Instructions to use AnonymousCS/populism_classifier_bsample_017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_017 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_017")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_017") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_017", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39f24952dcc0dcf83b8eb782e9d5643ca627e423a93f92d9de4b89ad531162de
- Size of remote file:
- 711 MB
- SHA256:
- 9e1ed4768680c4b44a5fed1a37a97e6393f64a6f6d8e4e3a06e40cb0684421c3
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