Instructions to use AnonymousCS/populism_classifier_bsample_408 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_408 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_408")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_408") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_408", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 588eb50521c571dbc17a2839971a950c5c3fda22b50b4c2df725519cec08cdf6
- Size of remote file:
- 2.3 GB
- SHA256:
- 8679198e886d89bede31b58d1f7a53f3ab1d356057db040c0b649d1d8e4f6a92
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