Instructions to use AnonymousCS/populism_classifier_bsample_029 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_029 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_029")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_029") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_029", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 079ccd415eb2356beb4e6a0344e8e5ad9786985688911e11872c8eb0efb70c75
- Size of remote file:
- 5.43 kB
- SHA256:
- 1d7267a7de8d9a751989642ebc0dd132d93e24dcbd3ec97bb2727e1e2769d844
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