Instructions to use AnonymousCS/populism_classifier_bsample_015 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_015 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_015")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_015") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_015", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 726703c673e7768dca5509c43dd8171deeb3afff06b094eb2aa27c274cf2283d
- Size of remote file:
- 5.43 kB
- SHA256:
- c8ea69c0fcfbe07e6abeb612bbdc5a066b49b7621347eddfa7a3b303a8ee7b19
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