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Metin
/
gemma-2b-tr-inst

Text Generation
Transformers
PyTorch
Turkish
gemma
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Metin/gemma-2b-tr-inst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Metin/gemma-2b-tr-inst with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Metin/gemma-2b-tr-inst")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Metin/gemma-2b-tr-inst")
    model = AutoModelForCausalLM.from_pretrained("Metin/gemma-2b-tr-inst")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use Metin/gemma-2b-tr-inst with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Metin/gemma-2b-tr-inst"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Metin/gemma-2b-tr-inst",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Metin/gemma-2b-tr-inst
  • SGLang

    How to use Metin/gemma-2b-tr-inst 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 "Metin/gemma-2b-tr-inst" \
        --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": "Metin/gemma-2b-tr-inst",
    		"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 "Metin/gemma-2b-tr-inst" \
            --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": "Metin/gemma-2b-tr-inst",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Metin/gemma-2b-tr-inst with Docker Model Runner:

    docker model run hf.co/Metin/gemma-2b-tr-inst
gemma-2b-tr-inst
5.03 GB
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  • 1 contributor
History: 5 commits
Metin's picture
Metin
Update README.md
066c126 verified about 2 years ago
  • .gitattributes
    1.57 kB
    Initial commit about 2 years ago
  • README.md
    2.1 kB
    Update README.md about 2 years ago
  • config.json
    694 Bytes
    Initial commit about 2 years ago
  • generation_config.json
    158 Bytes
    Initial commit about 2 years ago
  • pytorch_model-00001-of-00002.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.BFloat16Storage"

    What is a pickle import?

    4.95 GB
    xet
    Initial commit about 2 years ago
  • pytorch_model-00002-of-00002.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.BFloat16Storage"

    What is a pickle import?

    67.1 MB
    xet
    Initial commit about 2 years ago
  • pytorch_model.bin.index.json
    13.5 kB
    Initial commit about 2 years ago
  • special_tokens_map.json
    555 Bytes
    Initial commit about 2 years ago
  • tokenizer.json
    17.5 MB
    xet
    Initial commit about 2 years ago
  • tokenizer.model
    4.24 MB
    xet
    Initial commit about 2 years ago
  • tokenizer_config.json
    1.11 kB
    Initial commit about 2 years ago