Text Generation
Transformers
PEFT
English
gravityllm
spatial-audio
immersive-audio
spatial9
iamf
instruction-tuning
json
lora
qlora
Instructions to use Spatial9/GravityLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Spatial9/GravityLLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Spatial9/GravityLLM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Spatial9/GravityLLM", dtype="auto") - PEFT
How to use Spatial9/GravityLLM with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Spatial9/GravityLLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Spatial9/GravityLLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Spatial9/GravityLLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Spatial9/GravityLLM
- SGLang
How to use Spatial9/GravityLLM 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 "Spatial9/GravityLLM" \ --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": "Spatial9/GravityLLM", "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 "Spatial9/GravityLLM" \ --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": "Spatial9/GravityLLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Spatial9/GravityLLM with Docker Model Runner:
docker model run hf.co/Spatial9/GravityLLM
File size: 1,908 Bytes
b7720f0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 | {
"target_format": "iamf",
"max_objects": 10,
"style": "club",
"section": "drop",
"global": {
"bpm": 128,
"energy": 0.92
},
"stems": [
{
"id": "v1",
"class": "lead_vocal",
"lufs": -16.8,
"transient": 0.25,
"band_energy": {
"low": 0.1,
"mid": 0.6,
"high": 0.3
},
"leadness": 0.95
},
{
"id": "k1",
"class": "kick",
"lufs": -10.5,
"transient": 0.95,
"band_energy": {
"low": 0.8,
"mid": 0.15,
"high": 0.05
},
"leadness": 0.25
},
{
"id": "b1",
"class": "bass",
"lufs": -12.2,
"transient": 0.55,
"band_energy": {
"low": 0.85,
"mid": 0.12,
"high": 0.03
},
"leadness": 0.35
},
{
"id": "p1",
"class": "pad",
"lufs": -20.3,
"transient": 0.1,
"band_energy": {
"low": 0.2,
"mid": 0.5,
"high": 0.3
},
"leadness": 0.1
},
{
"id": "s1",
"class": "synth_lead",
"lufs": -18.0,
"transient": 0.4,
"band_energy": {
"low": 0.1,
"mid": 0.55,
"high": 0.35
},
"leadness": 0.75
},
{
"id": "fx1",
"class": "fx",
"lufs": -23.0,
"transient": 0.2,
"band_energy": {
"low": 0.1,
"mid": 0.3,
"high": 0.6
},
"leadness": 0.05
}
],
"rules": [
{
"type": "anchor",
"track_class": "lead_vocal",
"az_deg": 0,
"el_deg": 10,
"dist_m": 1.6
},
{
"type": "mono_low_end",
"hz_below": 120
},
{
"type": "width_pref",
"track_class": "pad",
"min_width": 0.75
},
{
"type": "avoid_band_masking",
"mask_target": "lead_vocal",
"band_hz": [
1500,
4500
]
}
]
} |