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ryefoxlime
/
TADBot

Text Generation
Transformers
Safetensors
English
therapy
chat-bot
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use ryefoxlime/TADBot with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="ryefoxlime/TADBot")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ryefoxlime/TADBot", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use ryefoxlime/TADBot with vLLM:

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

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

    How to use ryefoxlime/TADBot with Docker Model Runner:

    docker model run hf.co/ryefoxlime/TADBot
TADBot
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  • 2 contributors
History: 29 commits
TheDunkinNinja's picture
TheDunkinNinja
Upload TAD.py
2ebbddd verified over 1 year ago
  • FER
    updated the python project version over 1 year ago
  • Gemma2_2B
    Updated Readme with information about TTS and SST over 1 year ago
  • .gitattributes
    1.57 kB
    Updated Readme with information about TTS and SST over 1 year ago
  • .gitignore
    188 Bytes
    Updated Readme with information about TTS and SST over 1 year ago
  • .python-version
    5 Bytes
    updated the python project version over 1 year ago
  • README.md
    7.67 kB
    Update README.md over 1 year ago
  • TAD.py
    3.44 kB
    Upload TAD.py over 1 year ago
  • camera.py
    225 Bytes
    FER Working on RPi with ~30sec predict time over 1 year ago
  • cuda_test.py
    144 Bytes
    updated readme and required libs over 1 year ago
  • pyproject.toml
    1.28 kB
    Fine tuned model over 1 year ago
  • requirements.in
    2.43 kB
    updated the python project version over 1 year ago
  • requirements.txt
    8.16 kB
    added basic files and updated env over 1 year ago
  • uv.lock
    441 kB
    Fine tuned model over 1 year ago