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there are likely scenarios where admins of a stack only want to allow clients to fine-tune certain models, register certain models to be fine-tuned. etc introduce the post_training router and post_training_models as the associated type. A different model type needs to be used for inference vs post_training due to the structure of the router currently. Signed-off-by: Charlie Doern <cdoern@redhat.com> |
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| .. | ||
| apis | ||
| cli | ||
| distribution | ||
| models | ||
| providers | ||
| strong_typing | ||
| templates | ||
| ui | ||
| __init__.py | ||
| env.py | ||
| log.py | ||
| schema_utils.py | ||