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:
- 87c7d8f68972191e339ca08d85d13723a23418190d2366cc1b1c67a8e5231b79
- Size of remote file:
- 1.74 GB
- SHA256:
- 144edbdfa0c65c1a7a4aa98b0c06e0974dc291248357c722d06976daae78c4a3
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