Instructions to use AnonymousCS/populism_classifier_150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_150 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_150")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_150") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d65e52e77589d096f119a7028e978d0cf928a8c90c37106e1ca5f88ec581dff5
- Size of remote file:
- 5.43 kB
- SHA256:
- 4865ec91e1f8980b935b6f831a193f052791b8ded713071af1beef95ff5c9956
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