Instructions to use AnonymousCS/populism_classifier_bsample_349 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_349 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_349")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_349") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_349", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89e989ca6a61032749093c0a76c480abe716b9337076ae57e748652b632ea730
- Size of remote file:
- 438 MB
- SHA256:
- a8850adc40ae1ab6a8bc6e2fd8f41124ab19970a071eee6efa8e4bf90fb28aaa
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