Instructions to use AnonymousCS/populism_classifier_bsample_173 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_173 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_173")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_173") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_173", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da210cc03b0f2e5832fc2a2ed90dfcc5ccb63c44e557a9b9f9309f2feca2d933
- Size of remote file:
- 5.43 kB
- SHA256:
- adfcc6753c3f2da32bc21d640e70a9393008a5055edf1d3c893574d91778bf74
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