Instructions to use AnonymousCS/populism_classifier_bsample_291 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_291 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_291")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_291") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_291", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66bf5ce1e05180162c5878138bb2cc84c2c2092521d4b4890a772a42a8b27c50
- Size of remote file:
- 433 MB
- SHA256:
- e8fad11b5fdb1323f22b1ba655866a461074f9c31d2a02da1fe2612cfe1dce5a
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