Accept strings for checkpoint type on download

src/together/resources/finetune.py

@@ -2,7 +2,7 @@
 
 import re
 from pathlib import Path
-from typing import Dict, List, Literal
+from typing import List, Literal, Union, Literal
 
 from rich import print as rprint
 
@@ -545,7 +545,9 @@ def download(
         *,
         output: Path | str | None = None,
         checkpoint_step: int | None = None,
-        checkpoint_type: DownloadCheckpointType = DownloadCheckpointType.DEFAULT,
+        checkpoint_type: Union[
+            DownloadCheckpointType, str
+        ] = DownloadCheckpointType.DEFAULT,
     ) -> FinetuneDownloadResult:
         """
         Downloads compressed fine-tuned model or checkpoint to local disk.
@@ -558,7 +560,7 @@ def download(
                 Defaults to None.
             checkpoint_step (int, optional): Specifies step number for checkpoint to download.
                 Defaults to -1 (download the final model)
-            checkpoint_type (CheckpointType, optional): Specifies which checkpoint to download.
+            checkpoint_type (Union[CheckpointType, str], optional): Specifies which checkpoint to download.
                 Defaults to CheckpointType.DEFAULT.
 
         Returns:
@@ -582,6 +584,16 @@ def download(
 
         ft_job = self.retrieve(id)
 
+        # convert str to DownloadCheckpointType
+        if isinstance(checkpoint_type, str):
+            try:
+                checkpoint_type = DownloadCheckpointType(checkpoint_type.lower())
+            except ValueError:
+                enum_strs = ", ".join(e.value for e in DownloadCheckpointType)
+                raise ValueError(
+                    f"Invalid checkpoint type: {checkpoint_type}. Choose one of {{{enum_strs}}}."
+                )
+
         if isinstance(ft_job.training_type, FullTrainingType):
             if checkpoint_type != DownloadCheckpointType.DEFAULT:
                 raise ValueError(
@@ -592,10 +604,11 @@ def download(
             if checkpoint_type == DownloadCheckpointType.DEFAULT:
                 checkpoint_type = DownloadCheckpointType.MERGED
 
-            if checkpoint_type == DownloadCheckpointType.MERGED:
-                url += f"&checkpoint={DownloadCheckpointType.MERGED.value}"
-            elif checkpoint_type == DownloadCheckpointType.ADAPTER:
-                url += f"&checkpoint={DownloadCheckpointType.ADAPTER.value}"
+            if checkpoint_type in {
+                DownloadCheckpointType.MERGED,
+                DownloadCheckpointType.ADAPTER,
+            }:
+                url += f"&checkpoint={checkpoint_type.value}"
             else:
                 raise ValueError(
                     f"Invalid checkpoint type for LoRATrainingType: {checkpoint_type}"