Text Generation
Transformers
PyTorch
TensorFlow
JAX
Rust
Safetensors
English
gpt2
text-generation-inference
Instructions to use openai-community/gpt2-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai-community/gpt2-xl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="openai-community/gpt2-xl")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2-xl") model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2-xl") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use openai-community/gpt2-xl with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "openai-community/gpt2-xl" # 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-xl", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/openai-community/gpt2-xl
- SGLang
How to use openai-community/gpt2-xl 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-xl" \ --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-xl", "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-xl" \ --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-xl", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use openai-community/gpt2-xl with Docker Model Runner:
docker model run hf.co/openai-community/gpt2-xl
Request: DOI
#13 opened 11 months ago
by
estrella-vp
training gpt2 xl from stratch?
2
#12 opened almost 2 years ago
by
brando
Alternative quantizations.
#11 opened almost 2 years ago
by
ZeroWw
[AUTOMATED] Model Memory Requirements
#10 opened almost 2 years ago
by
model-sizer-bot
[AUTOMATED] Model Memory Requirements
#8 opened over 2 years ago
by
model-sizer-bot
Add evaluation results on the inverse-scaling--NeQA config and train split of inverse-scaling/NeQA
#3 opened over 3 years ago
by
autoevaluator