Translation
PEFT
Safetensors
Hausa
English
african-languages
scientific-translation
afriscience-mt
lora
gemma
Eval Results (legacy)
Instructions to use dsfsi/gemma_3_4b_it-lora-r32-hau-eng 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-hau-eng 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-hau-eng") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e34475a7a0057d5ffd00870ccc8ed03a9d8b12da6bae4b7c23fa21bf63692a12
- Size of remote file:
- 262 MB
- SHA256:
- bab93192a40dabf2f46bb79b43f249a6075f78d42d05153f9f07ca710e100b65
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.