Instructions to use nikokons/gpt2-greek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikokons/gpt2-greek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="nikokons/gpt2-greek")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nikokons/gpt2-greek") model = AutoModelForCausalLM.from_pretrained("nikokons/gpt2-greek") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use nikokons/gpt2-greek with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nikokons/gpt2-greek" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nikokons/gpt2-greek", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/nikokons/gpt2-greek
- SGLang
How to use nikokons/gpt2-greek 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 "nikokons/gpt2-greek" \ --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": "nikokons/gpt2-greek", "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 "nikokons/gpt2-greek" \ --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": "nikokons/gpt2-greek", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use nikokons/gpt2-greek with Docker Model Runner:
docker model run hf.co/nikokons/gpt2-greek
strange tokens of Greek sentence tokenization
Hi,
When I use the model's tokenizer in order to tokenize a Greek sentence
tokenizer = load_tokenizer(model_path)
tokenizer.tokenize(“Ποιο τρίγωνο λέγεται αμβλυγώνιο?”)
I get
[‘Î’,
‘ł’,
‘ο’,
‘ιο’,
‘ĠÏĦÏģίγÏīνο’,
‘ĠλÎŃγεÏĦαι’,
‘Ġαμβ’,
‘λÏħ’,
‘γÏİν’,
‘ιο’,
‘?’]
Is this normal? Should't I see tokens or sub-word tokens in Greek?
Also when I open the vocabulary I don't see any Greek words.
I want to fine tune your model for text generation in the Greek language
Dear Niko, I would like to ask you some questions about your fine tuned model gpt2- greek. Do you have any contact info?