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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- 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
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.9878147847278635, | |
| "eval_steps": 500, | |
| "global_step": 76, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.99, | |
| "step": 76, | |
| "total_flos": 9093339118829568.0, | |
| "train_loss": 1.926696175023129, | |
| "train_runtime": 735.6871, | |
| "train_samples_per_second": 3.347, | |
| "train_steps_per_second": 0.103 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 76, | |
| "num_train_epochs": 1, | |
| "save_steps": 500, | |
| "total_flos": 9093339118829568.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |