Instructions to use AnonymousCS/populism_classifier_bsample_140 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_140 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_140")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_140") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_140", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a422f68097f35cde4e8c901d64c00750cb64db2781dfc91a9238aba5b650eb16
- Size of remote file:
- 711 MB
- SHA256:
- 2dc5e3239c5fd40e454311fd66e0cd832a78654ac76ba4dd51322bd55f4691cf
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