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yanexr /embedding-gemma-2:b3b0100d

Input schema

The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field Type Default value Description
text
None
Text to embed, or a list of texts. Each text gets its own embedding, unless combine is on.
images
array
[]
Images to embed. Each image gets its own embedding, unless combine is on.
videos
array
[]
Videos to embed. Each video gets its own embedding, unless combine is on. Only the picture is used, see include_video_audio for the sound.
audio
array
[]
Audio files to embed. Each file gets its own embedding, unless combine is on. Video files work too, then only their sound is used.
task
None
document
What the embeddings are for. Embed stored items with document and queries with search_query. For classification, clustering or similarity, use that task for all inputs. The README lists all options.
combine
boolean
False
Create one embedding for all inputs together instead of one per input. Use it for things that belong together, like a product photo and its description. Write <|image|>, <|video|> or <|audio|> in the text to place files at that spot.
dimensions
None
768
Length of the embeddings. Shorter ones need less storage at a small cost in quality. Use the same value for queries and stored items.
include_video_audio
boolean
False
Advanced. Add the sound of each video to that video's embedding.
image_tokens
None
280
Advanced. Detail per image. Higher captures more detail but is slower.
video_frame_tokens
None
140
Advanced. Detail per video frame. Higher captures more detail but is slower and fits fewer frames.
video_fps
number
1

Min: 0.1

Max: 10

Advanced. Frames taken per second of video.
max_video_frames
integer
32

Min: 1

Max: 113

Advanced. Most frames taken from one video. Longer videos are sampled evenly over their full length.

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'title': 'Output', 'type': 'object'}