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

Libraries

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

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

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

Use Docker

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

SGLang

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

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

zechen-nlp commited on May 16

Commit

fbb906f

verified ·

1 Parent(s): 3d08789

Update Automated MNLP evaluation report (2026-05-16)

Browse files

Files changed (1) hide show

EVAL_REPORT.md +2 -2

EVAL_REPORT.md CHANGED Viewed

@@ -2,7 +2,7 @@
 - **Model repo:** [`cs-552-2026-barn/multilingual_model`](https://huggingface.co/cs-552-2026-barn/multilingual_model)
 - **Owner(s):** group **barn**
-- **Generated at:** 2026-05-13T23:30:17+00:00 (UTC)
 - **Pipeline:** [mnlp-project-ci](https://github.com/eric11eca/mnlp-project-ci)
 _This PR is opened automatically by the course CI. It is **non-blocking** — you do not need to merge it. The next nightly run will refresh this file._
@@ -21,7 +21,7 @@ _This PR is opened automatically by the course CI. It is **non-blocking** — yo
 ### multilingual — `generation_config`
 ```
-generation_config.json not found: 404 Client Error. (Request ID: Root=1-6a04f212-425009961b8a3ae23e44c6f8;6c14b42f-1b45-4690-9e45-0f081bda870a)
 Entry Not Found for url: https://huggingface.co/cs-552-2026-barn/multilingual_model/resolve/main/generation_config.json.
 ```

 - **Model repo:** [`cs-552-2026-barn/multilingual_model`](https://huggingface.co/cs-552-2026-barn/multilingual_model)
 - **Owner(s):** group **barn**
+- **Generated at:** 2026-05-16T04:57:46+00:00 (UTC)
 - **Pipeline:** [mnlp-project-ci](https://github.com/eric11eca/mnlp-project-ci)
 _This PR is opened automatically by the course CI. It is **non-blocking** — you do not need to merge it. The next nightly run will refresh this file._
 ### multilingual — `generation_config`
 ```
+generation_config.json not found: 404 Client Error. (Request ID: Root=1-6a07f1a5-43dba4533eeeba5f55cc7065;f9dcf453-90c6-4bf1-8bea-81edb1a6e1e8)
 Entry Not Found for url: https://huggingface.co/cs-552-2026-barn/multilingual_model/resolve/main/generation_config.json.
 ```