Instructions to use fpuentes/gpt2-galician with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fpuentes/gpt2-galician with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="fpuentes/gpt2-galician")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fpuentes/gpt2-galician") model = AutoModel.from_pretrained("fpuentes/gpt2-galician") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use fpuentes/gpt2-galician with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fpuentes/gpt2-galician" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fpuentes/gpt2-galician", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/fpuentes/gpt2-galician
- SGLang
How to use fpuentes/gpt2-galician 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 "fpuentes/gpt2-galician" \ --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": "fpuentes/gpt2-galician", "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 "fpuentes/gpt2-galician" \ --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": "fpuentes/gpt2-galician", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use fpuentes/gpt2-galician with Docker Model Runner:
docker model run hf.co/fpuentes/gpt2-galician
Modelo de 125M de par谩metros, adestrado e afinado desde un modelo preentrenado (GPT2-Spanish), usando un dataset en galego de 387MB obtido da wikipedia en galego.
No contexto da Resoluci贸n do 22 de decembro de 2021 da Secretar铆a Xeral de Educaci贸n e Formaci贸n Profesional pola que se convocan premios para o desenvolvemento de proxectos de innovaci贸n tecnol贸xica ou cient铆fica e proxectos de innovaci贸n did谩ctica no 谩mbito da formaci贸n profesional en centros p煤blicos dependentes da Conseller铆a de Cultura, Educaci贸n e Universidade, baixo o nome de "Creaci贸n dun modelo de linguaxe adestrado previamente mediante t茅cnicas de autoatenci贸n para explorar arquitecturas que permitan o seu uso en soluci贸ns de procesamento da linguaxe natural en galego tanto na docencia como na contorna empresarial"
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