Instructions to use AnonymousCS/populism_classifier_bsample_155 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_155 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_155")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_155") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_155", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11b77b2fd0e5e4b009c8b60ab5bfdb1a16cfdad46c5cca52615cc2952a17779e
- Size of remote file:
- 5.43 kB
- SHA256:
- 9cb9093a95db1df822def5c35909e242083129157fb02fd0cdf2647ac7ccd59d
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