Instructions to use AnonymousCS/populism_classifier_bsample_147 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_147 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_147")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_147") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_147", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 805d29e99767dc7809d2b54f8a5cf67c2c90085715ef0e52a24cb6ef445e6f9c
- Size of remote file:
- 5.43 kB
- SHA256:
- 0a09fa1e2e1089ae6be7bb2474968c21230a6259ab62919e676a326546595f35
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