Instructions to use aubmindlab/aragpt2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aubmindlab/aragpt2-medium with Transformers:

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

pipe = pipeline("text-generation", model="aubmindlab/aragpt2-medium")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("aubmindlab/aragpt2-medium")
model = AutoModelForCausalLM.from_pretrained("aubmindlab/aragpt2-medium")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use aubmindlab/aragpt2-medium with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aubmindlab/aragpt2-medium"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aubmindlab/aragpt2-medium",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/aubmindlab/aragpt2-medium

SGLang

How to use aubmindlab/aragpt2-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 "aubmindlab/aragpt2-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": "aubmindlab/aragpt2-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 "aubmindlab/aragpt2-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": "aubmindlab/aragpt2-medium",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use aubmindlab/aragpt2-medium with Docker Model Runner:
```
docker model run hf.co/aubmindlab/aragpt2-medium
```

aragpt2-medium

Commit History

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initial commit

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Commit History

Adding `safetensors` variant of this model 04b1691

Update README.md c7ccbce

added tensorboard logs 9d991bf

Update README.md ca727f5

upload flax model bcfac93

allow flax 8b0854a

added citation 5c01fd5

Update README.md aac1054

Added missing vocab file 4dd5e0b

Update README.md 1b3a0ef

fixed text 612594b

Added model files a7bb45d

initial commit 730d383