Instructions to use AnonymousCS/populism_classifier_331 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_331 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_331")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_331") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_331", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b56b0f6e558d4e9cedc40f73882c9b45c7aff4d776c6ad7c0e1dc66e99e1a52
- Size of remote file:
- 5.43 kB
- SHA256:
- 8018fbea35b4c923a25976fadd3b122591bda7f0413536ec6f435417b6146930
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