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 / MODEL_CARD.md

Commit History

fix: optimize model card badges and clean YAML frontmatter

2064035

walidsobhie-code Claude Opus 4.6 commited on Apr 10

fix: optimize badges for faster loading

6c0cc17

walidsobhie-code Claude Opus 4.6 commited on Apr 10

feat: enhance model card with benchmark scores and widget config

cb00545

walidsobhie-code Claude Opus 4.6 commited on Apr 10

Update documentation to 128K context

cc5f046

walidsobhie-code Claude Opus 4.6 commited on Apr 10

fix: restore previous model card with tools showcase

b64b6b0

walidsobhie-code Claude Opus 4.6 commited on Apr 9

reorganize: consolidate root level to 20 folders

b8e3e42

walidsobhie-code Claude Opus 4.6 commited on Apr 9

fix: Remove YAML from MODEL_CARD.md, rely on .modelcard.yml

feb5b3b

walidsobhie-code Claude Opus 4.6 commited on Apr 9

chore: Update model card to match big brand style

e02416c

walidsobhie-code commited on Apr 9

Add tools, fix web search, update model

35697c2

walidsobhie-code commited on Apr 8

Fix Gradio/huggingface_hub version compatibility

97fa10c

walidsobhie-code Claude Opus 4.6 commited on Apr 7

feat: add TypeScript modules and reorganize project structure

bfc7d04

walidsobhie-code Claude Opus 4.6 commited on Apr 3

feat: Together AI integration complete

0908455

walidsobhie-code commited on Apr 2

Commit History

fix: optimize model card badges and clean YAML frontmatter 2064035

fix: optimize badges for faster loading 6c0cc17

feat: enhance model card with benchmark scores and widget config cb00545

Update documentation to 128K context cc5f046

fix: restore previous model card with tools showcase b64b6b0

reorganize: consolidate root level to 20 folders b8e3e42

fix: Remove YAML from MODEL_CARD.md, rely on .modelcard.yml feb5b3b

chore: Update model card to match big brand style e02416c

Add tools, fix web search, update model 35697c2

Fix Gradio/huggingface_hub version compatibility 97fa10c

feat: add TypeScript modules and reorganize project structure bfc7d04

feat: Together AI integration complete 0908455

fix: optimize model card badges and clean YAML frontmatter

2064035

fix: optimize badges for faster loading

6c0cc17

feat: enhance model card with benchmark scores and widget config

cb00545

Update documentation to 128K context

cc5f046

fix: restore previous model card with tools showcase

b64b6b0

reorganize: consolidate root level to 20 folders

b8e3e42

fix: Remove YAML from MODEL_CARD.md, rely on .modelcard.yml

feb5b3b

chore: Update model card to match big brand style

e02416c

Add tools, fix web search, update model

35697c2

Fix Gradio/huggingface_hub version compatibility

97fa10c

feat: add TypeScript modules and reorganize project structure

bfc7d04

feat: Together AI integration complete

0908455