Instructions to use prereasoner/prereasoner-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prereasoner/prereasoner-weights with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Readers v14: v14b in slot b, so all four reading models are trained with SynSQL-2.5M's databases; the choice over both re-scorers refitted on their pool, threshold 0.0862
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Readers v14 with two re-scorers: rescorer_a ('f') and rescorer_b ('g', the v14 recipes' cross-fold candidates) weighed by one choice; v11b back in slot b; the single readers/rescorer/ removed
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4 days ago
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Readers v14: four reading models trained with SynSQL-2.5M's databases (v14a, v14b, v14b1, v14a1), the re-scorer refreshed on their recipes' cross-fold candidates, the choice refitted, threshold 0.129
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6 days ago
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Readers: v13b1 and v13a1 in slots c and d (trained with SELECT * and sheet language); the choice refitted on that pool, threshold 0.1405
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Readers: v12b1 and v12a1 in slots c and d (trained with the grouped structure); the choice refitted on that pool, threshold 0.1434
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7 days ago
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Readers v11: the choice (readers/choice.json) replaces the refusal; cards describe the four readers
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Readers v11: four reading models (stage2_a to stage2_d); stage 1 and the re-scorer unchanged
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8 days ago
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Add the own-data readers (readers/: schema items, two reading models, re-scorer, refusal); cards describe them
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