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

Libraries

How to use cs-552-2026-the-transformers/multilingual_model with Transformers:

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

pipe = pipeline("text-generation", model="cs-552-2026-the-transformers/multilingual_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-the-transformers/multilingual_model")
model = AutoModelForCausalLM.from_pretrained("cs-552-2026-the-transformers/multilingual_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-the-transformers/multilingual_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-the-transformers/multilingual_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-the-transformers/multilingual_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cs-552-2026-the-transformers/multilingual_model

SGLang

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

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

multilingual_model

Commit History

Update Automated MNLP evaluation report (2026-05-27)

4f398db
verified

zechen-nlp commited on 12 days ago

Update Automated MNLP evaluation report (2026-05-26)

f77c1df
verified

zechen-nlp commited on 13 days ago

Update Automated MNLP evaluation report (2026-05-25)

9a80749
verified

zechen-nlp commited on 14 days ago

Automated MNLP evaluation report (2026-05-24)

f316281
verified

zechen-nlp commited on 15 days ago

Automated MNLP evaluation report (2026-05-23) (#1)

1924b9c

NicolasBerlin

zechen-nlp commited on 16 days ago

Upload multilingual SFT v3 checkpoint

ccfb88c
verified

NicolasBerlin commited on 17 days ago

Upload multilingual SFT v3 checkpoint

bafac18
verified

NicolasBerlin commited on 19 days ago

Upload multilingual SFT v3 checkpoint

cd40da3
verified

NicolasBerlin commited on 25 days ago

Upload multilingual SFT v3 checkpoint

c45b781
verified

NicolasBerlin commited on 25 days ago

Upload math SFT checkpoint (smoke test)

e892017
verified

NicolasBerlin commited on 28 days ago

initial commit

00d1d41
verified

NicolasBerlin commited on 28 days ago

Commit History

Update Automated MNLP evaluation report (2026-05-27) 4f398db verified

Update Automated MNLP evaluation report (2026-05-26) f77c1df verified

Update Automated MNLP evaluation report (2026-05-25) 9a80749 verified

Automated MNLP evaluation report (2026-05-24) f316281 verified

Automated MNLP evaluation report (2026-05-23) (#1) 1924b9c

Upload multilingual SFT v3 checkpoint ccfb88c verified

Upload multilingual SFT v3 checkpoint bafac18 verified

Upload multilingual SFT v3 checkpoint cd40da3 verified

Upload multilingual SFT v3 checkpoint c45b781 verified

Upload math SFT checkpoint (smoke test) e892017 verified

initial commit 00d1d41 verified