Instructions to use jonathanhe123/iapo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonathanhe123/iapo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jonathanhe123/iapo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonathanhe123/iapo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use jonathanhe123/iapo with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jonathanhe123/iapo" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jonathanhe123/iapo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/jonathanhe123/iapo
- SGLang
How to use jonathanhe123/iapo 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 "jonathanhe123/iapo" \ --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": "jonathanhe123/iapo", "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 "jonathanhe123/iapo" \ --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": "jonathanhe123/iapo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use jonathanhe123/iapo with Docker Model Runner:
docker model run hf.co/jonathanhe123/iapo
Update metadata and improve model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
This PR improves the model card and metadata for the IAPO checkpoints:
- Changed the
pipeline_tagfromreinforcement-learningtotext-generationfor better discoverability and to enable the inference widget/standard LLM evaluation. - Added
library_name: transformersto the metadata to enable the "Use in Transformers" code snippet button. - Cleaned up the Markdown layout and ensured clear links to the paper and code repository.
- Provided a clear usage example for loading the different subfolders available in this repository.
jonathanhe123 changed pull request status to merged