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atsuki-yamaguchi
/
bloom-1b1-random-ar

Text Generation
Transformers
Safetensors
Arabic
bloom
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use atsuki-yamaguchi/bloom-1b1-random-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use atsuki-yamaguchi/bloom-1b1-random-ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="atsuki-yamaguchi/bloom-1b1-random-ar")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("atsuki-yamaguchi/bloom-1b1-random-ar")
    model = AutoModelForCausalLM.from_pretrained("atsuki-yamaguchi/bloom-1b1-random-ar", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use atsuki-yamaguchi/bloom-1b1-random-ar with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "atsuki-yamaguchi/bloom-1b1-random-ar"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "atsuki-yamaguchi/bloom-1b1-random-ar",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/atsuki-yamaguchi/bloom-1b1-random-ar
  • SGLang

    How to use atsuki-yamaguchi/bloom-1b1-random-ar 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 "atsuki-yamaguchi/bloom-1b1-random-ar" \
        --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": "atsuki-yamaguchi/bloom-1b1-random-ar",
    		"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 "atsuki-yamaguchi/bloom-1b1-random-ar" \
            --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": "atsuki-yamaguchi/bloom-1b1-random-ar",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use atsuki-yamaguchi/bloom-1b1-random-ar with Docker Model Runner:

    docker model run hf.co/atsuki-yamaguchi/bloom-1b1-random-ar
bloom-1b1-random-ar
4.31 GB
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  • 1 contributor
History: 1 commit
atsuki-yamaguchi's picture
atsuki-yamaguchi
Super-squash branch 'main' using huggingface_hub
253d4c3 verified 8 months ago
  • .gitattributes
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  • README.md
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  • adapter_config.json
    480 Bytes
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  • adapter_model.safetensors
    805 MB
    xet
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  • config.json
    787 Bytes
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  • generation_config.json
    137 Bytes
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  • merges.txt
    1.5 MB
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  • model.safetensors
    3.51 GB
    xet
    Super-squash branch 'main' using huggingface_hub 8 months ago
  • rng_state.pth

    Detected Pickle imports (7)

    • "numpy.ndarray",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "_codecs.encode",
    • "torch.ByteStorage",
    • "numpy.core.multiarray._reconstruct",
    • "numpy.dtype"

    How to fix it?

    14.2 kB
    xet
    Super-squash branch 'main' using huggingface_hub 8 months ago