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 added_tokens.json from dsfsi/gemma_3_4b_it-lora-r128-eng-yor: direct link, hf CLI and curl.
- Browser
- Download file 35 Bytes
-
https://huggingface.co/dsfsi/gemma_3_4b_it-lora-r128-eng-yor/resolve/main/added_tokens.json
- Command line
-
hf download hf://dsfsi/gemma_3_4b_it-lora-r128-eng-yor/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/dsfsi/gemma_3_4b_it-lora-r128-eng-yor/resolve/main/added_tokens.json
35 Bytes
| { | |
| "<image_soft_token>": 262144 | |
| } | |