Instructions to use AnonymousCS/populism_classifier_bsample_138 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_138 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_138")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_138") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_138", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 988d398ec664c9bfa053b9d7942d184603a2c40f9820f63548d06ac0ae6c55de
- Size of remote file:
- 5.43 kB
- SHA256:
- 9777d5c90d6b56a3a298edfa453c27c1b01cb746d74eb7b8756c7f7ac596b972
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