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Daniel Xu 2025-12-02 04:46:47 +00:00
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docs/api/serviceclient.md
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@ -121,6 +121,9 @@ def create_training_client_from_state(
Create a TrainingClient from saved model weights.
This loads only the model weights, not optimizer state. To also restore
optimizer state (e.g., Adam momentum), use create_training_client_from_state_with_optimizer.
Args:
- `path`: Tinker path to saved weights (e.g., "tinker://run-id/weights/checkpoint-001")
- `user_metadata`: Optional metadata to attach to the new training run
@ -130,7 +133,7 @@ Returns:
Example:
```python
# Resume training from a checkpoint
# Resume training from a checkpoint (weights only, optimizer resets)
training_client = service_client.create_training_client_from_state(
"tinker://run-id/weights/checkpoint-001"
)