Text Generation
Transformers
PyTorch
TensorBoard
gpt2
Generated from Trainer
text-generation-inference
Instructions to use dimzhead/gpt2-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dimzhead/gpt2-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dimzhead/gpt2-test")# Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("dimzhead/gpt2-test") model = AutoModelWithLMHead.from_pretrained("dimzhead/gpt2-test") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use dimzhead/gpt2-test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dimzhead/gpt2-test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dimzhead/gpt2-test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dimzhead/gpt2-test
- SGLang
How to use dimzhead/gpt2-test 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 "dimzhead/gpt2-test" \ --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": "dimzhead/gpt2-test", "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 "dimzhead/gpt2-test" \ --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": "dimzhead/gpt2-test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dimzhead/gpt2-test with Docker Model Runner:
docker model run hf.co/dimzhead/gpt2-test
- Xet hash:
- c9fb771d9f3670495fefed3240a0756c0982dd9b92ea08a1237d0147a512e0fb
- Size of remote file:
- 5.01 MB
- SHA256:
- 6af344238baf0025d0df2f1bc62a10ea2fe6fe3ade230566eac4292b7ab7acae
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