Instructions to use AnonymousCS/populism_classifier_bsample_312 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_312 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_312")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_312") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_312", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5e8d98ab0e02ef759e5049344e80e75ce8c728b82a0db1f53e4109c17a2c57f
- Size of remote file:
- 5.43 kB
- SHA256:
- 6e5b31200df276a198ffd5484091669a495c202ce66dd0fada499ce93f38101f
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