Instructions to use AnonymousCS/populism_classifier_134 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_134 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_134")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_134") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_134", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82db410d6e3fb8414802ab90ba65d0cdd9b923ccb89a14e047b63a90d60eaf31
- Size of remote file:
- 5.43 kB
- SHA256:
- 86b42e4742b9291ca996432a32a92bd4dfe393ffefbd63c8b75b06037efff397
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