Instructions to use AnonymousCS/populism_classifier_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_400")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_400") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_400", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e1ab9324b4958c80c6e83044f53c506450a585a102928269272decb48dc896b
- Size of remote file:
- 5.43 kB
- SHA256:
- bf324c58a92fb37585c776d4765c5bd6cc049fb3bfc10d4554279f61c4f9c942
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