Instructions to use AnonymousCS/populism_classifier_172 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_172 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_172")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_172") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_172", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79f955054fb43c014db2d06ebf99063f92f346e802d27d329b76e579b4674578
- Size of remote file:
- 5.43 kB
- SHA256:
- e198e332ed03d14bc5f235368ce17827daab908d407b3b78db3925dac7e2871d
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