Instructions to use DrNicefellow/gpt2-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DrNicefellow/gpt2-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DrNicefellow/gpt2-final")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DrNicefellow/gpt2-final") model = AutoModelForCausalLM.from_pretrained("DrNicefellow/gpt2-final") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use DrNicefellow/gpt2-final with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DrNicefellow/gpt2-final" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DrNicefellow/gpt2-final", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/DrNicefellow/gpt2-final
- SGLang
How to use DrNicefellow/gpt2-final 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 "DrNicefellow/gpt2-final" \ --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": "DrNicefellow/gpt2-final", "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 "DrNicefellow/gpt2-final" \ --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": "DrNicefellow/gpt2-final", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use DrNicefellow/gpt2-final with Docker Model Runner:
docker model run hf.co/DrNicefellow/gpt2-final
Self trained GPT-2 tiny. Around 110M parameters.
The tokenizer is the one from https://huggingface.co/openai-community/gpt2.
It is trained on around 40B tokens.
The evaluation is being conducted now.
License
This model is available under the Apache 2.0 License. Well, also MIT License. So both should be followed.
Discord Server
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