Instructions to use Phanh2532/GAMA-Tiny-Code-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Phanh2532/GAMA-Tiny-Code-Generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "Phanh2532/GAMA-Tiny-Code-Generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 428b5241bc9126cb3b39f84158b42d17584d8620ef452afb9353fef17ea47504
- Size of remote file:
- 196 MB
- SHA256:
- 8698634b510fbdbd9925d133bee7fa012f1937f9a2e9f8a6307c323a05f11922
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