nineninesix/kani-tts-370m-MLX

Model

nineninesix/kani-tts-370m-MLX

7

3 commits

1 linked in READMEs

updated Oct 8, 2025

See the code

README

nineninesix/kani-tts-370m-MLX

This model nineninesix/kani-tts-370m-MLX was converted to MLX format from nineninesix/kani-tts-370m using mlx-lm version 0.28.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("nineninesix/kani-tts-370m-MLX")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
lfm2
safetensors
text-to-speech

Contributors

ylankgz

3 commits

nineninesix/kani-tts-370m-MLX

Model

nineninesix/kani-tts-370m-MLX

7

3 commits

1 linked in READMEs

updated Oct 8, 2025

See the code

README

nineninesix/kani-tts-370m-MLX

This model nineninesix/kani-tts-370m-MLX was converted to MLX format from nineninesix/kani-tts-370m using mlx-lm version 0.28.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("nineninesix/kani-tts-370m-MLX")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
lfm2
safetensors
text-to-speech

Contributors

ylankgz

3 commits