Instructions to use AnonymousCS/populism_classifier_bsample_152 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_152 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_152")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_152") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_152", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69a32bd1741ec93cbef7ce05600a3e055bd445b725591fd1084291c7519d606a
- Size of remote file:
- 711 MB
- SHA256:
- df6254866b4c69edefa01c89ed5feb12b82eb939b0f8e14a4132995bf58be02d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.