Instructions to use AnonymousCS/populism_classifier_bsample_154 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_154 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_154")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_154") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_154", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17c086fcd51a5283cda694b7a39a37e0efac7c2c731d1557dd8eac8eac437f3c
- Size of remote file:
- 5.43 kB
- SHA256:
- f8ada8458aee60e513b5316371035f987b456635a86846272726b74b1b350b43
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