Text Generation
Transformers
PyTorch
Safetensors
English
llama
feature-extraction
text-generation-inference
Text Generation
Yi
ngoan
Instructions to use ngoan/NgoanYi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngoan/NgoanYi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ngoan/NgoanYi")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ngoan/NgoanYi") model = AutoModel.from_pretrained("ngoan/NgoanYi") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ngoan/NgoanYi with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ngoan/NgoanYi" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ngoan/NgoanYi", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ngoan/NgoanYi
- SGLang
How to use ngoan/NgoanYi 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 "ngoan/NgoanYi" \ --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": "ngoan/NgoanYi", "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 "ngoan/NgoanYi" \ --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": "ngoan/NgoanYi", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ngoan/NgoanYi with Docker Model Runner:
docker model run hf.co/ngoan/NgoanYi
- Xet hash:
- f69858e9c1f2b03ff92d0547166192e3adef21ff3c0ea5c36820be8f0ca9a3f9
- Size of remote file:
- 9.51 GB
- SHA256:
- 1a7847feb3d9f07801202abf24084255f91de20a35ba5235f1467cca12aad44d
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