Oracle Machine Learning AI models
|
Model name |
Description |
Dimensions |
Size (MB) |
Last Updated |
Download |
|
all_MiniLM_L12_v2 |
This is a SentenceTransformers model suitable for semantic similarity search and clustering use cases. |
384 |
116.92 |
7/15/2024 |
|
|
multilingual_e5_base |
This is a multilingual sentence-transformer model that supports 100 languages. Supports text embedding, translation, and multilingual understanding. Features 12 layers with 768-dimensional embeddings for multilingual tasks. |
768 |
1040 |
2/17/2024 |
|
|
multilingual_e5_small |
This is a multilingual sentence-transformer model that supports 100. Supports text embedding, translation, or multilingual understanding. Optimized for efficiency, it can handle multiple languages while maintaining a smaller size for faster inference and reduced computational requirements. |
384 |
76.8 |
9/9/2024 |
|
|
clip_vit_base_patch32_txt |
This is a text encoder that produces embeddings compatible with the CLIP image encoder. Enables text-to-image search and similarity matching between text descriptions and images. |
512 |
243.57 |
1/29/2021 |
|
|
clip_vit_base_patch32_img |
This is an image encoder that produces embeddings compatible with the CLIP text encoder. Enables image-to-text search and similarity matching between images and text descriptions. |
512 |
335.38 |
1/29/2021 |
To learn how to install these in your Oracle Database, see: