Instructions to use AnonymousCS/populism_classifier_131 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_131 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_131")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_131") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_131", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 737bf15f3901afe773f58d266f81351340cc3b0e0769fd06a71a3c2fcaaa720d
- Size of remote file:
- 5.43 kB
- SHA256:
- 85f69cc6a7a8cfcc3cc157f4f700e479b0bc19deb54c5c419f71f260f036ccce
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