Instructions to use AnonymousCS/populism_classifier_bsample_409 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_409 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_409")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_409") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_409", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65d983b5717a6612ee567401658d0ea4a800c55948aa2b5c669a4bc0c6ea7ebe
- Size of remote file:
- 5.43 kB
- SHA256:
- 1bf4d1e49a5a3d3f33797e9209a47e1d9b43adb8f6bf98026ae46ef6a84bd753
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