Image-Text-to-Text
PEFT
Safetensors
English
qwen3-vl
affordance
visual-affordance
egocentric
lora
qlora
fine-tuned
vision-language
unsloth
conversational
Instructions to use Kavin60606/qwen3-vl-2b-affordance-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kavin60606/qwen3-vl-2b-affordance-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-vl-2b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Kavin60606/qwen3-vl-2b-affordance-finetuned") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload fine-tuned Qwen3-VL-2B affordance model with dataset, checkpoints, and results
4d8f201 verified Download preprocessor_config.json from Kavin60606/qwen3-vl-2b-affordance-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 821 Bytes
-
https://huggingface.co/Kavin60606/qwen3-vl-2b-affordance-finetuned/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Kavin60606/qwen3-vl-2b-affordance-finetuned/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Kavin60606/qwen3-vl-2b-affordance-finetuned/resolve/main/preprocessor_config.json
821 Bytes
| { | |
| "crop_size": null, | |
| "data_format": "channels_first", | |
| "default_to_square": true, | |
| "device": null, | |
| "disable_grouping": null, | |
| "do_center_crop": null, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_pad": null, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessorFast", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "input_data_format": null, | |
| "max_pixels": null, | |
| "merge_size": 2, | |
| "min_pixels": null, | |
| "pad_size": null, | |
| "patch_size": 16, | |
| "processor_class": "Qwen3VLProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_tensors": null, | |
| "size": { | |
| "longest_edge": 16777216, | |
| "shortest_edge": 65536 | |
| }, | |
| "temporal_patch_size": 2 | |
| } | |