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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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| registry | ||
| remote | ||
| utils | ||
| __init__.py | ||
| datatypes.py | ||