Instructions to use AnonymousCS/populism_classifier_bsample_004 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_004 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_004")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_004") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_004", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e8b9e6b53d8def2468bd3ec46ae7de7b54ce935041fc1ff151dd8000f60038d
- Size of remote file:
- 5.43 kB
- SHA256:
- 74f0b4492ff1e7cd9bb856370c2dd9a396dbd401f8c85a0767a97dfe33fa3299
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