Instructions to use AnonymousCS/populism_classifier_bsample_013 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_013 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_013")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_013") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_013", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aff40807df6d241bd00ddb65a1bd8a4586f97e3ae966fe89e96e2559ad020985
- Size of remote file:
- 5.43 kB
- SHA256:
- f769bef61987fd922656ce3f3633bfa9894ac6c5cb982f33ee009a2b29eb7574
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