Instructions to use AnonymousCS/populism_classifier_287 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_287 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_287")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_287") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_287", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f83952bb1d6f6354893f6008d5d3112a7482ec12030f0066808c22def6686652
- Size of remote file:
- 5.43 kB
- SHA256:
- 3ff0ecadda4d331b913fdf227ffd64f805bbc720aac0cdf166f5485c4863b1cd
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