Instructions to use AnonymousCS/populism_classifier_355 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_355 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_355")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_355") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_355", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2e4feaa00300571dc970c7801f4bc6cd1514e64e7a9a9f539cfd99ead8cce44
- Size of remote file:
- 5.43 kB
- SHA256:
- 05f138e8ac055614926b1408b527f0a17e5e11be8b8d2684a81a4aaf64ea7d79
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