Instructions to use AnonymousCS/populism_classifier_408 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_408 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_408")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_408") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_408", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d88641a1d13d396eedb99e327b2f5b78bc4c0a0f7054ea035cea25e455d3991f
- Size of remote file:
- 5.43 kB
- SHA256:
- b25a40df82a6282ed1ca7fc08996eaecb1713b9a22ef1ec3c18ac62cf4be7058
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