Instructions to use AnonymousCS/populism_classifier_402 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_402 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_402")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_402") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_402", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01be6c5d65d83fca92ea5d322e9e4ba816cc4c9384f928629e2eb6cf0bd7a34a
- Size of remote file:
- 5.43 kB
- SHA256:
- f4d9db72eb4f011ea3bbd8e1e8287602f392d8d084a90d3b67131fd951669b9c
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