Text Generation
Transformers
PyTorch
TensorFlow
JAX
LiteRT
Rust
ONNX
Safetensors
English
gpt2
exbert
text-generation-inference
Instructions to use openai-community/gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai-community/gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="openai-community/gpt2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2") model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use openai-community/gpt2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "openai-community/gpt2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "openai-community/gpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/openai-community/gpt2
- SGLang
How to use openai-community/gpt2 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 "openai-community/gpt2" \ --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": "openai-community/gpt2", "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 "openai-community/gpt2" \ --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": "openai-community/gpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use openai-community/gpt2 with Docker Model Runner:
docker model run hf.co/openai-community/gpt2
request: Add flash attention 2.0 support for GPT2LMHeadModel
#75
by brresnic - opened
model = AutoModelForCausalLM.from_pretrained(
my_GPT2LMHeadModel_checkpoint,
torch_dtype=torch.bfloat16,
attn_implementation="flash_attention_2",
)
throws the following error:
Error loading Flash_Model_2: GPT2LMHeadModel does not support Flash Attention 2.0 yet. Please open an issue on GitHub to request support for this architecture: https://github.com/huggingface/transformers/issues/new
Hi @brresnic
Thanks for your interest! There is an ongoing effort to add FA2 to GPT2 here: https://github.com/huggingface/transformers/pull/27479
Note however since the model size is relatively small I don't expect very interesting speedups with FA2 + gpt2