Instructions to use mlai-dante/road-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mlai-dante/road-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-8B-Instruct") model = PeftModel.from_pretrained(base_model, "mlai-dante/road-model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- gemma4_aug
- mistral3_8b_aug
- oof_v2
- qwen25vl7b_rtx6000_v1
- qwen25vl7b_rtx6000_v2
- qwen25vl7b_rtx6000_v3_fold0
- qwen8b_aug
- qwen8b_beam_rep
- qwen8b_expert
- qwen8b_expert_res
- qwen8b_f0
- qwen8b_f1
- qwen8b_f2
- qwen8b_fast
- qwen8b_thinking
- qwen_8b
- trocr
- trocr_base_v1
- 1.57 kB
- 1.73 kB
- 1.1 kB
- 87.4 MB xet
- 5.29 kB
- 1.32 kB
- 1.19 kB
- 1.88 kB
- 111 kB
- 11.4 MB xet
- 783 Bytes
- 5.2 kB xet
- 92 Bytes
- 89.2 kB