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
```

walidsobhie-code Claude Opus 4.6 commited on Apr 4

Commit

57be99c

1 Parent(s): f90ca5c

fix: add retry logic for git clone

Browse files

- Retry up to 3 times on network failures
- Better error handling

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Files changed (1) hide show

colab_train_stack29.ipynb +1 -1

colab_train_stack29.ipynb CHANGED Viewed

@@ -30,7 +30,7 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": "# STEP 2: Clone repo (fresh every time)\nimport shutil\n\nif os.path.exists('stack-2.9'):\n    print(\"Removing old stack-2.9...\")\n    shutil.rmtree('stack-2.9')\n\n!git clone https://github.com/my-ai-stack/stack-2.9.git\n\nos.chdir(REPO_DIR)\nprint(f\"✅ In: {os.getcwd()}\")\n!ls -la"
   },
   {
    "cell_type": "code",

    "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": "# STEP 2: Clone repo (with retry logic)\nimport shutil\nimport time\n\nmax_retries = 3\nfor attempt in range(max_retries):\n    try:\n        if os.path.exists('stack-2.9'):\n            print(f\"Attempt {attempt+1}: Removing old stack-2.9...\")\n            shutil.rmtree('stack-2.9')\n        \n        print(f\"Attempt {attempt+1}: Cloning repository...\")\n        result = !git clone https://github.com/my-ai-stack/stack-2.9.git\n        \n        if os.path.exists('stack-2.9'):\n            print(\"✅ Clone successful!\")\n            break\n    except Exception as e:\n        print(f\"⚠️ Attempt {attempt+1} failed: {e}\")\n        if attempt < max_retries - 1:\n            print(\"Retrying in 5 seconds...\")\n            time.sleep(5)\nelse:\n    raise RuntimeError(\"Failed to clone repository after 3 attempts\")\n\nos.chdir(REPO_DIR)\nprint(f\"✅ In: {os.getcwd()}\")\n!ls -la"
   },
   {
    "cell_type": "code",