Instructions to use yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full

SGLang

How to use yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full with Docker Model Runner:
```
docker model run hf.co/yigagilbert/stepaudio2-mini-luganda-english-bidirectional-s2st-full
```

stepaudio2-mini-luganda-english-bidirectional-s2st-full

File size: 2,039 Bytes

8eb4145

{
  "architectures": [
    "StepAudio2ForCausalLM"
  ],
  "audio_encoder_config": {
    "adapter_stride": 2,
    "kernel_size": 3,
    "llm_dim": 3584,
    "model_type": "step_audio_2_encoder",
    "n_audio_ctx": 1500,
    "n_audio_head": 20,
    "n_audio_layer": 32,
    "n_audio_state": 1280,
    "n_codebook_size": 4096,
    "n_mels": 128
  },
  "auto_map": {
    "AutoConfig": "configuration_step_audio_2.StepAudio2Config",
    "AutoModelForCausalLM": "modeling_step_audio_2.StepAudio2ForCausalLM"
  },
  "dtype": "bfloat16",
  "max_window_layers": null,
  "model_type": "step_audio_2",
  "sliding_window": 2048,
  "text_config": {
    "architectures": [
      "Qwen2ForCausalLM"
    ],
    "attention_dropout": 0.0,
    "dtype": "bfloat16",
    "hidden_act": "silu",
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    "initializer_range": 0.02,
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  "transformers_version": "4.57.6",
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}