BAAI/bge-base-en-v1.5
BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text, and the pre-trained model cannot be used for similarity calculation directly, it needs to be fine-tuned
Try the model with a sample request using the same API shape shown in the reference page.
You can add more items with the button on the right
Custom instruction prepending to each input. If empty, no instruction will be used.. (Default: empty)
The service tier used for processing the request. When set to 'priority', the request will be processed with higher priority (only applies to models that support it).
Enter a JSON array
whether to normalize the computed embeddings
The number of dimensions in the embedding. If not provided, the model's default will be used.If provided bigger than model's default, the embedding will be padded with zeros. (Default: empty, 32 ≤ dimensions ≤ 8192)
Adjust settings and run the demo to see the model output generated here in real-time.
