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Fix mlflow register model #1076

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Fix mlflow register model #1076

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4 changes: 2 additions & 2 deletions llmfoundry/callbacks/hf_checkpointer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -93,7 +93,7 @@ class HuggingFaceCheckpointer(Callback):
will not be registered. Default is ``None``.
mlflow_logging_config (Optional[dict]): A dictionary of config arguments
that will get passed along to the MLflow ``save_model`` call.
Expected to contain ``metadata`` and ``task`` keys. If either is
Expected to contain ``task`` and ``metadata`` keys. If either is
unspecified, the defaults are ``'text-generation'`` and
``{'task': 'llm/v1/completions'}`` respectively. A default input example
and signature intended for text generation is also included under the
Expand Down Expand Up @@ -134,7 +134,7 @@ def __init__(
# and databricks optimized model serving to work
passed_metadata = mlflow_logging_config.get('metadata', {})
mlflow_logging_config['metadata'] = passed_metadata
mlflow_logging_config.setdefault('task', 'llm/v1/completions')
mlflow_logging_config.setdefault('task', 'text-generation')

default_input_example = {
'prompt': np.array(['What is Machine Learning?'])
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