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25 lines
756 B
Markdown
25 lines
756 B
Markdown
# Predibase
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Learn how to use LangChain with models on Predibase.
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## Setup
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- Create a [Predibase](https://predibase.com/) account and [API key](https://docs.predibase.com/sdk-guide/intro).
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- Install the Predibase Python client with `pip install predibase`
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- Use your API key to authenticate
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### LLM
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Predibase integrates with LangChain by implementing LLM module. You can see a short example below or a full notebook under LLM > Integrations > Predibase.
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```python
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import os
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os.environ["PREDIBASE_API_TOKEN"] = "{PREDIBASE_API_TOKEN}"
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from langchain.llms import Predibase
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model = Predibase(model = 'vicuna-13b', predibase_api_key=os.environ.get('PREDIBASE_API_TOKEN'))
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response = model("Can you recommend me a nice dry wine?")
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print(response)
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```
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