Instructions to use AnonymousCS/populism_classifier_289 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_289 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_289")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_289") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_289", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62ec19efb51f3cbedb1eaff4cb0cfc9e099d9b0ad46a2698517ae764b5d59752
- Size of remote file:
- 5.43 kB
- SHA256:
- bb0de88de986e0926a37c8463cb8f79ffce0fe2b2614fbe2ff8113375ea595bc
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