Instructions to use intelia-lab-uah/mt0-base_QG_SQAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use intelia-lab-uah/mt0-base_QG_SQAC with Transformers:

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

pipe = pipeline("text-generation", model="intelia-lab-uah/mt0-base_QG_SQAC")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("intelia-lab-uah/mt0-base_QG_SQAC")
model = AutoModelForSeq2SeqLM.from_pretrained("intelia-lab-uah/mt0-base_QG_SQAC", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use intelia-lab-uah/mt0-base_QG_SQAC with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "intelia-lab-uah/mt0-base_QG_SQAC"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "intelia-lab-uah/mt0-base_QG_SQAC",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/intelia-lab-uah/mt0-base_QG_SQAC

SGLang

How to use intelia-lab-uah/mt0-base_QG_SQAC 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 "intelia-lab-uah/mt0-base_QG_SQAC" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "intelia-lab-uah/mt0-base_QG_SQAC",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "intelia-lab-uah/mt0-base_QG_SQAC" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "intelia-lab-uah/mt0-base_QG_SQAC",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use intelia-lab-uah/mt0-base_QG_SQAC with Docker Model Runner:
```
docker model run hf.co/intelia-lab-uah/mt0-base_QG_SQAC
```

mt0-base_QG_SQAC

Commit History

Update README.md

b009188
verified

intelia-lab commited on Mar 3

Update README.md

a3594b0
verified

intelia-lab commited on Mar 3

Create LICENSES/Apache-2.0.txt

31c5dea
verified

intelia-lab commited on Mar 3

Create LICENSE.md

a09c31d
verified

intelia-lab commited on Mar 3

Adding `safetensors` variant of this model (#2)

f20e49d
verified

davidFD19

SFconvertbot commited on May 7, 2025

Upload folder using huggingface_hub

0f4dc05
verified

intelia-lab commited on Apr 24, 2025

Create README.md

4993f4b
verified

intelia-lab commited on Apr 24, 2025

initial commit

0bfd2cf
verified

intelia-lab commited on Apr 24, 2025

Commit History

Update README.md b009188 verified

Update README.md a3594b0 verified

Create LICENSES/Apache-2.0.txt 31c5dea verified

Create LICENSE.md a09c31d verified

Adding `safetensors` variant of this model (#2) f20e49d verified

Upload folder using huggingface_hub 0f4dc05 verified

Create README.md 4993f4b verified

initial commit 0bfd2cf verified

Update README.md

b009188
verified

Update README.md

a3594b0
verified

Create LICENSES/Apache-2.0.txt

31c5dea
verified

Create LICENSE.md

a09c31d
verified

Adding `safetensors` variant of this model (#2)

f20e49d
verified

Upload folder using huggingface_hub

0f4dc05
verified

Create README.md

4993f4b
verified

initial commit

0bfd2cf
verified