Instructions to use AnonymousCS/populism_classifier_405 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_405 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_405")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_405") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_405", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23c79ca64d1e689640c6f7893e53beddf5061fb3001094e402f17e72fc31e529
- Size of remote file:
- 5.43 kB
- SHA256:
- 40e7b2ba224b5bcdbadc1c2111cc12143052fc21b191a9f9636d707844f8d520
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