Model Card for Woody.AI

A specialized golf coaching assistant fine-tuned to provide personalized tips, drills, and mindset advice to help amateur golfers improve their swing and overall game.

Model Details

Model Description

Woody.AI is a fine-tuned language model designed to act as a virtual golf coach. It provides specific, actionable advice on all aspects of golf improvement including swing mechanics, mental game, equipment selection, practice routines, and on-course strategy.

• Developed by: Brodie (eidorb90)
• Model type: Fine-tuned large language model
• Language(s): English
• License: [Your chosen license]
• Finetuned from model: unsloth/mistral-7b-bnb-4bit

Model Sources

• Repository: https://huggingface.co/eidorb90/Woody.AI

Uses

Direct Use

Woody.AI is designed to be used as an interactive golf coach that can:

• Analyze common swing problems and provide specific fixes
• Suggest appropriate practice drills for different skill levels
• Help with mental game and course management strategies
• Provide equipment recommendations and fitting advice
• Guide players on specific shots and techniques

This model is best suited for beginning to intermediate players looking to improve their golf skills without the immediate need for in-person coaching.

Out-of-Scope Use

This model is not designed to:

• Replace professional in-person golf instruction, especially for advanced players
• Provide real-time swing analysis from video (lacks visual input capabilities)
• Give medical advice for golf-related injuries
• Guarantee score improvements without dedicated practice

Bias, Risks, and Limitations

• The model provides general golf advice that may need to be adapted to individual physical capabilities and swing characteristics
• Advice is based on common golf teaching principles which may not align with all teaching methodologies
• No visual assessment capabilities means the model cannot analyze actual swing mechanics
• May have limitations in addressing highly specialized or unique golf situations

Recommendations

Users should:

• Use the model's advice as a supplement to, not replacement for, professional instruction
• Adapt recommendations to their own physical capabilities and existing swing
• Practice recommended drills appropriately and safely
• Consider consulting a PGA professional for personalized coaching

How to Get Started with the Model

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

# Load the base model with correct dtype
base_model = AutoModelForCausalLM.from_pretrained(
    "unsloth/mistral-7b-bnb-4bit",
    torch_dtype=torch.float16,
    device_map="auto"
)

# Load your fine-tuned adapter
model = PeftModel.from_pretrained(base_model, "eidorb90/Woody.AI")

# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained("unsloth/mistral-7b-bnb-4bit")

# Set the model to evaluation mode
model.eval()

# Example of generating text
def generate_text(prompt, max_length=500):
    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
    outputs = model.generate(
        **inputs,
        max_length=max_length,
        temperature=0.7,
        top_p=0.9,
        num_return_sequences=1
    )
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# Example usage
prompt = "I'm struggling with slicing my driver. What can I do to fix this?"
response = generate_text(prompt)
print(response)