Instructions to use AnonymousCS/populism_classifier_376 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_376 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_376")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_376") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_376", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b674eed0fd96dbd302d4e60569ca73da12d70a327406de97d956d3a3fd80455
- Size of remote file:
- 5.43 kB
- SHA256:
- 8eb34cf874e4d017ad898799d4abc30da126bf717f0b49552d783ef4538c1740
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