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timo13113
/
calc-gpt-2

Text Generation
Transformers
TensorBoard
Safetensors
gpt2
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use timo13113/calc-gpt-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use timo13113/calc-gpt-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="timo13113/calc-gpt-2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("timo13113/calc-gpt-2")
    model = AutoModelForCausalLM.from_pretrained("timo13113/calc-gpt-2")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use timo13113/calc-gpt-2 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "timo13113/calc-gpt-2"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "timo13113/calc-gpt-2",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/timo13113/calc-gpt-2
  • SGLang

    How to use timo13113/calc-gpt-2 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 "timo13113/calc-gpt-2" \
        --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": "timo13113/calc-gpt-2",
    		"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 "timo13113/calc-gpt-2" \
            --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": "timo13113/calc-gpt-2",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use timo13113/calc-gpt-2 with Docker Model Runner:

    docker model run hf.co/timo13113/calc-gpt-2
calc-gpt-2
89.1 MB
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  • 1 contributor
History: 601 commits
timo13113's picture
timo13113
Update README.md
d5f4c4c verified about 2 years ago
  • runs
    Training in progress, step 8700 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    413 Bytes
    Update README.md about 2 years ago
  • config.json
    894 Bytes
    Training in progress, step 300 about 2 years ago
  • model.safetensors
    88.3 MB
    xet
    Training in progress, step 8700 about 2 years ago
  • special_tokens_map.json
    99 Bytes
    Training in progress, step 100 about 2 years ago
  • tokenizer.json
    1.11 kB
    Training in progress, step 100 about 2 years ago
  • tokenizer_config.json
    449 Bytes
    Training in progress, step 100 about 2 years ago
  • training_args.bin

    Detected Pickle imports (8)

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

    How to fix it?

    4.54 kB
    xet
    Training in progress, step 300 about 2 years ago