snowflake.ml.cortex¶

Classes

`CompleteOptions`	Options configuring a snowflake.cortex.Complete call.
`Finetune`([session])	Cortex Fine-Tuning API.
`FinetuneJob`(session, status)	Fine-tuning Job.
`FinetuneStatus`([id, status, base_model, ...])	Fine-tuning job status.

Functions

Note

Functions in this module are also available through “CamelCase” names (for example, ClassifyText is the same as complete_options). These names are deprecated as of snowflake-ml-python version 1.7.3, and will be removed in a future release. Use the “snake_case” names shown here.

`classify_text`(str_input, categories[, session])	Use the LLM inference service to classify the INPUT text into one of the target CATEGORIES.
`complete`(model, prompt, *[, options, ...])	Complete calls into the LLM inference service to perform completion.
`embed_text_1024`(model, text[, session])	Calls into the LLM inference service to embed the text.
`embed_text_768`(model, text[, session])	Calls into the LLM inference service to embed the text.
`extract_answer`(from_text, question[, session])	Calls into the LLM inference service to extract an answer from within specified text.
`sentiment`(text[, session])	Calls into the LLM inference service to perform sentiment analysis on the input text.
`summarize`(text[, session])	Calls into the LLM inference service to summarize the input text.
`translate`(text, from_language, to_language)	Calls into the LLM inference service to perform translation.