Instructions to use RetentionLabs/personaplex-ko-s10-textmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Moshi
How to use RetentionLabs/personaplex-ko-s10-textmix with Moshi:
# pip install moshi # Run the interactive web server python -m moshi.server --hf-repo "RetentionLabs/personaplex-ko-s10-textmix" # Then open https://localhost:8998 in your browser
# pip install moshi import torch from moshi.models import loaders # Load checkpoint info from HuggingFace checkpoint = loaders.CheckpointInfo.from_hf_repo("RetentionLabs/personaplex-ko-s10-textmix") # Load the Mimi audio codec mimi = checkpoint.get_mimi(device="cuda") mimi.set_num_codebooks(8) # Encode audio (24kHz, mono) wav = torch.randn(1, 1, 24000 * 10) # [batch, channels, samples] with torch.no_grad(): codes = mimi.encode(wav.cuda()) decoded = mimi.decode(codes) - Notebooks
- Google Colab
- Kaggle
personaplex-ko-s10-textmix (stage10 step 2600)
s9์ ํ๊ตญ์ด ์ํค text-only 20% ํผํฉ(์ค๋์ค ์ฑ๋ ๋ง์คํน)์ ๋ํ ์ง์ . ํ ์คํธ ๋ค์์ฑ ํ๋ณต(ํซ ์ํ๋ง uniq ~0.8-0.9), ์ค๋์ค ๋ฌด์์(ko_prob ์ต๊ณ 0.98). ์ฃผ์: ์ด ๋ฐ์ ๋ง์ง๋ง ์ฒดํฌํฌ์ธํธ(3000)๊ฐ ์๋๋ผ ๋ฒ ์คํธ(2600)๋ค โ ๊ฐ์ ํ๋ฐ ๊ณผ๋ฌตํ ๋๋ฌธ.
๋ก๋ฉ
- ํ์ต/๊ฒ์ดํธ์ ๋์ผํ moshi ๋ฐํ์ ๊ถ์ฅ:
moshi.models.loaders.get_moshi_lm(model.safetensors)+tokenizer_spm_ko.model - HF ๋ฐํ์: dev transformers์
PersonaPlexForConditionalGeneration.from_pretrained(<dir>)(config.json ํฌํจ๋จ). ๋จ, HF ๊ฒฝ๋ก์ selfplay ์์ฑ์ ๋ฌด์ ์ด์๊ฐ ์์(๋ฆฌํฌํธ ยง5 ์ฐธ๊ณ ) โ ํ๊ฐ๋ moshi ๋ฐํ์ ๊ธฐ์ค. - ํ ์คํธ ์ํ๋ง์ temp 0.95 / top_k 60 ๊ถ์ฅ (0.7/25๋ ๋ฐ๋ณต ๋ฃจํ ์ ๋ฐ).
License / ์ฌ์ฉ ๊ณ ์ง
์ด ๊ฐ์ค์น๋ nvidia/personaplex-7b-v1์ ๋ฒ ์ด์ค๋ก NIKL(๊ตญ๋ฆฝ๊ตญ์ด์) ์ผ์๋ํ ์ฝํผ์ค๋ก ํ์ธํ๋ํ ํ์๋ฌผ์
๋๋ค.
๋ฒ ์ด์ค ๋ชจ๋ธ์ ๋ผ์ด์ ์ค๊ฐ ์น๊ณ๋๋ฉฐ, NIKL ์ฝํผ์ค ํ์๋ฌผ์ด๋ผ๋ ์ ์ ๊ณ ๋ คํด ์ฐ๊ตฌ ๋ชฉ์ ์ฌ์ฉ์ ๊ถ์ฅํฉ๋๋ค.
์ ์ฝํผ์ค ๋ฐ์ดํฐ ์์ฒด๋ ํฌํจ๋์ด ์์ง ์์ต๋๋ค.
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