Instructions to use AnonymousCS/populism_classifier_bsample_030 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_030 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_030")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_030") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_030", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4a5522d8815dc43f5a124f7115991fc919fb117a282fa5c5407472486548c24
- Size of remote file:
- 5.43 kB
- SHA256:
- b2f10e1bd0430674a0b23806b3315519e142ac9dcf57f5bf883c5e8404d87508
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