Instructions to use kyryl0s/gpt2-uk-xxs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyryl0s/gpt2-uk-xxs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kyryl0s/gpt2-uk-xxs")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("kyryl0s/gpt2-uk-xxs") model = AutoModelForCausalLM.from_pretrained("kyryl0s/gpt2-uk-xxs") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use kyryl0s/gpt2-uk-xxs with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kyryl0s/gpt2-uk-xxs" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kyryl0s/gpt2-uk-xxs", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/kyryl0s/gpt2-uk-xxs
- SGLang
How to use kyryl0s/gpt2-uk-xxs 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 "kyryl0s/gpt2-uk-xxs" \ --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": "kyryl0s/gpt2-uk-xxs", "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 "kyryl0s/gpt2-uk-xxs" \ --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": "kyryl0s/gpt2-uk-xxs", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use kyryl0s/gpt2-uk-xxs with Docker Model Runner:
docker model run hf.co/kyryl0s/gpt2-uk-xxs
GPT2 being trained on Ukrainian news.
General info:
The model is not ready yet but I'm working on it. It also has a relatively small context window, which makes it quite uninteresting.
Example of usage:
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("kyryl0s/gpt2-uk-xxs")
model = AutoModelForCausalLM.from_pretrained("kyryl0s/gpt2-uk-xxs")
input_ids = tokenizer.encode("ะัััะฝ โ ", add_special_tokens=False, return_tensors='pt')
outputs = model.generate(
input_ids,
do_sample=True,
num_return_sequences=3,
max_length=50
)
for i, out in enumerate(outputs):
print("{}: {}".format(i, tokenizer.decode(out)))
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