Instructions to use 4ervonec19/SimpleTestGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4ervonec19/SimpleTestGenerator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="4ervonec19/SimpleTestGenerator")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("4ervonec19/SimpleTestGenerator") model = AutoModelForMultimodalLM.from_pretrained("4ervonec19/SimpleTestGenerator") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 4ervonec19/SimpleTestGenerator with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "4ervonec19/SimpleTestGenerator" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "4ervonec19/SimpleTestGenerator", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/4ervonec19/SimpleTestGenerator
- SGLang
How to use 4ervonec19/SimpleTestGenerator 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 "4ervonec19/SimpleTestGenerator" \ --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": "4ervonec19/SimpleTestGenerator", "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 "4ervonec19/SimpleTestGenerator" \ --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": "4ervonec19/SimpleTestGenerator", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use 4ervonec19/SimpleTestGenerator with Docker Model Runner:
docker model run hf.co/4ervonec19/SimpleTestGenerator
File size: 2,641 Bytes
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"content": "<INFO_TOKEN>",
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"49160": {
"content": "<CLS_TOKEN>",
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],
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"errors": "replace",
"model_max_length": 2048,
"pad_token": "<PAD>",
"padding_side": "left",
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|endoftext|>"
}
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