Text Generation
Transformers
PyTorch
TensorFlow
gpt2
generated_from_keras_callback
text-generation-inference
Instructions to use Yorth/gpt2_medium_poetry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yorth/gpt2_medium_poetry with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Yorth/gpt2_medium_poetry")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Yorth/gpt2_medium_poetry") model = AutoModelForCausalLM.from_pretrained("Yorth/gpt2_medium_poetry") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Yorth/gpt2_medium_poetry with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Yorth/gpt2_medium_poetry" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Yorth/gpt2_medium_poetry", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Yorth/gpt2_medium_poetry
- SGLang
How to use Yorth/gpt2_medium_poetry 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 "Yorth/gpt2_medium_poetry" \ --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": "Yorth/gpt2_medium_poetry", "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 "Yorth/gpt2_medium_poetry" \ --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": "Yorth/gpt2_medium_poetry", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Yorth/gpt2_medium_poetry with Docker Model Runner:
docker model run hf.co/Yorth/gpt2_medium_poetry
gpt2_medium_poetry
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.29.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3
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