Instructions to use AnonymousCS/populism_classifier_bsample_294 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_294 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_294")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_294") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_294", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcc45363f81690525fa4d6e2471937d9a219c2978053bd9341ac16b37feb9847
- Size of remote file:
- 5.43 kB
- SHA256:
- 322b4d2379d45068d4f068203db48d349e13f358abc69fb5e3a415c685ea71b4
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