Instructions to use AnonymousCS/populism_classifier_bsample_313 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_313 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_313")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_313") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_313", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6010fe823ffca0ccc7f205a76fa03120a922374b84c278d33890aca27718fd5a
- Size of remote file:
- 1.33 GB
- SHA256:
- 04452fb7faada7079bcfca00e85e0e8795c34875212a01ca418f5e0616039b3f
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