Instructions to use AnonymousCS/populism_classifier_bsample_047 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_047 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_047")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_047") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_047", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9044d2424cc9e41086fc88fc08a6463da980ff8ba569f723cf411a5c69736a66
- Size of remote file:
- 5.43 kB
- SHA256:
- d1595b6104a0b46bd1eac6ff2c3fafca8b9e316af93cf128cb3049195fa2b47c
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