Instructions to use AnonymousCS/populism_classifier_bsample_334 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_334 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_334")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_334") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_334", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96b013931a3d07d1216cb7ab60c014313b9bc463ba6e0464cdf694862893fe66
- Size of remote file:
- 5.43 kB
- SHA256:
- 5d2cb94e80ce5471f53fcf1c207996dc35ba829dd317a0b40568cf6faf084566
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