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Jayfeather1024
/
sft

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

Instructions to use Jayfeather1024/sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jayfeather1024/sft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Jayfeather1024/sft")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Jayfeather1024/sft")
    model = AutoModelForCausalLM.from_pretrained("Jayfeather1024/sft")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use Jayfeather1024/sft with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Jayfeather1024/sft"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Jayfeather1024/sft",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Jayfeather1024/sft
  • SGLang

    How to use Jayfeather1024/sft 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 "Jayfeather1024/sft" \
        --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": "Jayfeather1024/sft",
    		"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 "Jayfeather1024/sft" \
            --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": "Jayfeather1024/sft",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Jayfeather1024/sft with Docker Model Runner:

    docker model run hf.co/Jayfeather1024/sft
sft
27 GB
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  • 1 contributor
History: 2 commits
Jayfeather1024's picture
Jayfeather1024
update
3022639 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    25 Bytes
    initial commit about 2 years ago
  • added_tokens.json
    21 Bytes
    update about 2 years ago
  • arguments.json
    1.41 kB
    update about 2 years ago
  • arguments.pkl

    Detected Pickle imports (3)

    • "argparse.Namespace",
    • "torch.device",
    • "transformers.trainer_utils.SchedulerType"

    How to fix it?

    1.02 kB
    xet
    update about 2 years ago
  • config.json
    655 Bytes
    update about 2 years ago
  • environ.txt
    12.6 kB
    update about 2 years ago
  • latest
    14 Bytes
    update about 2 years ago
  • pytorch_model.bin
    27 GB
    xet
    update about 2 years ago
  • script.sh
    2.87 kB
    update about 2 years ago
  • special_tokens_map.json
    435 Bytes
    update about 2 years ago
  • stderr.log
    1.93 MB
    update about 2 years ago
  • stdout.log
    4.08 kB
    update about 2 years ago
  • tokenizer.model
    500 kB
    xet
    update about 2 years ago
  • tokenizer_config.json
    744 Bytes
    update about 2 years ago
  • zero_to_fp32.py
    24.2 kB
    update about 2 years ago