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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2") model = AutoModelForMultimodalLM.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
Adds the tokenizer configuration file
#80
by lysandre HF Staff - opened
The tokenizer configuration file is missing and therefore leading to unforeseen errors after the migration of the canonical models.
Refer to the following issue for more information: transformers#29050
The current failing code is the following:
>>> previous_tokenizer = AutoTokenizer.from_pretrained("gpt2")
>>> current_tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2")
>>> print(previous_tokenizer.model_max_length, current_tokenizer.model_max_length)
1000000000000000019884624838656, 1024
This is the result after the fix:
>>> previous_tokenizer = AutoTokenizer.from_pretrained("gpt2")
>>> current_tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2")
>>> print(previous_tokenizer.model_max_length, current_tokenizer.model_max_length)
1024, 1024
lysandre changed pull request status to open
lysandre changed pull request status to merged