Instructions to use amburger66/robometer-4b-lora-robotsmith-task03-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amburger66/robometer-4b-lora-robotsmith-task03-v2 with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task03-v2") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task03-v2") - Notebooks
- Google Colab
- Kaggle
amburger66/robometer-4b-lora-robotsmith-task03-v2
Model Details
- Base Model: Qwen/Qwen3-VL-4B-Instruct
- Model Type: qwen3_vl
Training Run
- Wandb Run: lora_task03
- Wandb ID:
t2aag6u7 - Project: rbm-finetune-robotsmith
- Notes: fine-tuning Robometer on RobotSmith
Citation
If you use this model, please cite:
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Qwen/Qwen3-VL-4B-Instruct