QuanTarot Model

Overview

QuanTarot is a fine-tuned model designed to provide detailed and interactive tarot card readings. It leverages the google/flan-t5-base model and has been fine-tuned with custom tarot-related prompts and responses. The model supports interpreting card spreads, combining numerology insights, and providing meaningful guidance.

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Features

• Tarot Card Readings: Supports Rider-Waite deck interpretations for various spreads like Celtic Cross, Three-Card, and Six-Pointed Star.
• Numerology Integration: Offers insights by connecting numbers to tarot cards.
• Interactive Responses: Generates elegant, classical responses with a mysterious and insightful tone.

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Usage

Python Example

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# Load the model and tokenizer
model_name = "your-username/quantarot-model"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

# Example prompt
prompt = "What does The Fool card represent in my current situation?"
inputs = tokenizer(prompt, return_tensors="pt", max_length=512, truncation=True)
outputs = model.generate(inputs["input_ids"], max_new_tokens=150)

# Decode and print the result
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)