Image-Text-to-Text
PEFT
Safetensors
laboratory
protocol-aligned-action-prediction
lora
qwen
long-horizon-planning
conversational
Instructions to use Stanford-CongLab/LabHorizon-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Stanford-CongLab/LabHorizon-Model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "Stanford-CongLab/LabHorizon-Model") - Notebooks
- Google Colab
- Kaggle
Update LabHorizon public title
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README.md
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[](https://huggingface.co/datasets/Stanford-CongLab/LabHorizon-Protocol-Conditioned-Planning)
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[](https://huggingface.co/Stanford-CongLab/LabHorizon-Model)
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**
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[Overview](#-overview) | [News](#-news) | [Highlights](#-highlights) | [Datasets](#-datasets) | [Evaluation](#-evaluation) | [Leaderboard](#-leaderboard) | [Training](#-training-result) | [Agent](#-actor-simulator-selector-agent) | [Quick Start](#-quick-start) | [Citation](#-citation)
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[](https://huggingface.co/datasets/Stanford-CongLab/LabHorizon-Protocol-Conditioned-Planning)
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[](https://huggingface.co/Stanford-CongLab/LabHorizon-Model)
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**Pushing the Limits of Laboratory 3D Perception and Long-Horizon Planning via Protocol-Aligned Action Prediction**
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[Overview](#-overview) | [News](#-news) | [Highlights](#-highlights) | [Datasets](#-datasets) | [Evaluation](#-evaluation) | [Leaderboard](#-leaderboard) | [Training](#-training-result) | [Agent](#-actor-simulator-selector-agent) | [Quick Start](#-quick-start) | [Citation](#-citation)
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