---
license: mit
library_name: transformers
tags:
- text-generation
- meditation
---

# Fine-Tuned Meditation Text Generation Model

This model is fine-tuned for generating text related to meditation and mindfulness topics. It is compatible with the Hugging Face Transformers library and is optimized for text generation tasks.

## Intended Use

This model is designed to assist users by generating informative or calming text related to meditation, mindfulness, and relaxation practices. It can be used to create content for meditation guides, descriptions, or other wellness-oriented resources.

## Example Usage with Hugging Face Transformers

To use this model for text generation, you can load it directly with the Hugging Face `pipeline` and generate responses based on prompts related to meditation and mindfulness.

### Code Example

Install the required libraries if you haven’t already:

```bash
pip install transformers torch

from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

# Load the model and tokenizer
model_name = "Phoenix21/fine-tuned-meditation-model"  # Replace with your model path on Hugging Face
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Create a text generation pipeline
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)

# Example prompt
prompt = "Meditation is a powerful tool for managing stress because"
output = generator(prompt, max_length=100, do_sample=True, temperature=0.7)

# Print generated text
print(output[0]["generated_text"])