Support presets in AutoMM predictor initialization #2620
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Job PR-2620-e988188 is done. |
zhiqiangdon
requested review from
cheungdaven,
sxjscience,
FANGAreNotGnu,
bryanyzhu,
suzhoum and
yongxinw
sxjscience
reviewed
Jan 3, 2023
| "model.ner_text.checkpoint_name": "microsoft/deberta-v3-base", | ||
| } | ||
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| @automm_presets.register() | ||
| def ner(): |
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Shall we call it default_ner?
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Currently, all specific problem types, e.g., image_text_similarity and object_detection, have registered presets. default is for the general problem types binary, multiclass, and regression.
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LGTM in general. Minor comment on the naming. We can consider to register |
bryanyzhu
approved these changes
Jan 3, 2023
sxjscience
approved these changes
Jan 3, 2023
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Issue #, if available:
Description of changes:
presetsin predictor initialization. The presets is to control model quality:best_quality,high_quality_fast_inference, andmedium_quality_faster_inference.By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.