Instructions to use AnonymousCS/populism_classifier_366 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_366 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_366")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_366") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_366", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d7a4bc209e104fc93a6feba2781858269e13a35780dc5215bb71be6b5702c66
- Size of remote file:
- 5.43 kB
- SHA256:
- ebc7c0e7601b78a7203dd83d45efa5aa5db117ed7cd446d4c8e0f72ca2e0b977
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