Instructions to use NbAiLab/salmon-f5-tts-north-sami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NbAiLab/salmon-f5-tts-north-sami with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NbAiLab/salmon-f5-tts-north-sami", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "exp_name": "F5TTS_Base", | |
| "learning_rate": 1e-05, | |
| "batch_size_per_gpu": 3200, | |
| "batch_size_type": "frame", | |
| "max_samples": 64, | |
| "grad_accumulation_steps": 1, | |
| "max_grad_norm": 1, | |
| "epochs": 500, | |
| "num_warmup_updates": 300, | |
| "save_per_updates": 1000, | |
| "last_per_steps": 1000, | |
| "finetune": false, | |
| "file_checkpoint_train": "", | |
| "tokenizer_type": "char", | |
| "tokenizer_file": "", | |
| "mixed_precision": "none", | |
| "logger": "wandb", | |
| "bnb_optimizer": false | |
| } |