langchain/docs/extras/integrations/providers/predibase.md

# Predibase

Learn how to use LangChain with models on Predibase. 

## Setup
- Create a [Predibase](hhttps://predibase.com/) account and [API key](https://docs.predibase.com/sdk-guide/intro).
- Install the Predibase Python client with `pip install predibase`
- Use your API key to authenticate

### LLM

Predibase integrates with LangChain by implementing LLM module. You can see a short example below or a full notebook under LLM > Integrations > Predibase. 

```python
import os
os.environ["PREDIBASE_API_TOKEN"] = "{PREDIBASE_API_TOKEN}"

from langchain.llms import Predibase

model =  Predibase(model = 'vicuna-13b', predibase_api_key=os.environ.get('PREDIBASE_API_TOKEN'))

response = model("Can you recommend me a nice dry wine?")
print(response)
```