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MaziyarPanahi
/
Experiment28M7_Experiment26Shadow

Text Generation
Transformers
Safetensors
mistral
Safetensors
text-generation-inference
Merge
Model card Files Files and versions
xet
Community
1

Instructions to use MaziyarPanahi/Experiment28M7_Experiment26Shadow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MaziyarPanahi/Experiment28M7_Experiment26Shadow with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="MaziyarPanahi/Experiment28M7_Experiment26Shadow")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Experiment28M7_Experiment26Shadow")
    model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Experiment28M7_Experiment26Shadow", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use MaziyarPanahi/Experiment28M7_Experiment26Shadow with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "MaziyarPanahi/Experiment28M7_Experiment26Shadow"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "MaziyarPanahi/Experiment28M7_Experiment26Shadow",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/MaziyarPanahi/Experiment28M7_Experiment26Shadow
  • SGLang

    How to use MaziyarPanahi/Experiment28M7_Experiment26Shadow 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 "MaziyarPanahi/Experiment28M7_Experiment26Shadow" \
        --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": "MaziyarPanahi/Experiment28M7_Experiment26Shadow",
    		"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 "MaziyarPanahi/Experiment28M7_Experiment26Shadow" \
            --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": "MaziyarPanahi/Experiment28M7_Experiment26Shadow",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use MaziyarPanahi/Experiment28M7_Experiment26Shadow with Docker Model Runner:

    docker model run hf.co/MaziyarPanahi/Experiment28M7_Experiment26Shadow
Experiment28M7_Experiment26Shadow
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  • 1 contributor
History: 4 commits
MaziyarPanahi's picture
MaziyarPanahi
38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d
30aea97 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.28 kB
    38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d over 2 years ago
  • config.json
    645 Bytes
    38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d over 2 years ago
  • mergekit_config.yml
    416 Bytes
    38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d over 2 years ago
  • model-00001-of-00002.safetensors
    9.83 GB
    xet
    6fbe82995092f57c29a82fe232d890157ced70662366b0b18b79401dfba3652c over 2 years ago
  • model-00002-of-00002.safetensors
    4.66 GB
    xet
    bf6414b69b37463a91159525cad42d3cf685c4aec0622e74aa271ea14c48fca3 over 2 years ago
  • model.safetensors.index.json
    22.8 kB
    38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d over 2 years ago
  • special_tokens_map.json
    552 Bytes
    38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d over 2 years ago
  • tokenizer.json
    1.8 MB
    38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d over 2 years ago
  • tokenizer.model
    493 kB
    xet
    38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d over 2 years ago
  • tokenizer_config.json
    971 Bytes
    38229078b36765cd1a4e388b61b2031f8edb4c2480c7fef111f34a24dc21df5d over 2 years ago