Instructions to use AnonymousCS/populism_classifier_bsample_356 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_356 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_356")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_356") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_356", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee5352b8fe2d59a2ca09a322c8fc995a8c5c60c45dbf628a5395d31c88cbb99e
- Size of remote file:
- 438 MB
- SHA256:
- dccf5cd11647317ba0a69f53d8f0e67685b55b7042eb27ebf6924da3d67111b7
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