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
- Xet hash:
- 23db2e055d80cccf03598ded35b611c37cce36e1bc0bf93b87209e2a480a073d
- Size of remote file:
- 33.4 MB
- SHA256:
- daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
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