Instructions to use Salesforce/codegen-2B-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codegen-2B-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Salesforce/codegen-2B-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen-2B-multi") model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-2B-multi") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Salesforce/codegen-2B-multi with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Salesforce/codegen-2B-multi" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Salesforce/codegen-2B-multi", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Salesforce/codegen-2B-multi
- SGLang
How to use Salesforce/codegen-2B-multi 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 "Salesforce/codegen-2B-multi" \ --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": "Salesforce/codegen-2B-multi", "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 "Salesforce/codegen-2B-multi" \ --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": "Salesforce/codegen-2B-multi", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Salesforce/codegen-2B-multi with Docker Model Runner:
docker model run hf.co/Salesforce/codegen-2B-multi
| {" ": 50280, " ": 50284, " ": 50262, " ": 50266, "\t\t\t\t\t\t\t": 50289, " ": 50264, " ": 50279, " ": 50281, "\t\t\t\t\t\t\t\t\t": 50287, " ": 50286, "\t\t\t": 50293, " ": 50261, " ": 50282, " ": 50283, " ": 50269, " ": 50273, " ": 50271, "\t\t\t\t\t\t\t\t": 50288, " ": 50285, " ": 50276, "\t\t\t\t\t\t": 50290, "\t\t\t\t\t": 50291, " ": 50263, " ": 50278, " ": 50258, " ": 50270, " ": 50259, " ": 50272, " ": 50274, " ": 50267, " ": 50268, "\t\t": 50294, " ": 50257, " ": 50277, "\t\t\t\t": 50292, " ": 50260, " ": 50265, " ": 50275} |