Instructions to use johnpaulbin/gpt2-skript-1m-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use johnpaulbin/gpt2-skript-1m-v5 with Transformers:

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

pipe = pipeline("text-generation", model="johnpaulbin/gpt2-skript-1m-v5")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("johnpaulbin/gpt2-skript-1m-v5")
model = AutoModelForCausalLM.from_pretrained("johnpaulbin/gpt2-skript-1m-v5", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use johnpaulbin/gpt2-skript-1m-v5 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "johnpaulbin/gpt2-skript-1m-v5"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "johnpaulbin/gpt2-skript-1m-v5",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/johnpaulbin/gpt2-skript-1m-v5

SGLang

How to use johnpaulbin/gpt2-skript-1m-v5 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 "johnpaulbin/gpt2-skript-1m-v5" \
    --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": "johnpaulbin/gpt2-skript-1m-v5",
		"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 "johnpaulbin/gpt2-skript-1m-v5" \
        --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": "johnpaulbin/gpt2-skript-1m-v5",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use johnpaulbin/gpt2-skript-1m-v5 with Docker Model Runner:
```
docker model run hf.co/johnpaulbin/gpt2-skript-1m-v5
```

gpt2-skript-1m-v5

Commit History

Adding `safetensors` variant of this model (#1)

2136af8

johnpaulbin

SFconvertbot commited on Jun 22, 2023

Create README.md

9ca22bf

johnpaulbin commited on Jul 24, 2021

add model

6161163

johnpaulbin commited on Jul 24, 2021

add tokenizer

8c32383

johnpaulbin commited on Jul 24, 2021

initial commit

1cd228c

system HF Staff commited on Jul 24, 2021

Commit History

Adding `safetensors` variant of this model (#1) 2136af8

Create README.md 9ca22bf

add model 6161163

add tokenizer 8c32383

initial commit 1cd228c

Adding `safetensors` variant of this model (#1)

2136af8

Create README.md

9ca22bf

add model

6161163

add tokenizer

8c32383

initial commit

1cd228c