Translation
PEFT
Safetensors
English
Amharic
african-languages
scientific-translation
afriscience-mt
lora
gemma
Eval Results (legacy)
Instructions to use dsfsi/gemma_3_4b_it-lora-r32-eng-amh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dsfsi/gemma_3_4b_it-lora-r32-eng-amh with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "dsfsi/gemma_3_4b_it-lora-r32-eng-amh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89cba031c5c9e8293a51d9c3e7196072fa42763b0283b4977efaa44f5015000d
- Size of remote file:
- 262 MB
- SHA256:
- a1d7e6dfc61fcff117ff70e9194a7f13023a742ccf6a339910888f49e40f6b8b
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