Instructions to use AnonymousCS/populism_classifier_140 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_140 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_140")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_140") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_140", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad7f296db11abe76dffcc4d53079a7ac172eef3e0957dae429c22df8bee9edfd
- Size of remote file:
- 5.43 kB
- SHA256:
- 94088a09bb76e926c108ce12251281a543ba13b386c4208b3a409eabfe8da090
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