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 Settings

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 commited on Apr 9

Commit

71c6bb8

1 Parent(s): 1fba63f

Fix badges: remove broken loved badge, move badges to top

Browse files

Files changed (1) hide show

README.md +6 -9

README.md CHANGED Viewed

@@ -24,18 +24,15 @@ model-index:
 ---
 <p align="center">
-  <a href="https://github.com/my-ai-stack/stack-2.9">
-    <img src="https://img.shields.io/github/stars/my-ai-stack/stack-2.9?style=flat-square" alt="GitHub stars"/>
-  </a>
-  <a href="https://github.com/my-ai-stack/stack-2.9/blob/main/LICENSE">
-    <img src="https://img.shields.io/github/license/my-ai-stack/stack-2.9?style=flat-square&logo=apache" alt="License"/>
-  </a>
   <img src="https://img.shields.io/badge/Parameters-1.5B-blue?style=flat-square" alt="Parameters"/>
   <img src="https://img.shields.io/badge/Context-32K-green?style=flat-square" alt="Context"/>
   <img src="https://img.shields.io/badge/Tools-57-orange?style=flat-square&logo=robot" alt="Tools"/>
   <img src="https://img.shields.io/badge/Agents-Multi--Agent-purple?style=flat-square" alt="Multi-Agent"/>
   <img src="https://img.shields.io/badge/Python-3.10+-blue?style=flat-square&logo=python" alt="Python 3.10+"/>
-  <img src="https://huggingface.co/common-database-badges/blob/main/loved.svg?raw=true" alt="Loved"/>
 </p>
 # Stack 2.9 - AI Agent Framework with 57 Premium Tools 🔧
@@ -141,7 +138,7 @@ result = await registry.call("grep", {"pattern": "def main", "path": "./src"})
 ### Messaging (4)
 `message_send` · `message_list` · `message_channel` · `message_template`
-### Remote & MCP (4)
 `remote_add` · `remote_list` · `remote_trigger` · `remote_remove` · `mcp_call` · `mcp_list_servers` · `read_mcp_resource`
 ### Config & Plan (8)
@@ -156,7 +153,7 @@ result = await registry.call("grep", {"pattern": "def main", "path": "./src"})
 ### Todo (4)
 `todo_add` · `todo_list` · `todo_complete` · `todo_delete`
-### Misc (5)
 `brief` · `brief_summary` · `sleep` · `wait_for` · `synthetic_output` · `structured_data` · `enter_worktree` · `exit_worktree` · `list_worktrees`
 ---

 ---
 <p align="center">
   <img src="https://img.shields.io/badge/Parameters-1.5B-blue?style=flat-square" alt="Parameters"/>
   <img src="https://img.shields.io/badge/Context-32K-green?style=flat-square" alt="Context"/>
   <img src="https://img.shields.io/badge/Tools-57-orange?style=flat-square&logo=robot" alt="Tools"/>
   <img src="https://img.shields.io/badge/Agents-Multi--Agent-purple?style=flat-square" alt="Multi-Agent"/>
+  <img src="https://img.shields.io/badge/License-Apache--2.0-green?style=flat-square&logo=apache" alt="License"/>
   <img src="https://img.shields.io/badge/Python-3.10+-blue?style=flat-square&logo=python" alt="Python 3.10+"/>
+  <a href="https://github.com/my-ai-stack/stack-2.9">
+    <img src="https://img.shields.io/github/stars/my-ai-stack/stack-2.9?style=flat-square" alt="GitHub stars"/>
+  </a>
 </p>
 # Stack 2.9 - AI Agent Framework with 57 Premium Tools 🔧
 ### Messaging (4)
 `message_send` · `message_list` · `message_channel` · `message_template`
+### Remote & MCP (7)
 `remote_add` · `remote_list` · `remote_trigger` · `remote_remove` · `mcp_call` · `mcp_list_servers` · `read_mcp_resource`
 ### Config & Plan (8)
 ### Todo (4)
 `todo_add` · `todo_list` · `todo_complete` · `todo_delete`
+### Misc (8)
 `brief` · `brief_summary` · `sleep` · `wait_for` · `synthetic_output` · `structured_data` · `enter_worktree` · `exit_worktree` · `list_worktrees`
 ---