---
library_name: transformers
base_model: google/gemma
tags:
- gemma
- bookkeeping
- fine-tuned
---

# gemma-bookkeeper

A Gemma-based model fine-tuned for bookkeeping tasks.

## Files

The model is sharded across four safetensors files:

- `model-00001-of-00004.safetensors`
- `model-00002-of-00004.safetensors`
- `model-00003-of-00004.safetensors`
- `model-00004-of-00004.safetensors`

along with `config.json`, `generation_config.json`, `model.safetensors.index.json`,
tokenizer files, and the chat template.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "jacobhedgi/gemmabookkeeper"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
```