Text Generation
Transformers
PyTorch
TensorFlow
JAX
Rust
ONNX
Safetensors
English
gpt2
text-generation-inference
Instructions to use openai-community/gpt2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai-community/gpt2-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="openai-community/gpt2-medium")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2-medium") model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2-medium") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use openai-community/gpt2-medium with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "openai-community/gpt2-medium" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "openai-community/gpt2-medium", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/openai-community/gpt2-medium
- SGLang
How to use openai-community/gpt2-medium 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 "openai-community/gpt2-medium" \ --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": "openai-community/gpt2-medium", "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 "openai-community/gpt2-medium" \ --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": "openai-community/gpt2-medium", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use openai-community/gpt2-medium with Docker Model Runner:
docker model run hf.co/openai-community/gpt2-medium
Add Core ML conversion
#11
by Harissam - opened
coreml/text-generation/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel
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coreml/text-generation/float32_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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oid sha256:8c4de82799a4c0c7801af172e85adf3580fa104f9ed399bc50cc7de754c2ea45
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size 1416891140
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coreml/text-generation/float32_model.mlpackage/Manifest.json
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{
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"fileFormatVersion": "1.0.0",
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"itemInfoEntries": {
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"5A483B09-08D6-458C-B9B0-2867E47672EB": {
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"author": "com.apple.CoreML",
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"description": "CoreML Model Weights",
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"name": "weights",
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"path": "com.apple.CoreML/weights"
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},
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"FCB106B2-2F91-49B4-BF63-B253B98E2BEB": {
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"author": "com.apple.CoreML",
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"description": "CoreML Model Specification",
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"name": "model.mlmodel",
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"path": "com.apple.CoreML/model.mlmodel"
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}
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},
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"rootModelIdentifier": "FCB106B2-2F91-49B4-BF63-B253B98E2BEB"
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}
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