---
library_name: transformers
tags:
- transformers
- text-generation
- conversational
license: apache-2.0
datasets:
- marmikpandya/mental-health
---

# Model Name: Gemma-2-2B-IT

This is a fine-tuned model based on `Gemma-2-2B-IT`, optimized for text generation tasks. It is compatible with Hugging Face's `transformers` library.

## Fine-Tuning Details
- Dataset: Mental Health / Therapist Dataset
- Method: LoRA for low-resource adaptation

## Usage Example
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("YourModelRepoName")
tokenizer = AutoTokenizer.from_pretrained("YourModelRepoName")

input_text = "What is the meaning of life?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0]))