Instructions to use AnonymousCS/populism_classifier_bsample_323 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_323 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_323")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_323") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_323", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55aba7dc20e92ee69dea7bcf49aa8234c3ccd4692c3147b2abfaf34908511f7c
- Size of remote file:
- 5.43 kB
- SHA256:
- 814b7ed052d19f6eef983e2e308ab1b6d9094c26490b57edd81dce773c8a9f12
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