Instructions to use cs-552-2026-databand/group_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cs-552-2026-databand/group_model with Transformers:

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

pipe = pipeline("text-generation", model="cs-552-2026-databand/group_model")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cs-552-2026-databand/group_model")
model = AutoModelForCausalLM.from_pretrained("cs-552-2026-databand/group_model")
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 cs-552-2026-databand/group_model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cs-552-2026-databand/group_model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cs-552-2026-databand/group_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cs-552-2026-databand/group_model

SGLang

How to use cs-552-2026-databand/group_model 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 "cs-552-2026-databand/group_model" \
    --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": "cs-552-2026-databand/group_model",
		"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 "cs-552-2026-databand/group_model" \
        --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": "cs-552-2026-databand/group_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cs-552-2026-databand/group_model with Docker Model Runner:
```
docker model run hf.co/cs-552-2026-databand/group_model
```

Automated MNLP evaluation report (2026-06-11)

by zechen-nlp - opened 29 days ago

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

+231

-0

Automated MNLP evaluation report (2026-06-05)ea11cab1

zechen-nlp

29 days ago

Posted by the course CI pipeline.

zechen-nlp changed pull request title from Automated MNLP evaluation report (2026-06-05) to Automated MNLP evaluation report (2026-06-06) 28 days ago

Update Automated MNLP evaluation report (2026-06-06)b8164a6a

zechen-nlp changed pull request title from Automated MNLP evaluation report (2026-06-06) to Automated MNLP evaluation report (2026-06-08) 26 days ago

Update Automated MNLP evaluation report (2026-06-08)a56aea1d

zechen-nlp changed pull request title from Automated MNLP evaluation report (2026-06-08) to Automated MNLP evaluation report (2026-06-09) 25 days ago

Update Automated MNLP evaluation report (2026-06-09)101e173a

Update Automated MNLP evaluation report (2026-06-09)3b4108db

zechen-nlp changed pull request title from Automated MNLP evaluation report (2026-06-09) to Automated MNLP evaluation report (2026-06-10) 23 days ago

Update Automated MNLP evaluation report (2026-06-10)52bf2859

zechen-nlp changed pull request title from Automated MNLP evaluation report (2026-06-10) to Automated MNLP evaluation report (2026-06-11) 23 days ago

Update Automated MNLP evaluation report (2026-06-11)6a31494e

Update Automated MNLP evaluation report (2026-06-11)d54b41a6

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

Ready to merge

This branch is ready to get merged automatically.

· Sign up or log in to comment