File size: 2,929 Bytes
0d80452 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | #!/usr/bin/env python
# Copyright 2026 The HuggingFace Inc. 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.
"""Launch ``lerobot-annotate`` on a Hugging Face job (vllm + Qwen3.6-27B VLM).
Spawns one single-GPU ``h200`` job that:
1. installs ``lerobot`` from ``main`` plus the annotation extras,
2. boots one vllm server with Qwen3.6-27B (dense VLM),
3. runs the plan / interjections / vqa modules across the dataset
in free-form mode (each episode generates its own subtasks +
memory),
4. uploads the annotated dataset to ``--new_repo_id`` (when set)
or back to ``--repo_id``.
Usage:
HF_TOKEN=hf_... uv run python examples/annotations/run_hf_job.py
Adjust ``CMD`` (dataset, model, hub repo) and ``flavor`` below for your
run. For larger datasets, scale to ``h200x4`` and raise
``--vlm.parallel_servers`` / ``--vlm.num_gpus`` to match.
"""
import os
from huggingface_hub import get_token, run_job
token = os.environ.get("HF_TOKEN") or get_token()
if not token:
raise RuntimeError("No HF token. Run `huggingface-cli login` or `export HF_TOKEN=hf_...`")
CMD = (
"apt-get update -qq && apt-get install -y -qq git ffmpeg && "
"pip install --no-deps "
"'lerobot @ git+https://github.com/huggingface/lerobot.git@main' && "
"pip install --upgrade-strategy only-if-needed "
"datasets pyarrow av jsonlines draccus gymnasium torchcodec mergedeep pyyaml-include toml typing-inspect "
"openai && "
"export VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=0 && "
"export VLLM_VIDEO_BACKEND=pyav && "
"lerobot-annotate "
"--repo_id=pepijn223/robocasa_pretrain_human300_v4 "
"--new_repo_id=pepijn223/robocasa_pretrain_human300_v4_annotated "
"--push_to_hub=true "
"--vlm.backend=openai "
"--vlm.model_id=Qwen/Qwen3.6-27B "
"--vlm.num_gpus=1 "
'--vlm.serve_command="vllm serve Qwen/Qwen3.6-27B '
"--tensor-parallel-size 1 --max-model-len 32768 "
'--gpu-memory-utilization 0.8 --uvicorn-log-level warning --port {port}" '
"--vlm.serve_ready_timeout_s=1800 "
# Qwen3.6 ships with thinking on; annotation wants plain JSON answers.
"--vlm.chat_template_kwargs='{\"enable_thinking\": false}'"
)
job = run_job(
image="vllm/vllm-openai:latest",
command=["bash", "-c", CMD],
flavor="h200",
secrets={"HF_TOKEN": token},
timeout="2h",
)
print(f"Job URL: {job.url}")
print(f"Job ID: {job.id}")
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