Instructions to use AnonymousCS/populism_classifier_bsample_002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_002 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_002")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_002") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_002", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53c782141e9607c0a229370fee9c3cc395fc80abe03a2b9cb4b30e946426d18a
- Size of remote file:
- 711 MB
- SHA256:
- 8fee79a154f8dc7a756a677ffcb8c057fbf1e2ca716cad23dfa44da72973beea
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