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fernandotonon
/
QtMeshEditor-models

Image-to-3D
ONNX
GGUF
pbr
texture
normal-map
3d
rigging
qtmesheditor
qtmesh
qtmesh-cloud
conversational
Model card Files Files and versions
xet
Community

Instructions to use fernandotonon/QtMeshEditor-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use fernandotonon/QtMeshEditor-models with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf fernandotonon/QtMeshEditor-models:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf fernandotonon/QtMeshEditor-models:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf fernandotonon/QtMeshEditor-models:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf fernandotonon/QtMeshEditor-models:Q8_0
    Use pre-built binary
    # Download pre-built binary from:
    # https://github.com/ggerganov/llama.cpp/releases
    # Start a local OpenAI-compatible server with a web UI:
    ./llama-server -hf fernandotonon/QtMeshEditor-models:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf fernandotonon/QtMeshEditor-models:Q8_0
    Build from source code
    git clone https://github.com/ggerganov/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-server llama-cli
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama-server -hf fernandotonon/QtMeshEditor-models:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf fernandotonon/QtMeshEditor-models:Q8_0
    Use Docker
    docker model run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use fernandotonon/QtMeshEditor-models with Ollama:

    ollama run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
  • Unsloth Studio

    How to use fernandotonon/QtMeshEditor-models with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for fernandotonon/QtMeshEditor-models to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for fernandotonon/QtMeshEditor-models to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for fernandotonon/QtMeshEditor-models to start chatting
  • Atomic Chat new
  • Docker Model Runner

    How to use fernandotonon/QtMeshEditor-models with Docker Model Runner:

    docker model run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
  • Lemonade

    How to use fernandotonon/QtMeshEditor-models with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull fernandotonon/QtMeshEditor-models:Q8_0
    Run and chat with the model
    lemonade run user.QtMeshEditor-models-Q8_0
    List all available models
    lemonade list
QtMeshEditor-models / skintokens
2.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
fernandotonon's picture
fernandotonon
Upload skintokens/skin_decode.onnx with huggingface_hub
51e73a6 verified 21 days ago
  • decoder.onnx
    1.48 MB
    xet
    Upload skintokens/decoder.onnx with huggingface_hub 21 days ago
  • decoder.onnx.data

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.66 GB
    xet
    Upload skintokens/decoder.onnx.data with huggingface_hub 21 days ago
  • embed.onnx
    118 MB
    xet
    Upload skintokens/embed.onnx with huggingface_hub 21 days ago
  • mesh_cond.onnx
    116 MB
    xet
    Upload skintokens/mesh_cond.onnx with huggingface_hub 21 days ago
  • skin_decode.onnx
    314 MB
    xet
    Upload skintokens/skin_decode.onnx with huggingface_hub 21 days ago
  • skintokens.json
    1.41 kB
    Upload skintokens/skintokens.json with huggingface_hub 21 days ago
  • vae_cond.onnx
    87.2 MB
    xet
    Upload skintokens/vae_cond.onnx with huggingface_hub 21 days ago