Instructions to use AnonymousCS/populism_classifier_bsample_148 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_148 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_148")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_148") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_148", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 478d184db8e9875d703773b3448449e1b011ecaaf8cae2094e7060445076a127
- Size of remote file:
- 5.43 kB
- SHA256:
- 7081c9c98ea747bdd8c172d17a761a89f23f8621820e5fb6bb0abf65104a9e82
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