Instructions to use cenkersisman/gpt2-turkish-50m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cenkersisman/gpt2-turkish-50m with Transformers:

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

pipe = pipeline("text-generation", model="cenkersisman/gpt2-turkish-50m")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cenkersisman/gpt2-turkish-50m")
model = AutoModelForCausalLM.from_pretrained("cenkersisman/gpt2-turkish-50m", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cenkersisman/gpt2-turkish-50m with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cenkersisman/gpt2-turkish-50m"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cenkersisman/gpt2-turkish-50m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/cenkersisman/gpt2-turkish-50m

SGLang

How to use cenkersisman/gpt2-turkish-50m 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 "cenkersisman/gpt2-turkish-50m" \
    --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": "cenkersisman/gpt2-turkish-50m",
		"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 "cenkersisman/gpt2-turkish-50m" \
        --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": "cenkersisman/gpt2-turkish-50m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use cenkersisman/gpt2-turkish-50m with Docker Model Runner:
```
docker model run hf.co/cenkersisman/gpt2-turkish-50m
```

🚩 Report: Copyright infringement

by ozgengoknar - opened Apr 12

Discussion

ozgengoknar

Apr 12

Infringement of copyright of Gorkem Goknar TurkishGPTmodel.Commitment date s can be compared .Citation is needed.Thıs person uses Görkem Göknar's base models as if he owns and irequires citation.

no-mad

HF Staff Apr 14

Hi @cenkersisman
Would you mind chiming in here?

@ozgengoknar Thank you for reporting, if you are not able to come to a resolution here, could you please forward us a DMCA takedown notice so we can help you move this along?

cenkersisman

Owner 23 days ago

Hi @ozgengoknar and @no-mad ,

I sincerely apologize for the late reply; I just saw this notification today.

There is a clear misunderstanding here. I did not use Görkem Göknar's model as a base for this project. As you can clearly see in the config.json file of my repository, the _name_or_path is "output_model_dir\checkpoint-600000". This reflects my own independent, local training process from scratch.

The similarities are simply due to both of us training standard GPT-2 models for the Turkish language. Therefore, no copyright infringement has occurred.

I hope this clarifies the situation. Please let me know if you need any further technical details.

no-mad

HF Staff 23 days ago

Hi @cenkersisman

Thanks a million for clarifying 🙏

Closing this report as we did not receive a valid takedown notice

no-mad HF Staff changed discussion status to closed 23 days ago

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