---
library_name: transformers
tags: []
---

# DiTy/gemma-2-9b-it-function-calling

This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) for the **Function Calling** task on non-synthetic data, 
fully annotated by humans only, on the English version of the <ins>*DiTy/function-calling*</ins> dataset.
<!-- Provide a quick summary of what the model is/does. -->
--
---
## Model card tree

* [How prepare your functions (tools) for *Function Calling*](#prepare_func_call)





## Usage (HuggingFace Transformers)

Below we share some code snippets on how to get quickly started with running the model. First, install the Transformers library with:
```bash
pip install -U transformers
```

### <a name="prepare_func_call"></a>Prepare your functions for *Function Calling*

You should write the functions (tools) used by the model in *Python code* and make sure to add *Python docstrings* as in the example below:
```python
def get_weather(city: str):
    """
    A function that returns the weather in a given city.
    
    Args:
        city: The city to get the weather for.
    """
    import random
    
    return "sunny" if random.random() > 0.5 else "rainy"


def get_sunrise_sunset_times(city: str):
    """
    A function that returns the time of sunrise and sunset at the present moment, for a given city, in the form of a list: [sunrise_time, sunset_time].
    
    Args:
        city: The city to get the sunrise and sunset times for.
    """
    
    return ["6:00 AM", "6:00 PM"]
```

### Using transformers

```python

```





### Model Description

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## How to Get Started with the Model

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