Instructions to use almuallim/gpt2-idea-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almuallim/gpt2-idea-generation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="almuallim/gpt2-idea-generation")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("almuallim/gpt2-idea-generation") model = AutoModelForCausalLM.from_pretrained("almuallim/gpt2-idea-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use almuallim/gpt2-idea-generation with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "almuallim/gpt2-idea-generation" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "almuallim/gpt2-idea-generation", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/almuallim/gpt2-idea-generation
- SGLang
How to use almuallim/gpt2-idea-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 "almuallim/gpt2-idea-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": "almuallim/gpt2-idea-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 "almuallim/gpt2-idea-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": "almuallim/gpt2-idea-generation", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use almuallim/gpt2-idea-generation with Docker Model Runner:
docker model run hf.co/almuallim/gpt2-idea-generation
Download training_args.bin from almuallim/gpt2-idea-generation: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/almuallim/gpt2-idea-generation/resolve/main/training_args.bin
- Command line
-
hf download hf://almuallim/gpt2-idea-generation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/almuallim/gpt2-idea-generation/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 2b8e813e26bd5dc31d059fdad31d2995b37ab6d2ea6f9f60ae56f8502f4a3d2f
- Size of remote file:
- 3.45 kB
- SHA256:
- 69fc810b3a7f87c851dc7d51f5c3fb3b21487a7d052779635ec244241c7be7a0
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