Instructions to use AnonymousCS/populism_classifier_bsample_342 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_342 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_342")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_342") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_342", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de92e1ba9d551d7ed77d0bfdd4612f6c1b56d0b8d0fc90ea238dfbb88d85df0b
- Size of remote file:
- 5.43 kB
- SHA256:
- e4a912542d01a5f391a76536fe4f93fb86a13ac16fe904bc2aaa350a4ce25980
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