text: EndpointSearxNG Search APISerpAPIShale ProtocolSingleStoreDBscikit-learnSlackspaCySpreedlyStarRocksStochasticAIStripeTairTelegramTigris2MarkdownTrelloTruLensTwitterTypesenseUnstructuredVectaraVespaWeights & BiasesWeatherWeaviateWhatsAppWhyLabsWikipediaWolfram AlphaWriterYeager.aiYouTubeZepZillizIntegrationsGrouped by providerPredibaseOn this pagePredibaseLearn how to use LangChain with models on Predibase. Setupâ€‹Create a Predibase account and API key.Install the Predibase Python client with pip install predibaseUse your API key to authenticateLLMâ€‹Predibase integrates with LangChain by implementing LLM module. You can see a short example below or a full notebook under LLM > Integrations > Predibase. import osos.environ["PREDIBASE_API_TOKEN"] = "{PREDIBASE_API_TOKEN}"from langchain.llms import Predibasemodel =  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)Previouslogging_tracing_portkeyNextPrediction GuardSetupLLMCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.