[Jobs] Support commands in hf jobs uv run

docs/source/en/guides/cli.md

@@ -753,10 +753,16 @@ Run UV scripts (Python scripts with inline dependencies) on HF infrastructure:
 >>> hf jobs uv run ml_training.py --flavor gpu-t4-small
 
 # Pass arguments to script
->>> hf jobs uv run process.py input.csv output.parquet --repo data-scripts
+>>> hf jobs uv run process.py input.csv output.parquet
+
+# Add dependencies
+>>> hf jobs uv run --with transformers --with torch train.py
 
 # Run a script directly from a URL
 >>> hf jobs uv run https://huggingface.co/datasets/username/scripts/resolve/main/example.py
+
+# Run a command
+>>> hf jobs uv run --with lighteval python -c "import lighteval"
 ```
 
 UV scripts are Python scripts that include their dependencies directly in the file using a special comment syntax. This makes them perfect for self-contained tasks that don't require complex project setups. Learn more about UV scripts in the [UV documentation](https://docs.astral.sh/uv/guides/scripts/).

docs/source/en/guides/jobs.md

@@ -324,6 +324,9 @@ Run UV scripts (Python scripts with inline dependencies) on HF infrastructure:
 
 # Run a script directly from a URL
 >>> run_uv_job("https://huggingface.co/datasets/username/scripts/resolve/main/example.py")
+
+# Run a command
+>>> run_uv_job("python", script_args=["-c", "import lighteval"], dependencies=["lighteval"])
 ```
 
 UV scripts are Python scripts that include their dependencies directly in the file using a special comment syntax. This makes them perfect for self-contained tasks that don't require complex project setups. Learn more about UV scripts in the [UV documentation](https://docs.astral.sh/uv/guides/scripts/).

src/huggingface_hub/hf_api.py

@@ -10286,10 +10286,10 @@ def run_uv_job(
 
         Args:
             script (`str`):
-                Path or URL of the UV script.
+                Path or URL of the UV script, or a command.
 
             script_args (`List[str]`, *optional*)
-                Arguments to pass to the script.
+                Arguments to pass to the script or command.
 
             dependencies (`List[str]`, *optional*)
                 Dependencies to use to run the UV script.
@@ -10324,10 +10324,31 @@ def run_uv_job(
 
         Example:
 
+            Run a script from a URL:
+
             ```python
             >>> from huggingface_hub import run_uv_job
             >>> script = "https://raw.githubusercontent.com/huggingface/trl/refs/heads/main/trl/scripts/sft.py"
-            >>> run_uv_job(script, dependencies=["trl"], flavor="a10g-small")
+            >>> script_args = ["--model_name_or_path", "Qwen/Qwen2-0.5B", "--dataset_name", "trl-lib/Capybara", "--push_to_hub"]
+            >>> run_uv_job(script, script_args=script_args, dependencies=["trl"], flavor="a10g-small")
+            ```
+
+            Run a local script:
+
+            ```python
+            >>> from huggingface_hub import run_uv_job
+            >>> script = "my_sft.py"
+            >>> script_args = ["--model_name_or_path", "Qwen/Qwen2-0.5B", "--dataset_name", "trl-lib/Capybara", "--push_to_hub"]
+            >>> run_uv_job(script, script_args=script_args, dependencies=["trl"], flavor="a10g-small")
+            ```
+
+            Run a command:
+
+            ```python
+            >>> from huggingface_hub import run_uv_job
+            >>> script = "lighteval"
+            >>> script_args= ["endpoint", "inference-providers", "model_name=openai/gpt-oss-20b,provider=auto", "lighteval|gsm8k|0|0"]
+            >>> run_uv_job(script, script_args=script_args, dependencies=["lighteval"], flavor="a10g-small")
             ```
         """
         image = image or "ghcr.io/astral-sh/uv:python3.12-bookworm"
@@ -10346,8 +10367,8 @@ def run_uv_job(
         if namespace is None:
             namespace = self.whoami(token=token)["name"]
 
-        if script.startswith("http://") or script.startswith("https://"):
-            # Direct URL execution - no upload needed
+        if script.startswith("http://") or script.startswith("https://") or not script.endswith(".py"):
+            # Direct URL execution or command - no upload needed
             command = ["uv", "run"] + uv_args + [script] + script_args
         else:
             # Local file - upload to HF

tests/test_cli.py

@@ -9,7 +9,7 @@
 
 from huggingface_hub.cli.cache import CacheCommand
 from huggingface_hub.cli.download import DownloadCommand
-from huggingface_hub.cli.jobs import JobsCommands, RunCommand
+from huggingface_hub.cli.jobs import JobsCommands, RunCommand, UvCommand
 from huggingface_hub.cli.repo import RepoCommands
 from huggingface_hub.cli.repo_files import DeleteFilesSubCommand, RepoFilesCommand
 from huggingface_hub.cli.upload import UploadCommand
@@ -848,7 +848,7 @@ def setUp(self) -> None:
         commands_parser = self.parser.add_subparsers()
         JobsCommands.register_subcommand(commands_parser)
 
-    @patch(
+    patch_requests_post = patch(
         "requests.Session.post",
         return_value=DummyResponse(
             {
@@ -862,7 +862,13 @@ def setUp(self) -> None:
             }
         ),
     )
-    @patch("huggingface_hub.hf_api.HfApi.whoami", return_value={"name": "my-username"})
+    patch_whoami = patch("huggingface_hub.hf_api.HfApi.whoami", return_value={"name": "my-username"})
+    patch_get_token = patch("huggingface_hub.hf_api.get_token", return_value="hf_xxx")
+    patch_repo_info = patch("huggingface_hub.hf_api.HfApi.repo_info")
+    patch_upload_file = patch("huggingface_hub.hf_api.HfApi.upload_file")
+
+    @patch_requests_post
+    @patch_whoami
     def test_run(self, whoami: Mock, requests_post: Mock) -> None:
         input_args = ["jobs", "run", "--detach", "ubuntu", "echo", "hello"]
         cmd = RunCommand(self.parser.parse_args(input_args))
@@ -877,3 +883,65 @@ def test_run(self, whoami: Mock, requests_post: Mock) -> None:
             "flavor": "cpu-basic",
             "dockerImage": "ubuntu",
         }
+
+    @patch_requests_post
+    @patch_whoami
+    def test_uv_command(self, whoami: Mock, requests_post: Mock) -> None:
+        input_args = ["jobs", "uv", "run", "--detach", "echo", "hello"]
+        cmd = UvCommand(self.parser.parse_args(input_args))
+        cmd.run()
+        assert requests_post.call_count == 1
+        args, kwargs = requests_post.call_args_list[0]
+        assert args == ("https://huggingface.co/api/jobs/my-username",)
+        assert kwargs["json"] == {
+            "command": ["uv", "run", "echo", "hello"],
+            "arguments": [],
+            "environment": {},
+            "flavor": "cpu-basic",
+            "dockerImage": "ghcr.io/astral-sh/uv:python3.12-bookworm",
+        }
+
+    @patch_requests_post
+    @patch_whoami
+    def test_uv_remote_script(self, whoami: Mock, requests_post: Mock) -> None:
+        input_args = ["jobs", "uv", "run", "--detach", "https://.../script.py"]
+        cmd = UvCommand(self.parser.parse_args(input_args))
+        cmd.run()
+        assert requests_post.call_count == 1
+        args, kwargs = requests_post.call_args_list[0]
+        assert args == ("https://huggingface.co/api/jobs/my-username",)
+        assert kwargs["json"] == {
+            "command": ["uv", "run", "https://.../script.py"],
+            "arguments": [],
+            "environment": {},
+            "flavor": "cpu-basic",
+            "dockerImage": "ghcr.io/astral-sh/uv:python3.12-bookworm",
+        }
+
+    @patch_requests_post
+    @patch_whoami
+    @patch_get_token
+    @patch_repo_info
+    @patch_upload_file
+    def test_uv_local_script(
+        self, upload_file: Mock, repo_info: Mock, get_token: Mock, whoami: Mock, requests_post: Mock
+    ) -> None:
+        input_args = ["jobs", "uv", "run", "--detach", __file__]
+        cmd = UvCommand(self.parser.parse_args(input_args))
+        cmd.run()
+        assert requests_post.call_count == 1
+        args, kwargs = requests_post.call_args_list[0]
+        assert args == ("https://huggingface.co/api/jobs/my-username",)
+        command = kwargs["json"].pop("command")
+        assert "UV_SCRIPT_URL" in " ".join(command)
+        assert kwargs["json"] == {
+            "arguments": [],
+            "environment": {
+                "UV_SCRIPT_URL": "https://huggingface.co/datasets/my-username/hf-cli-jobs-uv-run-scripts/resolve/main/test_cli.py"
+            },
+            "secrets": {"UV_SCRIPT_HF_TOKEN": "hf_xxx"},
+            "flavor": "cpu-basic",
+            "dockerImage": "ghcr.io/astral-sh/uv:python3.12-bookworm",
+        }
+        assert repo_info.call_count == 1  # check if repo exists
+        assert upload_file.call_count == 2  # script and readme