Instructions to use AnonymousCS/populism_classifier_bsample_007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_007 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_007")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_007") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_007", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a5a2445135aed9fdf481ed956ba611a6903b7318f250f8b21bf9be503a8ae43
- Size of remote file:
- 711 MB
- SHA256:
- bff52c2e00853c25860c20990bf0f15156d7e275939aedf6d77f6c5c7db64b82
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