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

Libraries

How to use pszemraj/gpt2-medium-halved with Transformers:

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

pipe = pipeline("text-generation", model="pszemraj/gpt2-medium-halved")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pszemraj/gpt2-medium-halved")
model = AutoModelForCausalLM.from_pretrained("pszemraj/gpt2-medium-halved")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use pszemraj/gpt2-medium-halved with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pszemraj/gpt2-medium-halved"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pszemraj/gpt2-medium-halved",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pszemraj/gpt2-medium-halved

SGLang

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

Docker Model Runner
How to use pszemraj/gpt2-medium-halved with Docker Model Runner:
```
docker model run hf.co/pszemraj/gpt2-medium-halved
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Model Card for Model ID

Alright, it's slightly less than half of the original layers from https://hf.co/openai-community/gpt2-medium

Refer to original model card for all details

Downloads last month: 5

Safetensors

Model size

0.2B params

Tensor type

F32

Model tree for pszemraj/gpt2-medium-halved

Quantizations

1 model