Instructions to use AnonymousCS/populism_classifier_152 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_152 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_152")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_152") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_152", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d07485e2ce9e8f616fce7a98a9a510e7fca135102a686259e41ae6a5fb5fead4
- Size of remote file:
- 5.43 kB
- SHA256:
- 71a97e5291b4bff7f7b8c76918d793cc6addfcac6f459f862945f3980dbfd5ff
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