Instructions to use AI-Sweden-Models/gpt-sw3-126m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AI-Sweden-Models/gpt-sw3-126m with Transformers:

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

pipe = pipeline("text-generation", model="AI-Sweden-Models/gpt-sw3-126m")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AI-Sweden-Models/gpt-sw3-126m")
model = AutoModelForCausalLM.from_pretrained("AI-Sweden-Models/gpt-sw3-126m", device_map="auto")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AI-Sweden-Models/gpt-sw3-126m with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AI-Sweden-Models/gpt-sw3-126m"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AI-Sweden-Models/gpt-sw3-126m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AI-Sweden-Models/gpt-sw3-126m

SGLang

How to use AI-Sweden-Models/gpt-sw3-126m 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 "AI-Sweden-Models/gpt-sw3-126m" \
    --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": "AI-Sweden-Models/gpt-sw3-126m",
		"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 "AI-Sweden-Models/gpt-sw3-126m" \
        --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": "AI-Sweden-Models/gpt-sw3-126m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AI-Sweden-Models/gpt-sw3-126m with Docker Model Runner:
```
docker model run hf.co/AI-Sweden-Models/gpt-sw3-126m
```

Update README.md

by cherry0328 - opened Jan 23

base: refs/heads/main

←

from: refs/pr/8

Discussion Files changed

-0

cherry0328

Jan 23

The GPT-SW3 model is truly impressive! We would love to contribute by updating the README to include information about the base model. This will help address the current gap in the model card.

Update README.mdb6604861

Ekgren changed pull request status to merged Jan 23

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