Instructions to use nbroad/ynab-pairwise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/ynab-pairwise with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nbroad/ynab-pairwise")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nbroad/ynab-pairwise") model = AutoModelForSequenceClassification.from_pretrained("nbroad/ynab-pairwise") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92d6c1a95e79c3990c6fa601663de984b2b0d8faf99ca7f53b1376eb3d008a74
- Size of remote file:
- 4.86 kB
- SHA256:
- aa6dcd7f8a1f6f7069d8fd6c34ec2e2b43dad2ca1ea8f63a0fbc71667441aa6a
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