NeMo
PyTorch
English
spoken-language-understanding
speech-intent-classification
speech-slot-filling
SLURP
Conformer
Transformer
NeMo
Eval Results (legacy)
Instructions to use nvidia/slu_conformer_transformer_large_slurp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/slu_conformer_transformer_large_slurp with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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- name: slu_conformer_transformer_large_slurp
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results:
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- task:
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name:
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type:
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dataset:
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name: SLURP
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type: slurp
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split: test
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metrics:
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- name:
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type: f1
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value: 82.27
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- task:
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- name: slu_conformer_transformer_large_slurp
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results:
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- task:
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name: Slot Filling
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type: slot-filling
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dataset:
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name: SLURP
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type: slurp
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split: test
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metrics:
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- name: F1
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type: f1
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value: 82.27
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- task:
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