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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b57638a060f1d23503ee4d9bc6b6ecc65a1028c0cb69a77a139f35c87aecd49c
- Size of remote file:
- 14.5 kB
- SHA256:
- 7377babedd7b8472d083b1abcffec26d0d6a644b2a9b36d56adb964fb22676f2
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