Instructions to use AnonymousCS/populism_classifier_bsample_301 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_301 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_301")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_301") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_301", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72284c4c6a404c91b8986be8b636230adee8d2db455c193f6b7849e1b89026f2
- Size of remote file:
- 5.43 kB
- SHA256:
- ff43e083e0f6c21d8dc453cb370ba0a746096525645bf7e3c1af882d7577d59f
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