Instructions to use AnonymousCS/populism_classifier_bsample_013 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_013 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_013")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_013") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_013", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f90a21154d2472b4680536d04419ec16e612486571b3413e5b21f67720891db8
- Size of remote file:
- 711 MB
- SHA256:
- aa2f3f3ec96c75c7647651f1fe81f34539bc188054b3f86b8cd3f651651b9ba3
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