Instructions to use AnonymousCS/populism_classifier_335 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_335 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_335")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_335") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_335", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40b605aabe227544dd8706ac2bf7accad53d84a48168b3a10bb06bb82b770a57
- Size of remote file:
- 5.43 kB
- SHA256:
- 150aeb4104d84d51e238b1d9ab7ae4ff848b1ca073f62a451a18e6c10135151c
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