Instructions to use AnonymousCS/populism_classifier_403 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_403 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_403")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_403") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_403", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3499c065c1ffe7bef510781eedaee93c6f3fa62da0f242df5a1651b7ce6a14fc
- Size of remote file:
- 5.43 kB
- SHA256:
- edfb6cab267f571693cf778e0ae666ab1553dda2d71f41ee178d2519a861ac67
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