Instructions to use AnonymousCS/populism_classifier_170 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_170 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_170")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_170") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_170", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8fd4ffc1b3d0944f395723a0829b146d8d67051dfc2cee307be58af0486de6d
- Size of remote file:
- 5.43 kB
- SHA256:
- c3b41b65da21a72a4fb9f150211489f113ebb7c12d5d196e358895f3f7e0a158
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