Instructions to use AnonymousCS/populism_classifier_bsample_049 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_049 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_049")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_049") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_049", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58c50347e8fb278a3a777efbef47d0f5f0a92297bb81a0dd9e5cb8f30d9a9d04
- Size of remote file:
- 5.43 kB
- SHA256:
- eb2f9825e3ebf98a99757b2fc2f617088bd18ec143ae191e79b2aae2a5617596
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