Model
co model
Section titled “co model”View and experiment with models.
Options
-h, --help help for modelco model classify
Section titled “co model classify”Build a classifier using a few labeled examples, and classify a set of input texts.
co model classify [model_name] [texts...] [options...] [flags]Options
-h, --help help for classify
--examples a list of examples texts and their labels
-t, --taskDescription A string describing the classification task overall
-o, --outputIndicator A string describing the output indicator portion of a promptco model embed
Section titled “co model embed”Get embeddings from a model.
co model embed [model_name] [texts...] [flags]Options
-h, --help help for embedco model generate
Section titled “co model generate”Generate from a model.
co model generate [model_name] [prompt] [flags]Options
--frequency-penalty float32 frequency penalty
-h, --help help for generate
-k, --k int k value
-t, --max-tokens int number of tokens to return (default 30)
-p, --p float32 p value
--presence-penalty float32 presence penalty
--return-likelihoods string return likelihoods
--stop-sequences string stop sequences
--temperature float32 temperature of request (default 1)co model list
Section titled “co model list”List names of available models.
co model list [flags]Options
-h, --help help for list