Instructions to use AnonymousCS/populism_classifier_bsample_414 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_414 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_414")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_414") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_414") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e89f8fa1ca564227641f1930178b76256674bd938b75edfc2793115079d59d8
- Size of remote file:
- 5.43 kB
- SHA256:
- 7877480db8d98ade5a50a7608303d8f48c0271fe1b1780f435a3b184488e1fd6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.