Image-Text-to-Text
PEFT
Safetensors
laboratory
protocol-conditioned-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
Remove redundant relationship section
Browse files
README.md
CHANGED
|
@@ -270,18 +270,6 @@ Not intended for:
|
|
| 270 |
- Clinical, safety-critical, or regulated decision-making.
|
| 271 |
- Generating executable biological protocols without expert validation.
|
| 272 |
|
| 273 |
-
## 🔗 Relationship to LabHorizon
|
| 274 |
-
|
| 275 |
-
LabHorizon has four public entry points:
|
| 276 |
-
|
| 277 |
-
| Resource | Link | Role |
|
| 278 |
-
|:---|:---|:---|
|
| 279 |
-
| Website | [LabHorizon Website](https://conglab-research.github.io/LabHorizon/) | Interactive examples and visual explorer |
|
| 280 |
-
| Code | [CongLab-Research/LabHorizon](https://github.com/CongLab-Research/LabHorizon) | Evaluation code, agents, tests, and documentation |
|
| 281 |
-
| Level 1 Data | [LabHorizon-3D-Asset-Perception](https://huggingface.co/datasets/CongLab-Research/LabHorizon-3D-Asset-Perception) | Multi-view laboratory 3D asset perception data |
|
| 282 |
-
| Level 2 Data | [LabHorizon-Protocol-Conditioned-Planning](https://huggingface.co/datasets/CongLab-Research/LabHorizon-Protocol-Conditioned-Planning) | Protocol-conditioned long-horizon planning data |
|
| 283 |
-
| Model | [LabHorizon-Model](https://huggingface.co/CongLab-Research/LabHorizon-Model) | Qwen3.6 LoRA adapter trained on LabHorizon |
|
| 284 |
-
|
| 285 |
## 📜 Citation
|
| 286 |
|
| 287 |
Coming soon...
|
|
|
|
| 270 |
- Clinical, safety-critical, or regulated decision-making.
|
| 271 |
- Generating executable biological protocols without expert validation.
|
| 272 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 273 |
## 📜 Citation
|
| 274 |
|
| 275 |
Coming soon...
|