Instructions to use AnonymousCS/populism_classifier_bsample_287 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_287 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_287")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_287") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_287", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5c8be477400d016ff3b6fe9c784696ac612e59e29ecb81d2dd506fa5ef7be1c
- Size of remote file:
- 433 MB
- SHA256:
- bb49de7bf10e4b769c0ada7eb7e182868181147bccbdf175e1a2985521c8bad2
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