Instructions to use HYdsl/FinQA-Table-random-DeBERTa-Reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HYdsl/FinQA-Table-random-DeBERTa-Reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HYdsl/FinQA-Table-random-DeBERTa-Reranker")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HYdsl/FinQA-Table-random-DeBERTa-Reranker", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24e0baed2a6d5c23112e6bab45d9a5877f3b580e0021bbb2050cd8f6b319dae3
- Size of remote file:
- 5.3 kB
- SHA256:
- 67e6cc5135d8500f47565ed7f34764ec5cde7335763c3b50ced2e1056c312778
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