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71caa271ad
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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| .. | ||
| __init__.py | ||
| benchmarks.py | ||
| common.py | ||
| datasets.py | ||
| models.py | ||
| post_training_models.py | ||
| scoring_functions.py | ||
| shields.py | ||
| toolgroups.py | ||
| vector_dbs.py | ||