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shivanandh033
/
wedding-planner-7b

Reinforcement Learning
English
openenv
grpo
unsloth
qwen2.5
indian-wedding
wedding-planning
curriculum-learning
long-horizon-planning
Model card Files Files and versions
xet
Community

Instructions to use shivanandh033/wedding-planner-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Local Apps
  • Unsloth Studio new

    How to use shivanandh033/wedding-planner-7b 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 shivanandh033/wedding-planner-7b 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 shivanandh033/wedding-planner-7b to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for shivanandh033/wedding-planner-7b to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="shivanandh033/wedding-planner-7b",
        max_seq_length=2048,
    )
wedding-planner-7b
Ctrl+K
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  • 1 contributor
History: 16 commits
shivanandh033's picture
shivanandh033
Move reward curve image to middle (Evaluation Results section)
dd08a4c about 1 month ago
  • assets
    fine about 1 month ago
  • client
    initial wedding planner env about 1 month ago
  • tests
    initial wedding planner env about 1 month ago
  • wedding_env
    fine about 1 month ago
  • .gitignore
    152 Bytes
    Backup code before account switch about 1 month ago
  • Dockerfile
    197 Bytes
    initial wedding planner env about 1 month ago
  • README.md
    6.75 kB
    Move reward curve image to middle (Evaluation Results section) about 1 month ago
  • app.py
    594 Bytes
    initial wedding planner env about 1 month ago
  • gradio_demo.py
    3.82 kB
    fine about 1 month ago
  • openenv.yaml
    162 Bytes
    initial wedding planner env about 1 month ago
  • plot_reward.py
    846 Bytes
    fine about 1 month ago
  • requirements.txt
    70 Bytes
    initial wedding planner env about 1 month ago
  • train.py
    3.41 kB
    fine about 1 month ago
  • train_colab.ipynb
    12.4 kB
    Final hackathon submission: full README + Colab training notebook about 1 month ago