Instructions to use AnonymousCS/populism_classifier_bsample_405 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_405 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_405")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_405") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_405", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6aa33a5a8f7d092bb313fb2b2b8a8d44139c94f56060f7ebd843f95bb0c12c0
- Size of remote file:
- 5.43 kB
- SHA256:
- c48ec104e9462497510fb8f9e91be61de9b3d14378f6cf07926c5ffd10970ad2
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