Instructions to use AnonymousCS/populism_classifier_bsample_305 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_305 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_305")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_305") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_305", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c483eebdfb80b456740d306a0e05646f27b96a04f3fb46fb9c7ddb82c205815
- Size of remote file:
- 433 MB
- SHA256:
- 2b3c6a3892c4162a2721a2305e1d0223e79f8d5ad694b7f90f3dd750cb7bff53
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