Instructions to use AnonymousCS/populism_classifier_bsample_395 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_395 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_395")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_395") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_395", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 522266c564a6171ba2fc1f65f8ba21be5ee315303464d306ecbe78e67e1f4212
- Size of remote file:
- 5.43 kB
- SHA256:
- 262eea6ec8b7b6eb3e4bf22fac70cd78c8bee2c0e7da0aaa9a14b48a7012efa5
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