Instructions to use AnonymousCS/populism_classifier_bsample_394 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_394 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_394")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_394") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_394", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfd0c2775322e609a2deedf6bf2c4fd9482c1bb0d69c2fca1fbae8362db81020
- Size of remote file:
- 2.3 GB
- SHA256:
- 7de52578093711edf603c1cdb82e4d64f2db6d0663ac3e61eae19eb79f6da916
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