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LiuZH-19
/
SongGen_interleaving_A_V

Text Generation
Transformers
Safetensors
songgen
Model card Files Files and versions
xet
Community

Instructions to use LiuZH-19/SongGen_interleaving_A_V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LiuZH-19/SongGen_interleaving_A_V with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="LiuZH-19/SongGen_interleaving_A_V")
    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("LiuZH-19/SongGen_interleaving_A_V", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use LiuZH-19/SongGen_interleaving_A_V with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "LiuZH-19/SongGen_interleaving_A_V"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "LiuZH-19/SongGen_interleaving_A_V",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/LiuZH-19/SongGen_interleaving_A_V
  • SGLang

    How to use LiuZH-19/SongGen_interleaving_A_V 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 "LiuZH-19/SongGen_interleaving_A_V" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "LiuZH-19/SongGen_interleaving_A_V",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    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 "LiuZH-19/SongGen_interleaving_A_V" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "LiuZH-19/SongGen_interleaving_A_V",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use LiuZH-19/SongGen_interleaving_A_V with Docker Model Runner:

    docker model run hf.co/LiuZH-19/SongGen_interleaving_A_V
SongGen_interleaving_A_V
5.42 GB
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  • 1 contributor
History: 4 commits
LiuZH-19's picture
LiuZH-19
Update config.json
1f020d2 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
    Upload tokenizer 11 months ago
  • config.json
    4.97 kB
    Update config.json 11 months ago
  • generation_config.json
    218 Bytes
    Upload SongGenDualTrackForConditionalGeneration 11 months ago
  • model-00001-of-00002.safetensors
    5 GB
    xet
    Upload SongGenDualTrackForConditionalGeneration 11 months ago
  • model-00002-of-00002.safetensors
    424 MB
    xet
    Upload SongGenDualTrackForConditionalGeneration 11 months ago
  • model.safetensors.index.json
    169 kB
    Upload SongGenDualTrackForConditionalGeneration 11 months ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer 11 months ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer 11 months ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer 11 months ago
  • tokenizer_config.json
    20.8 kB
    Upload tokenizer 11 months ago