Instructions to use AnonymousCS/populism_classifier_bsample_025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_025")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_025") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e976ec1972fff7578c584292f88ba546090fb793b569b37b7660b1a3d539d38
- Size of remote file:
- 5.43 kB
- SHA256:
- d37482c2e43aea072bb19d220da9d3f80a533797c2d442ef8add6bdffdeb6500
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