Instructions to use breadlicker45/token-music with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use breadlicker45/token-music with Transformers:

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

pipe = pipeline("text-generation", model="breadlicker45/token-music")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("breadlicker45/token-music")
model = AutoModelForCausalLM.from_pretrained("breadlicker45/token-music")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use breadlicker45/token-music with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "breadlicker45/token-music"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "breadlicker45/token-music",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/breadlicker45/token-music

SGLang

How to use breadlicker45/token-music 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 "breadlicker45/token-music" \
    --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": "breadlicker45/token-music",
		"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 "breadlicker45/token-music" \
        --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": "breadlicker45/token-music",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use breadlicker45/token-music with Docker Model Runner:
```
docker model run hf.co/breadlicker45/token-music
```

token-music

Commit History

Adding `safetensors` variant of this model

317cd28

SFconvertbot commited on Jun 12, 2023

Rename tokenizer (4).json to tokenizer.json

0f89ced

breadlicker45 commited on Jun 11, 2023

Upload tokenizer (4).json

9eb03e3

breadlicker45 commited on Jun 11, 2023

Upload 3 files

e1da95a

breadlicker45 commited on Jun 11, 2023

initial commit

65cd02f

matthew null commited on Jun 11, 2023

Commit History

Adding `safetensors` variant of this model 317cd28

Rename tokenizer (4).json to tokenizer.json 0f89ced

Upload tokenizer (4).json 9eb03e3

Upload 3 files e1da95a

initial commit 65cd02f

Adding `safetensors` variant of this model

317cd28

Rename tokenizer (4).json to tokenizer.json

0f89ced

Upload tokenizer (4).json

9eb03e3

Upload 3 files

e1da95a

initial commit

65cd02f