Instructions to use AnonymousCS/populism_classifier_bsample_373 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_373 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_373")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_373") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_373", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb599e2b319c2b22b3a38375702777cad220e4044e79e16ca409e02d1845e219
- Size of remote file:
- 5.43 kB
- SHA256:
- c2402787af43f73d8fe3fc5951d0a389d50395b3c3497c887f1d1b3477cd4880
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