PEFT
Safetensors
English
lora
video-quality-assessment
no-reference-vqa
failure-prediction
difficulty-estimation
visual-quality-r1
qwen2.5-vl
mds-vqa
Instructions to use hollow404/MDS-VQA-Failure-Predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hollow404/MDS-VQA-Failure-Predictor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ckpt/VQR1-7B-YouTubeUGC") model = PeftModel.from_pretrained(base_model, "hollow404/MDS-VQA-Failure-Predictor") - Notebooks
- Google Colab
- Kaggle
| { | |
| "crop_size": null, | |
| "default_to_square": true, | |
| "do_center_crop": null, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessorFast", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "max_pixels": 12845056, | |
| "merge_size": 2, | |
| "min_pixels": 3136, | |
| "patch_size": 14, | |
| "processor_class": "Qwen2_5_VLProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 12845056, | |
| "shortest_edge": 3136 | |
| }, | |
| "temporal_patch_size": 2 | |
| } | |