Instructions to use AnonymousCS/populism_model331 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model331 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model331")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model331") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model331", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3827612563232ea7a0a4b7bf0ac09a095af1656abaee86b5c582b218573ac8a9
- Size of remote file:
- 2.3 GB
- SHA256:
- 6cc8943c32284b0b36a166a666f8910c56689e6eab3594565394a1f20efb69b3
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