Instructions to use transfaeries/Twilight-Sparkle-GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use transfaeries/Twilight-Sparkle-GPT with Transformers:

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

pipe = pipeline("text-generation", model="transfaeries/Twilight-Sparkle-GPT")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("transfaeries/Twilight-Sparkle-GPT")
model = AutoModelForCausalLM.from_pretrained("transfaeries/Twilight-Sparkle-GPT")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use transfaeries/Twilight-Sparkle-GPT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "transfaeries/Twilight-Sparkle-GPT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "transfaeries/Twilight-Sparkle-GPT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/transfaeries/Twilight-Sparkle-GPT

SGLang

How to use transfaeries/Twilight-Sparkle-GPT 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 "transfaeries/Twilight-Sparkle-GPT" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "transfaeries/Twilight-Sparkle-GPT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "transfaeries/Twilight-Sparkle-GPT" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "transfaeries/Twilight-Sparkle-GPT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use transfaeries/Twilight-Sparkle-GPT with Docker Model Runner:
```
docker model run hf.co/transfaeries/Twilight-Sparkle-GPT
```

Twilight-Sparkle-GPT

Commit History

Create README.md

c91dd54

transfaeries commited on Sep 17, 2021

add tokenizer

c76075e

transfaeries commited on Sep 16, 2021

add model

1ebf7e6

transfaeries commited on Sep 16, 2021

initial commit

9df6ab8

system HF Staff commited on Sep 16, 2021

Commit History

Create README.md c91dd54

add tokenizer c76075e

add model 1ebf7e6

initial commit 9df6ab8

Create README.md

c91dd54

add tokenizer

c76075e

add model

1ebf7e6

initial commit

9df6ab8