Text Generation
PEFT
Safetensors
English
svg
vector-graphics
text-to-svg
code-generation
lora
gemma-3
conversational
Instructions to use omeryentur/svg-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use omeryentur/svg-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-27b-it-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "omeryentur/svg-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fdb202ed2eee7a67bf7ebccefab5f4f69b040b7149029e088e7c3bd5636d339
- Size of remote file:
- 5.62 kB
- SHA256:
- 7214b2adb5c728206eff96888e592d67deb07ef5ee66275af4ba96472423823c
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