Instructions to use AnonymousCS/populism_classifier_bsample_141 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_141 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_141")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_141") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_141", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffe94cc06f88fca8c23307d41a7e07d735edec4cace312f47770b1f161932008
- Size of remote file:
- 711 MB
- SHA256:
- eb27cee512988483d380c26d1c77bac867c584b5b58aaa91509a069d0cc2a4e6
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