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:
- f045b3037aa8276d0bd941b830efabee35aec387e8c830c08886a4158518f3c9
- Size of remote file:
- 14.2 kB
- SHA256:
- d8e64671cf5074351759e8cf424571061c026fe485581c166823476662318618
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