df333a77fc
Switch the field_validator to mode="before" so True/False surface as bool (not Pydantic's coerced 1/0) and give a precise "must be an integer or null" message instead of the misleading "must be in [256, 2048] (got 1)". Also explicitly accepts numpy Integral and integral Real scalars so YAML or programmatic callers using numpy ints keep working. |
||
|---|---|---|
| .. | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| data_recipe.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| models.py | ||
| providers.py | ||
| responses.py | ||
| training.py | ||
| users.py | ||