Instructions to use rjmacarthy/codegen-350M-finetuned-react with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjmacarthy/codegen-350M-finetuned-react with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="rjmacarthy/codegen-350M-finetuned-react")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("rjmacarthy/codegen-350M-finetuned-react") model = AutoModelForCausalLM.from_pretrained("rjmacarthy/codegen-350M-finetuned-react") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use rjmacarthy/codegen-350M-finetuned-react with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "rjmacarthy/codegen-350M-finetuned-react" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "rjmacarthy/codegen-350M-finetuned-react", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/rjmacarthy/codegen-350M-finetuned-react
- SGLang
How to use rjmacarthy/codegen-350M-finetuned-react 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 "rjmacarthy/codegen-350M-finetuned-react" \ --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": "rjmacarthy/codegen-350M-finetuned-react", "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 "rjmacarthy/codegen-350M-finetuned-react" \ --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": "rjmacarthy/codegen-350M-finetuned-react", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use rjmacarthy/codegen-350M-finetuned-react with Docker Model Runner:
docker model run hf.co/rjmacarthy/codegen-350M-finetuned-react
- Xet hash:
- c77f5f7b3b72f72e0c9a0ced541917c3866169636fb577f5251a01d5ff0d9049
- Size of remote file:
- 1.43 GB
- SHA256:
- e997449a994294c019561fd83a72c0d04564ca7bb7e1b6c96cc0107cc010a635
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