Instructions to use voidful/gpt2-base-ptt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/gpt2-base-ptt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="voidful/gpt2-base-ptt")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("voidful/gpt2-base-ptt") model = AutoModelForCausalLM.from_pretrained("voidful/gpt2-base-ptt") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use voidful/gpt2-base-ptt with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "voidful/gpt2-base-ptt" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "voidful/gpt2-base-ptt", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/voidful/gpt2-base-ptt
- SGLang
How to use voidful/gpt2-base-ptt 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 "voidful/gpt2-base-ptt" \ --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": "voidful/gpt2-base-ptt", "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 "voidful/gpt2-base-ptt" \ --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": "voidful/gpt2-base-ptt", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use voidful/gpt2-base-ptt with Docker Model Runner:
docker model run hf.co/voidful/gpt2-base-ptt
| {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "eos_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "ckiplab/gpt2-base-chinese", "do_basic_tokenize": true, "never_split": null} |