Instructions to use AnonymousCS/populism_classifier_bsample_144 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_144 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_144")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_144") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_144", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c976b83ddf44f48f194a8048c8539151835a1249e30dcdf5f81f42b044160f4
- Size of remote file:
- 5.43 kB
- SHA256:
- e3b949058207b057136cabc206bd6e94b2334a053340127dc2e86d151ff3ab3e
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