Instructions to use AnonymousCS/populism_classifier_310 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_310 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_310")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_310") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_310", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c1e52606f3e47ce964a526b9007f15a9d538ba9592e8fb1281469a9c97e4725
- Size of remote file:
- 433 MB
- SHA256:
- f69c7d2925f81dbba693e66b85be47440abc68da59d536a04fbf58b466ac4e0d
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