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Adesh696
/
git-base-flickr8k

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

Instructions to use Adesh696/git-base-flickr8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Adesh696/git-base-flickr8k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="Adesh696/git-base-flickr8k")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("Adesh696/git-base-flickr8k")
    model = AutoModelForImageTextToText.from_pretrained("Adesh696/git-base-flickr8k")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use Adesh696/git-base-flickr8k with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Adesh696/git-base-flickr8k"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Adesh696/git-base-flickr8k",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Adesh696/git-base-flickr8k
  • SGLang

    How to use Adesh696/git-base-flickr8k 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 "Adesh696/git-base-flickr8k" \
        --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": "Adesh696/git-base-flickr8k",
    		"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 "Adesh696/git-base-flickr8k" \
            --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": "Adesh696/git-base-flickr8k",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Adesh696/git-base-flickr8k with Docker Model Runner:

    docker model run hf.co/Adesh696/git-base-flickr8k
git-base-flickr8k
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  • 1 contributor
History: 56 commits
Adesh696's picture
Adesh696
Upload tokenizer.json
4602054 verified over 2 years ago
  • runs
    Training in progress, epoch 30 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.15 kB
    End of training over 2 years ago
  • config.json
    859 Bytes
    Training in progress, epoch 1 over 2 years ago
  • generation_config.json
    136 Bytes
    End of training over 2 years ago
  • model.safetensors
    707 MB
    xet
    Training in progress, epoch 30 over 2 years ago
  • preprocessor_config.json
    503 Bytes
    Create preprocessor_config.json over 2 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer.json over 2 years ago
  • tokenizer_config.json
    452 Bytes
    Create tokenizer_config.json over 2 years ago
  • training_args.bin

    Detected Pickle imports (8)

    • "accelerate.state.PartialState",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.SchedulerType",
    • "torch.device",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.TrainingArguments"

    How to fix it?

    4.16 kB
    xet
    Training in progress, epoch 1 over 2 years ago