Instructions to use Finnish-NLP/gpt2-medium-finnish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Finnish-NLP/gpt2-medium-finnish with Transformers:

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

pipe = pipeline("text-generation", model="Finnish-NLP/gpt2-medium-finnish")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Finnish-NLP/gpt2-medium-finnish")
model = AutoModelForCausalLM.from_pretrained("Finnish-NLP/gpt2-medium-finnish", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Finnish-NLP/gpt2-medium-finnish with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Finnish-NLP/gpt2-medium-finnish"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Finnish-NLP/gpt2-medium-finnish",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Finnish-NLP/gpt2-medium-finnish

SGLang

How to use Finnish-NLP/gpt2-medium-finnish 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 "Finnish-NLP/gpt2-medium-finnish" \
    --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": "Finnish-NLP/gpt2-medium-finnish",
		"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 "Finnish-NLP/gpt2-medium-finnish" \
        --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": "Finnish-NLP/gpt2-medium-finnish",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Finnish-NLP/gpt2-medium-finnish with Docker Model Runner:
```
docker model run hf.co/Finnish-NLP/gpt2-medium-finnish
```

aapot commited on Jun 13, 2022

Commit

e34f06f

1 Parent(s): 0aae215

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@@ -119,6 +119,11 @@ Evaluation was done using the *validation* split of the [mc4_fi_cleaned](https:/
 |Finnish-NLP/gpt2-finnish                  |44.19       |
 |Finnish-NLP/gpt2-large-finnish            |**30.74**   |
 ## Team Members
 - Aapo Tanskanen, [Hugging Face profile](https://huggingface.co/aapot), [LinkedIn profile](https://www.linkedin.com/in/aapotanskanen/)

 |Finnish-NLP/gpt2-finnish                  |44.19       |
 |Finnish-NLP/gpt2-large-finnish            |**30.74**   |
+## Acknowledgements
+This project would not have been possible without compute generously provided by Google through the
+[TPU Research Cloud](https://sites.research.google/trc/).
 ## Team Members
 - Aapo Tanskanen, [Hugging Face profile](https://huggingface.co/aapot), [LinkedIn profile](https://www.linkedin.com/in/aapotanskanen/)