Image-to-Text
PEFT
Safetensors
Lithuanian
image-captioning
vision-language
lithuanian
lora
unsloth
qwen3-vl
Instructions to use LuJa111/GMM-sefai-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LuJa111/GMM-sefai-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-VL-8B-Instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "LuJa111/GMM-sefai-model") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download video_preprocessor_config.json from LuJa111/GMM-sefai-model: direct link, hf CLI and curl.
- Browser
- Download file 817 Bytes
-
https://huggingface.co/LuJa111/GMM-sefai-model/resolve/main/video_preprocessor_config.json
- Command line
-
hf download hf://LuJa111/GMM-sefai-model/video_preprocessor_config.json
-
curl -L -o video_preprocessor_config.json https://huggingface.co/LuJa111/GMM-sefai-model/resolve/main/video_preprocessor_config.json
817 Bytes
| { | |
| "crop_size": null, | |
| "data_format": "channels_first", | |
| "default_to_square": true, | |
| "device": null, | |
| "do_center_crop": null, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "do_sample_frames": true, | |
| "fps": 2, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "input_data_format": null, | |
| "max_frames": 768, | |
| "merge_size": 2, | |
| "min_frames": 4, | |
| "num_frames": null, | |
| "pad_size": null, | |
| "patch_size": 16, | |
| "processor_class": "Qwen3VLProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_metadata": false, | |
| "size": { | |
| "longest_edge": 25165824, | |
| "shortest_edge": 4096 | |
| }, | |
| "temporal_patch_size": 2, | |
| "video_metadata": null, | |
| "video_processor_type": "Qwen3VLVideoProcessor" | |
| } | |