Instructions to use AnonymousCS/populism_classifier_bsample_357 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_357 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_357")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_357") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_357", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4736b16490652dad389fa33aa18828b29a8f79dad6c75460d1bc6bf5a5ea6542
- Size of remote file:
- 5.43 kB
- SHA256:
- 7f26b151d4bb40dd8850b2987a3362be5f56dd78c5957b18fe8786d1cde59478
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