Instructions to use AnonymousCS/populism_classifier_bsample_415 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_415 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_415")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_415") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_415", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2ce77a5e4a9c1c1ad6aace13a94a3bb2eb050e634d644bdeeeaaaed9055c059
- Size of remote file:
- 2.3 GB
- SHA256:
- 256c926eaa8620ebdd2740fa261ce592d837895b09d52b0328d78ab5dadd8509
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