Instructions to use Mimi1782/Ridge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use Mimi1782/Ridge 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/Ridge" ) - Notebooks
- Google Colab
- Kaggle
| license: lppl-1.3c | |
| datasets: | |
| - nohurry/Opus-4.6-Reasoning-3000x-filtered | |
| language: | |
| - dv | |
| metrics: | |
| - bleu | |
| base_model: | |
| - Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice | |
| new_version: Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice | |
| pipeline_tag: feature-extraction | |
| library_name: fairseq | |
| tags: | |
| - climate | |