Instructions to use openai-community/gpt2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openai-community/gpt2-medium with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="openai-community/gpt2-medium")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2-medium")
model = AutoModelForMultimodalLM.from_pretrained("openai-community/gpt2-medium")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openai-community/gpt2-medium with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openai-community/gpt2-medium"
# 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-medium",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/openai-community/gpt2-medium

SGLang

How to use openai-community/gpt2-medium 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-medium" \
    --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-medium",
		"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-medium" \
        --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-medium",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use openai-community/gpt2-medium with Docker Model Runner:
```
docker model run hf.co/openai-community/gpt2-medium
```

Marissa Gerchick commited on Jun 27, 2022

Commit

0bc8fec

1 Parent(s): 3de2d0d

fix typo

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@@ -25,7 +25,7 @@ license: mit
 - **Model Type:** Transformer-based language model
 - **Language(s):** English
 - **License:** [Modified MIT License](https://github.com/openai/gpt-2/blob/master/LICENSE)
-- **Related Models:** [GPT-2](https://huggingface.co/gpt2), [GPT-Large](https://huggingface.co/gpt2-large) and [GPT-XL](https://huggingface.co/gpt2-xl)
 - **Resources for more information:**
   - [Research Paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)
   - [OpenAI Blog Post](https://openai.com/blog/better-language-models/)

 - **Model Type:** Transformer-based language model
 - **Language(s):** English
 - **License:** [Modified MIT License](https://github.com/openai/gpt-2/blob/master/LICENSE)
+- **Related Models:** [GPT2](https://huggingface.co/gpt2), [GPT2-Large](https://huggingface.co/gpt2-large) and [GPT2-XL](https://huggingface.co/gpt2-xl)
 - **Resources for more information:**
   - [Research Paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)
   - [OpenAI Blog Post](https://openai.com/blog/better-language-models/)