Instructions to use AnonymousCS/populism_classifier_303 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_303 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_303")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_303") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_303", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef8a0757c1457aaf29f709beeaf3da2e705b5d0d11253ee433496d869b8f7a28
- Size of remote file:
- 5.43 kB
- SHA256:
- abf75dfeeb4ff60ff4490b13f2f408509ceeb1977948c593e98d01226d7e6c16
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