| Name | Type | Description | Notes |
|---|---|---|---|
| embeddings | Embeddings200ResponseEmbeddings | ||
| model | str | Model used to generate embeddings | |
| dimension | int | Dimensionality of each embedding vector | |
| usage | Embeddings200ResponseUsage |
from quantcdn.models.embeddings200_response import Embeddings200Response
# TODO update the JSON string below
json = "{}"
# create an instance of Embeddings200Response from a JSON string
embeddings200_response_instance = Embeddings200Response.from_json(json)
# print the JSON string representation of the object
print(Embeddings200Response.to_json())
# convert the object into a dict
embeddings200_response_dict = embeddings200_response_instance.to_dict()
# create an instance of Embeddings200Response from a dict
embeddings200_response_from_dict = Embeddings200Response.from_dict(embeddings200_response_dict)