Cohere Embed Multilingual Image 3
The cohere.embed-multilingual-image-v3.0 is a multimodal model that can create text embeddings either from text inputs or from an image. Image input isn't available in the Console and you must use the API. For API, input a base64 encoded image in each run. For example, a 512 x 512 image is converted to about 1,610 tokens.
Regions for this Model
For supported regions, endpoint types (on-demand or dedicated AI clusters), and hosting (OCI Generative AI or external calls) for this model, see the Models by Region page. For details about the regions, see the Generative AI Regions page.
Access this Model
The API endpoints for all supported commercial, sovereign, and government regions are listed in the Management API and Inference API links. You can access each model only through its supported regions.
Key Features
- Input text or image, but not both.
- To get embeddings for an image, only one image is allowed. You can't combine text and image for the same embedding. Image input through API only.
- English or multilingual.
- Model creates a 1,024-dimensional vector for each embedding.
- Maximum 128,000 tokens per embedding.
- For API, input a
base64encoded image in each run. For example, a 512 x 512 image is converted to about 1,610 tokens. - Use the Cohere Embed Multilingual models when:
- Instead of English, the documents are written in one of the supported languages.
- The documents are written in more than one language and those languages are one of the supported languages.
On-Demand Mode
See the following table for this model's on-demand product name on the pricing page.
| Model Name | OCI Model Name | Pricing Page Product Name |
|---|---|---|
| Cohere Embed Multilingual Image 3 | cohere.embed-multilingual-image-v3.0 |
Embed Cohere |
Dedicated AI Cluster for the Model
To reach a model through a dedicated AI cluster in any listed region, you must create an endpoint for that model on a dedicated AI cluster. For the cluster unit size that matches this model, see the following table.
| Base Model | Fine-Tuning Cluster | Hosting Cluster | Pricing Page Information | Request Cluster Limit Increase |
|---|---|---|---|---|
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Not available for fine-tuning |
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In the preceding region list, models in regions that aren't marked with (dedicated AI cluster only) have both on-demand and dedicated AI cluster options. For on-demand mode, you don't need clusters and you can reach the model in the Console playground or through the API.
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If you don't have enough cluster limits in your tenancy for hosting an Embed model on a dedicated AI cluster, request the
dedicated-unit-embed-cohere-countlimit to increase by 1. - Review the Cohere Embed Multilingual Image 3 cluster performance benchmarks for different use cases.
OCI Release and Retirement Dates
For release and retirement dates and replacement model options, see the following pages based on the mode (on-demand or dedicated):
Embedding Model Parameter
When using the embedding models, you can get a different output by changing the following parameter.
- Truncate
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Whether to truncate the start or end tokens in a sentence, when that sentence exceeds the maximum number of allowed tokens. For example, a sentence has 516 tokens, but the maximum token size is 512. If you select to truncate the end, the last 4 tokens of that sentence are cut off.