Instructions to use AnonymousCS/populism_classifier_bsample_040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_040 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_040")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_040") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_040", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 026f202eb8a216944b0928525c6e6501a5b1a69163ff785e5ee18eed3c70f211
- Size of remote file:
- 5.43 kB
- SHA256:
- 30f6a48519026e2986d48fa9eb5e4ba63162db6c1836016bc73a925acc4c9aa0
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