Instructions to use Season998/Traffic-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Season998/Traffic-R1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Season998/Traffic-R1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,16 @@
|
|
| 1 |
-
---
|
| 2 |
-
|
| 3 |
-
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
name: Traffic-R1 (Public)
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
base_model:
|
| 7 |
+
- Qwen/Qwen2.5-3B
|
| 8 |
+
pipeline_tag: reinforcement-learning
|
| 9 |
+
tags:
|
| 10 |
+
- traffic
|
| 11 |
+
- reinforce LLM
|
| 12 |
+
- LLM agent
|
| 13 |
+
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
This is the publicly available version of Traffic-R1, a novel foundational LLM designed for traffic signal control, featuring superior zero-shot performance and stable generalization.
|