Instructions to use JamesRoy/DGPT-RL-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JamesRoy/DGPT-RL-V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="JamesRoy/DGPT-RL-V3")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("JamesRoy/DGPT-RL-V3") model = AutoModelForCausalLM.from_pretrained("JamesRoy/DGPT-RL-V3") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use JamesRoy/DGPT-RL-V3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "JamesRoy/DGPT-RL-V3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JamesRoy/DGPT-RL-V3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/JamesRoy/DGPT-RL-V3
- SGLang
How to use JamesRoy/DGPT-RL-V3 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 "JamesRoy/DGPT-RL-V3" \ --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": "JamesRoy/DGPT-RL-V3", "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 "JamesRoy/DGPT-RL-V3" \ --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": "JamesRoy/DGPT-RL-V3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use JamesRoy/DGPT-RL-V3 with Docker Model Runner:
docker model run hf.co/JamesRoy/DGPT-RL-V3
- Xet hash:
- b2480b619513348822ac4dace8375453425cbb855088dd0f8f325ac5f4eae02e
- Size of remote file:
- 1.44 GB
- SHA256:
- c2bbda49844307f9d9176aeaef8aee2d3ce66b88233d1095fab92aea2f472ff2
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