Instructions to use tencent/TCAndon-Router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tencent/TCAndon-Router with Transformers:

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

pipe = pipeline("text-generation", model="tencent/TCAndon-Router")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tencent/TCAndon-Router")
model = AutoModelForCausalLM.from_pretrained("tencent/TCAndon-Router", device_map="auto")
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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use tencent/TCAndon-Router with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/tencent/TCAndon-Router

SGLang

How to use tencent/TCAndon-Router 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 "tencent/TCAndon-Router" \
    --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": "tencent/TCAndon-Router",
		"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 "tencent/TCAndon-Router" \
        --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": "tencent/TCAndon-Router",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use tencent/TCAndon-Router with Docker Model Runner:
```
docker model run hf.co/tencent/TCAndon-Router
```

TCAndon-Router

Commit History

Jan 12

02:23
Add library_name to metadata (#1)⁠

joska +1: nielsr

Verified signature
14c2f8f

Jan 9

03:51
Update README.md

joska

Verified signature
5aac730
02:13
Update README.md

joska

Verified signature
f8a89ec

Jan 8

07:53
Update README.md

joska

Verified signature
3b15cef
07:50
Update README.md

joska

Verified signature
0b7b181
06:58
Create README.md

joska

Verified signature
9cd2855
06:54
Upload 10 files

joska

Verified signature
11b8ddf
04:44
Delete README.md

joska

Verified signature
03e1d47
04:43
Create README.md⁠

joska

Verified signature
1d8f29b

Jan 7

09:35
initial commit

TencentOpen

Verified signature
e88f00e

Commit History

Jan 12

Add library_name to metadata (#1)⁠

Jan 9

Update README.md

Update README.md

Jan 8

Update README.md

Update README.md

Create README.md

Upload 10 files

Delete README.md

Create README.md⁠

Jan 7

initial commit