Instructions to use AnonymousCS/populism_classifier_bsample_361 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_361 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_361")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_361") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_361", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c40c88859ac57753e57b10a191b4d47e6c382eebe646dc6c7f3641c5a5fbfdd9
- Size of remote file:
- 438 MB
- SHA256:
- 95ecd2ca8187c9225d7a596f438db995d0524c8f98b1eccb0dafac35803c7f1d
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