Instructions to use AnonymousCS/populism_classifier_372 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_372 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_372")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_372") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_372", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fa6b87e667a9e577f1453c2c370f94631c1d28dc0adf77cfde25b76b2a165fa
- Size of remote file:
- 5.43 kB
- SHA256:
- 3c91641488e81b48d24772e3e9877b8dbaa1f99bd96e55f2ed75643e770f997a
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