Instructions to use AnonymousCS/populism_classifier_bsample_324 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_324 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_324")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_324") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_324", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c24621a109723b401ea5d335c2d5cc694e98e7bcaa93028bb69259f7bb64bb0f
- Size of remote file:
- 1.33 GB
- SHA256:
- e99d87bda557994ed2c9201c148407fa8751c98a54c6bc6991606b8486fde996
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