Instructions to use Mimi1782/GRADIENT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use Mimi1782/GRADIENT 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( "Mimi1782/GRADIENT" ) - Notebooks
- Google Colab
- Kaggle
File size: 231 Bytes
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license: isc
datasets:
- HuggingFaceFW/finetranslations
language:
- io
metrics:
- bertscore
base_model:
- Tongyi-MAI/Z-Image
pipeline_tag: any-to-any
tags:
- agent
new_version: nvidia/personaplex-7b-v1
library_name: fairseq
--- |