Image-Text-to-Text
PEFT
Safetensors
English
gemma3
lora
adapter
chart-qa
scientific-figures
data-visualization
visual-question-answering
refusal
autoscientist
adaption
null-result
conversational
Eval Results (legacy)
Instructions to use manifesta/adaption_scientific_chart_qa_17k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use manifesta/adaption_scientific_chart_qa_17k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "manifesta/adaption_scientific_chart_qa_17k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23db2e055d80cccf03598ded35b611c37cce36e1bc0bf93b87209e2a480a073d
- Size of remote file:
- 33.4 MB
- SHA256:
- daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
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