muthiahsriram/

granite-8b-rag-lora-merged

# granite-8b-rag-lora-merged

This model is a merged version combining a base model with a LoRA adapter.

## Model Description
A merged model combining Granite 3.0 8B with RAG LoRA adapter

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

# Load model and tokenizer
model = AutoModelForCausalLM.from_pretrained("muthiahsriram/granite-8b-rag-lora-merged")
tokenizer = AutoTokenizer.from_pretrained("muthiahsriram/granite-8b-rag-lora-merged")

# Example usage
text = "Your input text here"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
```