Instructions to use AnonymousCS/populism_classifier_bsample_032 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_032 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_032")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_032") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_032", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c20bf4f14e0ada5d5b23eadaeb1156850a57c2a76b2c534639fd0fbef4887a45
- Size of remote file:
- 5.43 kB
- SHA256:
- 7409f4712a21850edc82e42ec628b5fbe79fb62bee69b6526d61fe0ce5b7ca6c
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