Instructions to use AnonymousCS/populism_classifier_412 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_412 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_412")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_412") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_412", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9aec520e75638569dd9669c583806bceb860a51cbbf6822fa94969c435cf69c1
- Size of remote file:
- 5.43 kB
- SHA256:
- 9f41cbc7f5f5812dcb7d242caa4c344dc00cbc65d72f961ea0cc1588b21a6024
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