*[pgml.tune()](introduction/apis/sql-extensions/pgml.tune.md)

*[Client SDKs](introduction/apis/client-sdks/README.md)

*[Overview](introduction/apis/client-sdks/getting-started.md)

*[OpenSourceAI](introduction/apis/client-sdks/opensourceai.md)

*[Collections](introduction/apis/client-sdks/collections.md)

*[Pipelines](introduction/apis/client-sdks/pipelines.md)

*[Search](introduction/apis/client-sdks/search.md)

*[OpenSourceAI](use-cases/opensourceai.md)

*[Chatbots](use-cases/chatbots.md)

*[Search](use-cases/improve-search-results-with-machine-learning.md)

*[Embeddings](use-cases/embeddings/README.md)

Follow the instillation section in[getting-started.md](getting-started.md"mention")

Follow the instillation section in[getting-started.md](../introduction/apis/client-sdks/getting-started.md"mention")

When done, set the environment variable`DATABASE_URL` to your PostgresML database url.

{% endtab %}

{% endtabs %}

Notice that we don't specify a model name, but model JSON this time. The JSON keys in the model argument roughly follow the task argument when using our[text-generation SQL API](../sql-extensions/pgml.transform/text-generation.md).

Notice that we don't specify a model name, but model JSON this time. The JSON keys in the model argument roughly follow the task argument when using our[text-generation SQL API](../introduction/apis/sql-extensions/pgml.transform/text-generation.md).

To access a gated repo like`meta-llama/Llama-2-7b-chat-hf` simply provide the necessary hugging face token.