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lasenku
/
git-base-pokemon

Image-Text-to-Text
Transformers
TensorBoard
Safetensors
git
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use lasenku/git-base-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lasenku/git-base-pokemon with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="lasenku/git-base-pokemon")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("lasenku/git-base-pokemon")
    model = AutoModelForImageTextToText.from_pretrained("lasenku/git-base-pokemon")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use lasenku/git-base-pokemon with vLLM:

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

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

    How to use lasenku/git-base-pokemon with Docker Model Runner:

    docker model run hf.co/lasenku/git-base-pokemon
git-base-pokemon / runs
137 kB
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  • 1 contributor
History: 89 commits
lasenku's picture
lasenku
Training in progress, step 1100
a25e5fc verified about 2 years ago
  • Mar02_08-55-43_5cd97be43476
    Training in progress, step 50 about 2 years ago
  • Mar02_08-56-49_5cd97be43476
    Training in progress, step 50 about 2 years ago
  • Mar02_08-58-08_5cd97be43476
    Training in progress, step 50 about 2 years ago
  • Mar02_08-58-50_5cd97be43476
    Training in progress, step 50 about 2 years ago
  • Mar02_09-00-20_5cd97be43476
    Training in progress, step 1150 about 2 years ago
  • Mar02_09-28-15_ecb09efefd4c
    Training in progress, step 50 about 2 years ago
  • Mar02_09-29-15_ecb09efefd4c
    Training in progress, step 50 about 2 years ago
  • Mar02_09-30-02_ecb09efefd4c
    Training in progress, step 700 about 2 years ago
  • Mar02_10-56-58_72b852d4f464
    Training in progress, step 650 about 2 years ago
  • Mar02_12-17-16_a422b1be0a3f
    Training in progress, step 600 about 2 years ago
  • Mar02_14-28-05_9b5d22d69a2c
    Training in progress, step 1150 about 2 years ago
  • Mar30_16-09-27_49a10369b02b
    Training in progress, step 1100 about 2 years ago