[Jobs] Add huggingface-cli jobs commands

docs/source/en/guides/cli.md

@@ -604,3 +604,149 @@ Copy-and-paste the text below in your GitHub issue.
 - HF_HUB_ETAG_TIMEOUT: 10
 - HF_HUB_DOWNLOAD_TIMEOUT: 10
 ```
+
+## huggingface-cli jobs
+
+Run compute jobs on Hugging Face infrastructure with a familiar Docker-like interface.
+
+`huggingface-cli jobs` is a command-line tool that lets you run anything on Hugging Face's infrastructure (including GPUs and TPUs!) with simple commands. Think `docker run`, but for running code on A100s.
+
+```bash
+# Directly run Python code
+>>> huggingface-cli jobs run python:3.12 python -c "print('Hello from the cloud!')"
+
+# Use GPUs without any setup
+>>> huggingface-cli jobs run --flavor a10g-small pytorch/pytorch:2.6.0-cuda12.4-cudnn9-devel \
+... python -c "import torch; print(torch.cuda.get_device_name())"
+
+# Run from Hugging Face Spaces
+>>> huggingface-cli jobs run hf.co/spaces/lhoestq/duckdb duckdb -c "select 'hello world'"
+
+# Run a Python script with `uv` (experimental)
+>>> huggingface-cli jobs uv run my_script.py
+```
+
+### ✨ Key Features
+
+- 🐳 **Docker-like CLI**: Familiar commands (`run`, `ps`, `logs`, `inspect`) to run and manage jobs
+- 🔥 **Any Hardware**: From CPUs to A100 GPUs and TPU pods - switch with a simple flag
+- 📦 **Run Anything**: Use Docker images, HF Spaces, or your custom containers
+- 🔐 **Simple Auth**: Just use your HF token
+- 📊 **Live Monitoring**: Stream logs in real-time, just like running locally
+- 💰 **Pay-as-you-go**: Only pay for the seconds you use
+
+### Prerequisites
+
+- A Hugging Face account (currently in testing for HF staff)
+- Authenticate with the Hugging Gace Hub (e.g. `huggingface-cli login`)
+
+### Quick Start
+
+#### 1. Run your first job
+
+```bash
+# Run a simple Python script
+>>> huggingface-cli jobs run python:3.12 python -c "print('Hello from HF compute!')"
+```
+
+This command runs the job and shows the logs. You can pass `--detach` to run the Job in the background and only print the Job ID.
+
+#### 2. Check job status
+
+```bash
+# List your running jobs
+>>> huggingface-cli jobs ps
+
+# Inspect the status of a job
+>>> huggingface-cli jobs inspect <job_id>
+
+# View logs from a job
+>>> huggingface-cli jobs logs <job_id>
+
+# Cancel a job
+>>> huggingface-cli jobs cancel <job_id>
+```
+
+#### 3. Run on GPU
+
+You can also run jobs on GPUs or TPUs with the `--flavor` option. For example, to run a PyTorch job on an A10G GPU:
+
+```bash
+# Use an A10G GPU to check PyTorch CUDA
+>>> huggingface-cli jobs run --flavor a10g-small pytorch/pytorch:2.6.0-cuda12.4-cudnn9-devel \
+... python -c "import torch; print(f"This code ran with the following GPU: {torch.cuda.get_device_name()}")"
+```
+
+Running this will show the following output!
+
+```bash
+This code ran with the following GPU: NVIDIA A10G
+```
+
+That's it! You're now running code on Hugging Face's infrastructure. For more detailed information checkout the [Quickstart Guide](docs/quickstart.md).
+
+### Common Use Cases
+
+- **Model Training**: Fine-tune or train models on GPUs (T4, A10G, A100) without managing infrastructure
+- **Synthetic Data Generation**: Generate large-scale datasets using LLMs on powerful hardware
+- **Data Processing**: Process massive datasets with high-CPU configurations for parallel workloads
+- **Batch Inference**: Run offline inference on thousands of samples using optimized GPU setups
+- **Experiments & Benchmarks**: Run ML experiments on consistent hardware for reproducible results
+- **Development & Debugging**: Test GPU code without local CUDA setup
+
+### Pass Environment variables and Secrets
+
+You can pass environment variables to your job using 
+
+```bash
+# Pass environment variables
+>>> huggingface-cli jobs run -e FOO=foo -e BAR=bar python:3.12 python -c "import os; print(os.environ['FOO'], os.environ['BAR'])"
+```
+
+```bash
+# Pass an environment from a local .env file
+>>> huggingface-cli jobs run --env-file .env python:3.12 python -c "import os; print(os.environ['FOO'], os.environ['BAR'])"
+```
+
+```bash
+# Pass secrets - they will be encrypted server side
+>>> huggingface-cli jobs run -s MY_SECRET=psswrd python:3.12 python -c "import os; print(os.environ['MY_SECRET'])"
+```
+
+```bash
+# Pass secrets from a local .secrets.env file - they will be encrypted server side
+>>> huggingface-cli jobs run --secret-env-file .secrets.env python:3.12 python -c "import os; print(os.environ['MY_SECRET'])"
+```
+
+### Hardware
+
+Available `--flavor` options:
+
+- CPU: `cpu-basic`, `cpu-upgrade`
+- GPU: `t4-small`, `t4-medium`, `l4x1`, `l4x4`, `a10g-small`, `a10g-large`, `a10g-largex2`, `a10g-largex4`,`a100-large`
+- TPU: `v5e-1x1`, `v5e-2x2`, `v5e-2x4`
+
+(updated in 03/25 from Hugging Face [suggested_hardware docs](https://huggingface.co/docs/hub/en/spaces-config-reference))
+
+### UV Scripts (Experimental)
+
+Run UV scripts (Python scripts with inline dependencies) on HF infrastructure:
+
+```bash
+# Run a UV script (creates temporary repo)
+>>> huggingface-cli jobs uv run my_script.py
+
+# Run with persistent repo
+>>> huggingface-cli jobs uv run my_script.py --repo my-uv-scripts
+
+# Run with GPU
+>>> huggingface-cli jobs uv run ml_training.py --flavor gpu-t4-small
+
+# Pass arguments to script
+>>> huggingface-cli jobs uv run process.py input.csv output.parquet --repo data-scripts
+
+# Run a script directly from a URL
+>>> huggingface-cli jobs uv run https://huggingface.co/datasets/username/scripts/resolve/main/example.py
+```
+
+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/).

setup.py

@@ -20,6 +20,7 @@ def get_version() -> str:
     "requests",
     "tqdm>=4.42.1",
     "typing-extensions>=3.7.4.3",  # to be able to import TypeAlias
+    "dotenv",
 ]
 
 extras = {}

src/huggingface_hub/commands/huggingface_cli.py

@@ -17,6 +17,7 @@
 from huggingface_hub.commands.delete_cache import DeleteCacheCommand
 from huggingface_hub.commands.download import DownloadCommand
 from huggingface_hub.commands.env import EnvironmentCommand
+from huggingface_hub.commands.jobs import JobsCommands
 from huggingface_hub.commands.lfs import LfsCommands
 from huggingface_hub.commands.repo import RepoCommands
 from huggingface_hub.commands.repo_files import RepoFilesCommand
@@ -44,6 +45,7 @@ def main():
     DeleteCacheCommand.register_subcommand(commands_parser)
     TagCommands.register_subcommand(commands_parser)
     VersionCommand.register_subcommand(commands_parser)
+    JobsCommands.register_subcommand(commands_parser)
 
     # Experimental
     UploadLargeFolderCommand.register_subcommand(commands_parser)

src/huggingface_hub/commands/jobs/__init__.py

@@ -0,0 +1,48 @@
+# Copyright 2025 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Contains commands to interact with jobs on the Hugging Face Hub.
+
+Usage:
+    # run a job
+    huggingface-cli jobs run image command
+"""
+
+from argparse import _SubParsersAction
+
+from huggingface_hub.commands import BaseHuggingfaceCLICommand
+from huggingface_hub.commands.jobs.cancel import CancelCommand
+from huggingface_hub.commands.jobs.inspect import InspectCommand
+from huggingface_hub.commands.jobs.logs import LogsCommand
+from huggingface_hub.commands.jobs.ps import PsCommand
+from huggingface_hub.commands.jobs.run import RunCommand
+from huggingface_hub.commands.jobs.uv import UvCommand
+from huggingface_hub.utils import logging
+
+
+logger = logging.get_logger(__name__)
+
+
+class JobsCommands(BaseHuggingfaceCLICommand):
+    @staticmethod
+    def register_subcommand(parser: _SubParsersAction):
+        jobs_parser = parser.add_parser("jobs", help="Commands to interact with your huggingface.co jobs.")
+        jobs_subparsers = jobs_parser.add_subparsers(help="huggingface.co jobs related commands")
+
+        # Register commands
+        InspectCommand.register_subcommand(jobs_subparsers)
+        LogsCommand.register_subcommand(jobs_subparsers)
+        PsCommand.register_subcommand(jobs_subparsers)
+        RunCommand.register_subcommand(jobs_subparsers)
+        CancelCommand.register_subcommand(jobs_subparsers)
+        UvCommand.register_subcommand(jobs_subparsers)

src/huggingface_hub/commands/jobs/_cli_utils.py

@@ -0,0 +1,29 @@
+import os
+from typing import List, Union
+
+
+def tabulate(rows: List[List[Union[str, int]]], headers: List[str]) -> str:
+    """
+    Inspired by:
+
+    - stackoverflow.com/a/8356620/593036
+    - stackoverflow.com/questions/9535954/printing-lists-as-tabular-data
+    """
+    col_widths = [max(len(str(x)) for x in col) for col in zip(*rows, headers)]
+    terminal_width = max(os.get_terminal_size().columns, len(headers) * 12)
+    while len(headers) + sum(col_widths) > terminal_width:
+        col_to_minimize = col_widths.index(max(col_widths))
+        col_widths[col_to_minimize] //= 2
+        if len(headers) + sum(col_widths) <= terminal_width:
+            col_widths[col_to_minimize] = terminal_width - sum(col_widths) - len(headers) + col_widths[col_to_minimize]
+    row_format = ("{{:{}}} " * len(headers)).format(*col_widths)
+    lines = []
+    lines.append(row_format.format(*headers))
+    lines.append(row_format.format(*["-" * w for w in col_widths]))
+    for row in rows:
+        row_format_args = [
+            str(x)[: col_width - 3] + "..." if len(str(x)) > col_width else str(x)
+            for x, col_width in zip(row, col_widths)
+        ]
+        lines.append(row_format.format(*row_format_args))
+    return "\n".join(lines)

src/huggingface_hub/commands/jobs/cancel.py

@@ -0,0 +1,32 @@
+from argparse import Namespace, _SubParsersAction
+from typing import Optional
+
+import requests
+
+from huggingface_hub import whoami
+from huggingface_hub.utils import build_hf_headers
+
+from .. import BaseHuggingfaceCLICommand
+
+
+class CancelCommand(BaseHuggingfaceCLICommand):
+    @staticmethod
+    def register_subcommand(parser: _SubParsersAction) -> None:
+        run_parser = parser.add_parser("jobs cancel", help="Cancel a Job")
+        run_parser.add_argument("job_id", type=str, help="Job ID")
+        run_parser.add_argument(
+            "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens"
+        )
+        run_parser.set_defaults(func=CancelCommand)
+
+    def __init__(self, args: Namespace) -> None:
+        self.job_id: str = args.job_id
+        self.token: Optional[str] = args.token or None
+
+    def run(self) -> None:
+        username = whoami(self.token)["name"]
+        headers = build_hf_headers(token=self.token)
+        requests.post(
+            f"https://huggingface.co/api/jobs/{username}/{self.job_id}/cancel",
+            headers=headers,
+        ).raise_for_status()

src/huggingface_hub/commands/jobs/inspect.py

@@ -0,0 +1,37 @@
+import json
+from argparse import Namespace, _SubParsersAction
+from typing import Optional
+
+import requests
+
+from huggingface_hub import whoami
+from huggingface_hub.utils import build_hf_headers
+
+from .. import BaseHuggingfaceCLICommand
+
+
+class InspectCommand(BaseHuggingfaceCLICommand):
+    @staticmethod
+    def register_subcommand(parser: _SubParsersAction) -> None:
+        run_parser = parser.add_parser("inspect", help="Display detailed information on one or more Jobs")
+        run_parser.add_argument(
+            "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens"
+        )
+        run_parser.add_argument("jobs", nargs="...", help="The jobs to inspect")
+        run_parser.set_defaults(func=InspectCommand)
+
+    def __init__(self, args: Namespace) -> None:
+        self.token: Optional[str] = args.token or None
+        self.jobs: list[str] = args.jobs
+
+    def run(self) -> None:
+        username = whoami(self.token)["name"]
+        headers = build_hf_headers(token=self.token)
+        inspections = [
+            requests.get(
+                f"https://huggingface.co/api/jobs/{username}/{job}",
+                headers=headers,
+            ).json()
+            for job in self.jobs
+        ]
+        print(json.dumps(inspections, indent=4))