Instructions to use codys12/Hunyuen-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codys12/Hunyuen-preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="codys12/Hunyuen-preview", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("codys12/Hunyuen-preview", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use codys12/Hunyuen-preview with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "codys12/Hunyuen-preview" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "codys12/Hunyuen-preview", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/codys12/Hunyuen-preview
- SGLang
How to use codys12/Hunyuen-preview 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 "codys12/Hunyuen-preview" \ --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": "codys12/Hunyuen-preview", "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 "codys12/Hunyuen-preview" \ --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": "codys12/Hunyuen-preview", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use codys12/Hunyuen-preview with Docker Model Runner:
docker model run hf.co/codys12/Hunyuen-preview
| { | |
| "added_tokens_decoder": {}, | |
| "additional_special_tokens": [ | |
| "<|startoftext|>", | |
| "<|extra_0|>", | |
| "<|extra_4|>", | |
| "<|extra_5|>", | |
| "<|eos|>" | |
| ], | |
| "architectures": [ | |
| "GPT2LMHeadModel" | |
| ], | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_hy.HYTokenizer", | |
| null | |
| ] | |
| }, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|eos|>", | |
| "extra_special_tokens": {}, | |
| "model_max_length": 1048576, | |
| "model_type": "gpt2", | |
| "pad_token": "<|pad|>", | |
| "tokenizer_class": "HYTokenizer" | |
| } | |