Instructions to use AnonymousCS/populism_classifier_bsample_292 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_292 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_292")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_292") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_292", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acf53d581785d49084232f61d4d0654c0126ed06f5f655f5d79bdc69258d01f6
- Size of remote file:
- 5.43 kB
- SHA256:
- 6c4891e43258e56b31c03914abe72fa372b80436a5323c8eef46e51ed8a61658
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