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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 7 files
Browse files- DeBERTa_table_random-table_2e-7/config.json +42 -0
- DeBERTa_table_random-table_2e-7/model.safetensors +3 -0
- DeBERTa_table_random-table_2e-7/optimizer.pt +3 -0
- DeBERTa_table_random-table_2e-7/rng_state.pth +3 -0
- DeBERTa_table_random-table_2e-7/scheduler.pt +3 -0
- DeBERTa_table_random-table_2e-7/trainer_state.json +253 -0
- DeBERTa_table_random-table_2e-7/training_args.bin +3 -0
DeBERTa_table_random-table_2e-7/config.json
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{
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"_name_or_path": "naver/trecdl22-crossencoder-debertav3",
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"architectures": [
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],
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"model_type": "deberta-v2",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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DeBERTa_table_random-table_2e-7/model.safetensors
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DeBERTa_table_random-table_2e-7/optimizer.pt
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DeBERTa_table_random-table_2e-7/rng_state.pth
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DeBERTa_table_random-table_2e-7/scheduler.pt
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