Instructions to use AnonymousCS/populism_classifier_bsample_179 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_179 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_179")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_179") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_179", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d7944d465f05be29fc5b9e5d1fdc802422f817c1bb3bef5cbb778d1263275d8
- Size of remote file:
- 669 MB
- SHA256:
- 05f4d3cfff1d216cabc1dd26dfa5053868cd281f202a4ecd1140b3f82a64de4b
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