Instructions to use AnonymousCS/populism_classifier_161 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_161 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_161")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_161") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_161", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac85368907b6ffaa3c0dcc79ac39b4395e902754e78293173674bda2d5266af8
- Size of remote file:
- 5.43 kB
- SHA256:
- a3c3df25463e21dd00eac4b3deb7039835a4d0ecb8e0cc766cebc616697273e6
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