PEFT
Safetensors
English
Hindi
Panjabi
gemma3
autoscientist
adaption
chart-qa
data-visualization
multilingual
hindi
punjabi
vlm
lora
Instructions to use tojpaj/chart-qa-vlm-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tojpaj/chart-qa-vlm-multilingual with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/gemma-3-4b-it-VLM") model = PeftModel.from_pretrained(base_model, "tojpaj/chart-qa-vlm-multilingual") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_convert_rgb": null, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Gemma3ImageProcessor", | |
| "image_seq_length": 256, | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 896, | |
| "width": 896 | |
| } | |
| } | |