Instructions to use AnonymousCS/populism_classifier_385 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_385 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_385")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_385") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_385", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2e8de7b515889debdb8ba00d0da7dd4e88ed0664e2d08be0f85440b0c61a7fb
- Size of remote file:
- 5.43 kB
- SHA256:
- 542e61bcd669f2593298f811e4ad0db7e9bff8fcf067e5c819bd9091fb6483c9
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