Instructions to use AnonymousCS/populism_classifier_bsample_142 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_142 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_142")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_142") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_142", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 891fa7290077f293ebbf4c7ef76cde89ba3f93bfabe1d0a42ee91bca871ac6e5
- Size of remote file:
- 711 MB
- SHA256:
- 4728fd65518f4a500db859ad81dfdeb2e38072cb2a0271c45617d51e197367f5
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