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
| 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 | |