move to cli only

docs/api/restclient.md

@@ -288,59 +288,6 @@ async def get_checkpoint_archive_url_from_tinker_path_async(
 
 Async version of get_checkpoint_archive_url_from_tinker_path.
 
-#### `export_checkpoint_to_hub`
-
-```python
-def export_checkpoint_to_hub(
-        tinker_path: str,
-        repo_id: str | None,
-        *,
-        private: bool = True,
-        token: str | None = None,
-        revision: str | None = None,
-        commit_message: str | None = None,
-        create_pr: bool = False,
-        exist_ok: bool = True,
-        allow_patterns: Sequence[str] | None = None,
-        ignore_patterns: Sequence[str] | None = None,
-        add_model_card: bool = True,
-) -> str
-```
-
-Download a checkpoint archive, extract the PEFT adapter files, optionally add a README.md
-model card, and upload to the Hugging Face Hub.
-
-Args:
-- `tinker_path`: The tinker path to the checkpoint (e.g., "tinker://run-id/weights/0001")
-- `repo_id`: Hugging Face repo ID (e.g., "username/my-lora-adapter"). If None,
-  a name is derived from the base model and training run, and `revision` is
-  derived from the checkpoint id.
-- `private`: Whether to create the repo as private (default True)
-- `token`: Hugging Face access token (optional). If None, uses the token
-  from `hf auth login` or the `HF_TOKEN` env var if available.
-- `revision`: Target branch/revision to upload to (optional). If None and
-  repo_id is None, defaults to a name derived from the checkpoint id.
-- `commit_message`: Commit message for the upload (optional)
-- `create_pr`: Whether to create a PR instead of pushing to the main branch
-- `exist_ok`: Whether repo creation should succeed if repo exists
-- `allow_patterns`: Optional list of file patterns to include
-- `ignore_patterns`: Optional list of file patterns to exclude
-- `add_model_card`: Whether to add a README.md if missing (default True)
-
-Returns:
-- The repo_id that was uploaded to
-
-Example:
-```python
-rest_client = service_client.create_rest_client()
-repo_id = rest_client.export_checkpoint_to_hub(
-    "tinker://run-id/weights/final",
-    "username/my-lora-adapter",
-    private=True,
-)
-print(f"Uploaded to: {repo_id}")
-```
-
 #### `publish_checkpoint_from_tinker_path`
 
 ```python