Translation
PEFT
Safetensors
English
Yoruba
african-languages
scientific-translation
afriscience-mt
lora
gemma
Eval Results (legacy)
Instructions to use dsfsi/gemma_3_4b_it-lora-r128-eng-yor 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-r128-eng-yor 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-r128-eng-yor") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from dsfsi/gemma_3_4b_it-lora-r128-eng-yor: direct link, hf CLI and curl.
- Browser
- Download file 1.05 GB
-
https://huggingface.co/dsfsi/gemma_3_4b_it-lora-r128-eng-yor/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://dsfsi/gemma_3_4b_it-lora-r128-eng-yor/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/dsfsi/gemma_3_4b_it-lora-r128-eng-yor/resolve/main/adapter_model.safetensors
1.05 GB
- Xet hash:
- df6e1ef3244f270ad26364f5f73d6db56bd879c6cec4010aebad148652953d49
- Size of remote file:
- 1.05 GB
- SHA256:
- 7d66b8ee403c270b17908dfd970decf0190e021cf08840fcc371da76464b3b86
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