Instructions to use AnonymousCS/populism_classifier_382 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_382 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_382")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_382") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_382", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae1d2f3030db4291639ad94fade59035ca4393b207b02c42b790b33a11843ea0
- Size of remote file:
- 5.43 kB
- SHA256:
- 5da637b96fb7d42537eadb02196f414d2ec32ed3da29e7a5d22e95fb437dcbbb
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