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:
- 6eaadc826f41f9b082fdb6fde2e29e9bd6e4858802b002a0709b9506686b5b21
- Size of remote file:
- 3.48 GB
- SHA256:
- a0fa4b0e080f5d8f3fa6cb8deb853e396e9f2ea5d8c4cf863bea280f09c423ff
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