Text Generation
Transformers
PyTorch
TensorBoard
gpt2
Generated from Trainer
text-generation-inference
Instructions to use Pyjay/gpt2-medium-dutch-finetuned-text-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pyjay/gpt2-medium-dutch-finetuned-text-generation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Pyjay/gpt2-medium-dutch-finetuned-text-generation")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Pyjay/gpt2-medium-dutch-finetuned-text-generation") model = AutoModelForCausalLM.from_pretrained("Pyjay/gpt2-medium-dutch-finetuned-text-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Pyjay/gpt2-medium-dutch-finetuned-text-generation with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Pyjay/gpt2-medium-dutch-finetuned-text-generation" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Pyjay/gpt2-medium-dutch-finetuned-text-generation", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Pyjay/gpt2-medium-dutch-finetuned-text-generation
- SGLang
How to use Pyjay/gpt2-medium-dutch-finetuned-text-generation 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 "Pyjay/gpt2-medium-dutch-finetuned-text-generation" \ --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": "Pyjay/gpt2-medium-dutch-finetuned-text-generation", "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 "Pyjay/gpt2-medium-dutch-finetuned-text-generation" \ --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": "Pyjay/gpt2-medium-dutch-finetuned-text-generation", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Pyjay/gpt2-medium-dutch-finetuned-text-generation with Docker Model Runner:
docker model run hf.co/Pyjay/gpt2-medium-dutch-finetuned-text-generation
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "special_tokens_map_file": "/root/.cache/huggingface/transformers/eea55dc204333a37c9f45d89c1052c0a9d63e06b9436506032d8242ad5e6df36.78b6ed69c656c44d9052f32c25d283e88026750a6f2b9eda91648840c84ef783", "name_or_path": "GroNLP/gpt2-medium-dutch-embeddings", "tokenizer_class": "GPT2Tokenizer"} |