Instructions to use ModalityDance/latent-tts-codi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ModalityDance/latent-tts-codi with Transformers:

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

pipe = pipeline("text-generation", model="ModalityDance/latent-tts-codi")

# Load model directly
from transformers import AutoTokenizer, CODIGPT2

tokenizer = AutoTokenizer.from_pretrained("ModalityDance/latent-tts-codi")
model = CODIGPT2.from_pretrained("ModalityDance/latent-tts-codi")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ModalityDance/latent-tts-codi with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ModalityDance/latent-tts-codi

SGLang

How to use ModalityDance/latent-tts-codi 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 "ModalityDance/latent-tts-codi" \
    --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": "ModalityDance/latent-tts-codi",
		"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 "ModalityDance/latent-tts-codi" \
        --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": "ModalityDance/latent-tts-codi",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ModalityDance/latent-tts-codi with Docker Model Runner:
```
docker model run hf.co/ModalityDance/latent-tts-codi
```

Add pipeline tag and GitHub link

by nielsr HF Staff - opened Jan 12

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+10

-10

nielsr

Jan 12

Hi! I'm Niels from the community science team at Hugging Face.

This pull request improves the model card by:

Adding the pipeline_tag: text-generation to the metadata for better discoverability.
Adding badges and links to the official GitHub repository and the research paper.

The model usage and technical details remain unchanged as they are already well-documented.

Add pipeline tag and GitHub link41a58c96

dd101bb changed pull request status to merged Jan 14

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