Instructions to use my-ai-stack/Stack-2-9-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use my-ai-stack/Stack-2-9-finetuned with Transformers:

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

pipe = pipeline("text-generation", model="my-ai-stack/Stack-2-9-finetuned")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("my-ai-stack/Stack-2-9-finetuned")
model = AutoModelForCausalLM.from_pretrained("my-ai-stack/Stack-2-9-finetuned")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use my-ai-stack/Stack-2-9-finetuned with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "my-ai-stack/Stack-2-9-finetuned"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/my-ai-stack/Stack-2-9-finetuned

SGLang

How to use my-ai-stack/Stack-2-9-finetuned 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 "my-ai-stack/Stack-2-9-finetuned" \
    --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": "my-ai-stack/Stack-2-9-finetuned",
		"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 "my-ai-stack/Stack-2-9-finetuned" \
        --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": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use my-ai-stack/Stack-2-9-finetuned with Docker Model Runner:
```
docker model run hf.co/my-ai-stack/Stack-2-9-finetuned
```

Stack-2-9-finetuned / src /cli /pyproject.toml

walidsobhie-code

refactor: Clean up project structure - fewer root folders

99a7be2 about 2 months ago

raw

history blame

1.62 kB

	[build-system]
	requires = ["setuptools>=61.0", "wheel"]
	build-backend = "setuptools.build_meta"

	[project]
	name = "stack-cli"
	version = "2.9.0"
	description = "Stack 2.9 CLI and Agent Interface"
	readme = "../STACK_CLI_README.md"
	license = {text = "MIT"}
	authors = [
	{name = "Walid Sobhi", email = "walid@example.com"}
	]
	keywords = ["cli", "agent", "ai", "automation", "development"]
	classifiers = [
	"Development Status :: 3 - Alpha",
	"Intended Audience :: Developers",
	"License :: OSI Approved :: MIT License",
	"Programming Language :: Python :: 3",
	"Programming Language :: Python :: 3.8",
	"Programming Language :: Python :: 3.9",
	"Programming Language :: Python :: 3.10",
	"Programming Language :: Python :: 3.11",
	"Topic :: Software Development :: Tools",
	]
	requires-python = ">=3.8"
	dependencies = [
	"openai>=1.0.0",
	"openrouter>=1.0.0",
	"anthropic>=0.8.0",
	"aiohttp>=3.9.0",
	"python-dotenv>=1.0.0",
	"prompt-toolkit>=3.0.0",
	"rich>=13.0.0",
	"click>=8.0.0",
	]

	[project.optional-dependencies]
	dev = [
	"pytest>=7.0.0",
	"pytest-cov>=4.0.0",
	"ruff>=0.1.0",
	"mypy>=1.0.0",
	]
	voice = [
	"SpeechRecognition>=3.10.0",
	"pyttsx3>=2.90",
	]

	[project.scripts]
	stack = "stack_cli.cli:main"

	[tool.setuptools.packages.find]
	where = ["."]
	include = ["stack_cli*"]

	[tool.black]
	line-length = 100
	target-version = ['py38', 'py39', 'py310', 'py311']
	include = '\.pyi?$'

	[tool.ruff]
	line-length = 100
	target-version = "py38"

	[tool.mypy]
	python_version = "3.8"
	warn_return_any = true
	warn_unused_configs = true
	disallow_untyped_defs = false