Instructions to use AnonymousCS/populism_classifier_154 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_154 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_154")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_154") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_154", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45d2a9e7301b9d528b375940379ec3c348fe078d97441089311c6861ea1be5ff
- Size of remote file:
- 5.43 kB
- SHA256:
- edf0656eb79265fdf25783dd8df0e42130d5b89dfba6476cb2b893e23b71a708
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