Instructions to use ngohjuniormbah/d3-gemma-3-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ngohjuniormbah/d3-gemma-3-1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-1b-it-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "ngohjuniormbah/d3-gemma-3-1b") - Notebooks
- Google Colab
- Kaggle
D3.js Generator โ Gemma 3 1B (QLoRA)
Fine-tune of gemma-3-1b-it that turns a natural-language chart request into a complete, runnable D3 v7 HTML page. Trained on a curated 540-example instruction set across 15 chart families (bar, line, area, scatter, pie, donut, stacked/grouped bar, histogram, heatmap, treemap, force-directed graph, etc.). Note: base model chosen as a stable text-only Gemma while Gemma 3n E2B fine-tuning tooling stabilizes upstream; the pipeline is model-agnostic.
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