PlayPart AI Personal Trainer Model
This model is a fine-tuned version of GPT-2, specifically trained on sports-related and gym exercise datasets. It is intended to provide text-generation capabilities for answering questions about fitness, sports, workout routines, and providing personalized training suggestions.
Intended Use
- Text Generation: Generate text based on sports and fitness questions and interactions.
- Personal Trainer Chatbot: Suitable for chatbot integrations focused on fitness, workouts, and sports topics.
Usage
To use the model, you can either use the Hugging Face Inference API or load it in your Python environment.
Example (Python)
from transformers import GPT2Tokenizer, GPT2LMHeadModel
# Load the model
tokenizer = GPT2Tokenizer.from_pretrained("Lukamac/PlayPart-AI-Personal-Trainer")
model = GPT2LMHeadModel.from_pretrained("Lukamac/PlayPart-AI-Personal-Trainer")
# Generate a response
input_text = "What are the best exercises for building upper body strength?"
input_ids = tokenizer.encode(input_text, return_tensors='pt')
output_ids = model.generate(input_ids, max_length=50)
response = tokenizer.decode(output_ids[0], skip_special_tokens=True)
print(response)