Instructions to use yhavinga/gpt2-large-dutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use yhavinga/gpt2-large-dutch with Transformers:

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

pipe = pipeline("text-generation", model="yhavinga/gpt2-large-dutch")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("yhavinga/gpt2-large-dutch")
model = AutoModelForCausalLM.from_pretrained("yhavinga/gpt2-large-dutch", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use yhavinga/gpt2-large-dutch with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/yhavinga/gpt2-large-dutch

SGLang

How to use yhavinga/gpt2-large-dutch 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 "yhavinga/gpt2-large-dutch" \
    --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": "yhavinga/gpt2-large-dutch",
		"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 "yhavinga/gpt2-large-dutch" \
        --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": "yhavinga/gpt2-large-dutch",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use yhavinga/gpt2-large-dutch with Docker Model Runner:
```
docker model run hf.co/yhavinga/gpt2-large-dutch
```

yhavinga commited on Mar 20, 2022

Commit

3c46b2c

1 Parent(s): d8765fa

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@@ -58,8 +58,8 @@ TL;DR: [yhavinga/gpt2-medium-dutch](https://huggingface.co/yhavinga/gpt2-medium-
 |                                                                                   | model   | params | train seq len | ppl  | loss | batch size | epochs | steps           | optim     | lr     | duration | config    |
 |-----------------------------------------------------------------------------------|---------|--------|---------------|------|------|------------|--------|-----------------|-----------|--------|----------|-----------|
-| [yhavinga/gpt-neo-125M-dutch](https://huggingface.co/yhavinga/gpt-neo-125M-dutch) | gpt neo | 125M   | 512           | 20.9 | 3.04 | 128        | 1      | 190000/558608          | adafactor | 2.4e-3 | 1d 12h   | full |
-| [yhavinga/gpt2-medium-dutch](https://huggingface.co/yhavinga/gpt2-medium-dutch)   | gpt2    | 345M   | 512           | 15.1 | 2.71 | 128        | 1      | 320000/520502   | adafactor | 8e-4   | 7d 2h    | full      |
 | [yhavinga/gpt2-large-dutch](https://huggingface.co/yhavinga/gpt2-large-dutch)     | gpt2    | 762M   | 512           | 15.1 | 2.72 | 32         | 1      | 1100000/2082009 | adafactor | 3.3e-5 | 8d 15h   | large     |
 | [yhavinga/gpt-neo-1.3B-dutch](https://huggingface.co/yhavinga/gpt-neo-1.3B-dutch) | gpt neo | 1.3B   | 512           | 16.0 | 2.77 | 16         | 1      | 960000/3049896  | adafactor | 5e-4   | 7d 11h   | full      |

 |                                                                                   | model   | params | train seq len | ppl  | loss | batch size | epochs | steps           | optim     | lr     | duration | config    |
 |-----------------------------------------------------------------------------------|---------|--------|---------------|------|------|------------|--------|-----------------|-----------|--------|----------|-----------|
+| [yhavinga/gpt-neo-125M-dutch](https://huggingface.co/yhavinga/gpt-neo-125M-dutch) | gpt neo | 125M   | 512           | 20.9 | 3.04 | 128        | 1      | 190000/558608          | adam | 2.4e-3 | 1d 12h   | full |
+| [yhavinga/gpt2-medium-dutch](https://huggingface.co/yhavinga/gpt2-medium-dutch)   | gpt2    | 345M   | 512           | 15.1 | 2.71 | 128        | 1      | 320000/520502   | adam | 8e-4   | 7d 2h    | full      |
 | [yhavinga/gpt2-large-dutch](https://huggingface.co/yhavinga/gpt2-large-dutch)     | gpt2    | 762M   | 512           | 15.1 | 2.72 | 32         | 1      | 1100000/2082009 | adafactor | 3.3e-5 | 8d 15h   | large     |
 | [yhavinga/gpt-neo-1.3B-dutch](https://huggingface.co/yhavinga/gpt-neo-1.3B-dutch) | gpt neo | 1.3B   | 512           | 16.0 | 2.77 | 16         | 1      | 960000/3049896  | adafactor | 5e-4   | 7d 11h   | full      |