Instructions to use Yasu-Okuda/ReGPT-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yasu-Okuda/ReGPT-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Yasu-Okuda/ReGPT-2", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Yasu-Okuda/ReGPT-2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Yasu-Okuda/ReGPT-2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Yasu-Okuda/ReGPT-2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Yasu-Okuda/ReGPT-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Yasu-Okuda/ReGPT-2
- SGLang
How to use Yasu-Okuda/ReGPT-2 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 "Yasu-Okuda/ReGPT-2" \ --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": "Yasu-Okuda/ReGPT-2", "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 "Yasu-Okuda/ReGPT-2" \ --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": "Yasu-Okuda/ReGPT-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Yasu-Okuda/ReGPT-2 with Docker Model Runner:
docker model run hf.co/Yasu-Okuda/ReGPT-2
| { | |
| "architectures": [ | |
| "GPT" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "modeling_gpt.GPTConfig", | |
| "AutoModelForCausalLM": "modeling_gpt.GPT" | |
| }, | |
| "dtype": "float32", | |
| "emb_dim": 768, | |
| "head_num": 12, | |
| "layer_num": 12, | |
| "max_context_len": 1024, | |
| "micro_batch": 1, | |
| "model_type": "custom_gpt2", | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.12.0", | |
| "vocab_size": 50304 | |
| } | |