Instructions to use AnonymousCS/populism_classifier_bsample_340 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_340 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_340")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_340") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_340") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c316424c0f66c96b59f90ddd445fe719970850e86b5c0c8522aee81b08875f45
- Size of remote file:
- 438 MB
- SHA256:
- 98a77d2db1aa3631d1670013a41b1a5011f3a582a45086e5d1dcae36f4ed976f
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