Instructions to use AnonymousCS/populism_classifier_bsample_305 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_305 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_305")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_305") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_305", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8dc448c77a9d3d0a383aa644e49021d4f50989a6b430a09730cfb69514dded9
- Size of remote file:
- 5.43 kB
- SHA256:
- 77bf6a306d76712efadf36983b6e957c6f7b0f706f064a016b56d47ef6f65c9d
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