Instructions to use AnonymousCS/populism_classifier_bsample_369 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_369 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_369")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_369") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_369", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fd8b4e6c61a529e569d9201574138fd4e34807eda19e893078f1a5d4718b717
- Size of remote file:
- 5.43 kB
- SHA256:
- d6da6270e9f8c8806d54c836721d9c70ba822a240456bd13545ca70b8a84139c
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