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voidful
/
context-only-question-generator

Text Generation
Transformers
PyTorch
Safetensors
English
bart
text2text-generation
question
generation
seq2seq
Model card Files Files and versions
xet
Community
2

Instructions to use voidful/context-only-question-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voidful/context-only-question-generator with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="voidful/context-only-question-generator")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("voidful/context-only-question-generator")
    model = AutoModelForSeq2SeqLM.from_pretrained("voidful/context-only-question-generator")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use voidful/context-only-question-generator with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "voidful/context-only-question-generator"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "voidful/context-only-question-generator",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/voidful/context-only-question-generator
  • SGLang

    How to use voidful/context-only-question-generator 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 "voidful/context-only-question-generator" \
        --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": "voidful/context-only-question-generator",
    		"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 "voidful/context-only-question-generator" \
            --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": "voidful/context-only-question-generator",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use voidful/context-only-question-generator with Docker Model Runner:

    docker model run hf.co/voidful/context-only-question-generator
context-only-question-generator
1.43 GB
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  • 2 contributors
History: 4 commits
voidful's picture
voidful
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
55f2c09 about 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    1.13 kB
    Create README.md over 4 years ago
  • config.json
    1.74 kB
    init commit over 4 years ago
  • merges.txt
    456 kB
    init commit over 4 years ago
  • model.safetensors
    712 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    712 MB
    xet
    init commit over 4 years ago
  • special_tokens_map.json
    239 Bytes
    init commit over 4 years ago
  • tokenizer.json
    1.36 MB
    init commit over 4 years ago
  • tokenizer_config.json
    331 Bytes
    init commit over 4 years ago
  • vocab.json
    798 kB
    init commit over 4 years ago