Text-to-Speech
MLX
Safetensors
step1
tts
speech
voice-cloning
audio-editing
step-audio
step-audio-editx
stepfun
quantized
int8
apple-silicon
bundled-components
custom_code
Instructions to use appautomaton/step-audio-editx-8bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use appautomaton/step-audio-editx-8bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir step-audio-editx-8bit-mlx appautomaton/step-audio-editx-8bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| { | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "legacy": false, | |
| "model_max_length": 65536, | |
| "pad_token": "<unk>", | |
| "padding_side": "left", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false, | |
| "chat_template": "{% if messages[0]['role'] == 'system' %}{{ '<s>' }}{% endif %}{% for message in messages %}{% if message['role'] == 'user' %}{% set role = 'human' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<|BOT|> ' + role + '\\n' }}{{ message['content'] }}{% if not loop.last or message['role'] != 'assistant' %}{{ '<|EOT|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|BOT|> assistant\\n' }}{% endif %}" | |
| } | |