Instructions to use AnonymousCS/populism_classifier_bsample_288 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_288 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_288")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_288") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_288", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79a9cf147abbb4e12870c6f81c9799d70e93dbe1977c55525b88ba07b18d09b9
- Size of remote file:
- 433 MB
- SHA256:
- b71397f4c47a895df9ac161d5d7825738fea08bc4b8aa3c76411f038cbd46ee0
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