Instructions to use AnonymousCS/populism_classifier_167 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_167 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_167")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_167") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_167", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5342632556d8508603cc068b66c65fbd66b7939de8db2d14b6cfb3051d8bbf84
- Size of remote file:
- 5.43 kB
- SHA256:
- 3efd2bd401a9b84ac1eeb2865b0313629c0d16847ed10c6a7841e56d848f0080
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