Instructions to use AnonymousCS/populism_classifier_bsample_151 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_151 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_151")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_151") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_151", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 850627857cf8ef3bdc35335a13f2418bff4758ba09b68f766fabac2049ce58d9
- Size of remote file:
- 5.43 kB
- SHA256:
- 98cc9e8503976737fb638b0e6a3d8ec622f6c46d68be91df2dab101e6025e6b5
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