Instructions to use AnonymousCS/populism_classifier_bsample_347 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_347 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_347")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_347") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_347", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5002d48dbc09bcbaeaf65941bf087617ed69257456c07c6aae1d0850bf24c512
- Size of remote file:
- 5.43 kB
- SHA256:
- c3417ffb15ab0c28030788923b3ec389b395939efe7fb58b87aa41aff8a42137
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