Image-Text-to-Text
PEFT
Safetensors
English
robotics
robomme
lora
visual-completion-monitor
qwen3-vl
Instructions to use bingaochen/Astra-on-RoboMME-Monitor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bingaochen/Astra-on-RoboMME-Monitor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-4B-Instruct") model = PeftModel.from_pretrained(base_model, "bingaochen/Astra-on-RoboMME-Monitor") - Notebooks
- Google Colab
- Kaggle
Download additional_config.json from bingaochen/Astra-on-RoboMME-Monitor: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/bingaochen/Astra-on-RoboMME-Monitor/resolve/main/additional_config.json
- Command line
-
hf download hf://bingaochen/Astra-on-RoboMME-Monitor/additional_config.json
-
curl -L -o additional_config.json https://huggingface.co/bingaochen/Astra-on-RoboMME-Monitor/resolve/main/additional_config.json
67 Bytes
| {"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06} |