Instructions to use AnonymousCS/populism_classifier_345 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_345 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_345")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_345") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_345", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c80e4bab1a4c91369d9718a62c4434ecfcf78d5c56c459c0df992c261ec60167
- Size of remote file:
- 5.43 kB
- SHA256:
- 4239f6268d58aa38e77ee78b51b56c49c69a0c503beb880e4b84739f730fe3ba
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