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:
- 527a9f2812427bff75ea772529faaa90a57a1f39aeb74581268c024f697f77d8
- Size of remote file:
- 1.06 kB
- SHA256:
- 8a7a2d2062e410384b6fbcd4c5a207f00c539b742235a3405178e77349186958
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