Instructions to use Aabdulhadi/Medo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use Aabdulhadi/Medo with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "Aabdulhadi/Medo" ) - Notebooks
- Google Colab
- Kaggle
metadata
license: openrail
datasets:
- ummagumm-a/colorization_dataset2
language:
- ar
metrics:
- accuracy
- character
base_model:
- google/gemma-3n-E4B-it
new_version: google/gemma-3n-E4B-it
pipeline_tag: text-to-3d
library_name: fairseq