA256:
- 4b5f962009bd3c45a01eb7671532ca0a31c9ac55901c1778ed9d37b3e23aad50
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