We present a sentence transformation model that generates semantically similar sentences. Our model is based on the Sentence-Transformers architecture and was trained on a large dataset of sentence pairs. We evaluate the effectiveness of our model by measuring its ability to generate similar sentences that are close to the original sentence in meaning.
https://api.deepinfra.com/v1/openai/v1/embeddings| Model | Context | Max out |
|---|---|---|
| all-MiniLM-L12-v2 | — | — |
| all-MiniLM-L6-v2 | — | — |
| all-mpnet-base-v2 | — | — |
| clip-ViT-B-32-multilingual-v1 | — | — |
| clip-ViT-B-32 | — | — |
| multi-qa-mpnet-base-dot-v1 | — | — |
| paraphrase-MiniLM-L6-v2 | — | — |
/v1/models/deepinfra/sentence-transformers/all-MiniLM-L12-v2We present a sentence transformation model that generates semantically similar sentences. Our model is based on the Sentence-Transformers architecture and was trained on a large dataset of sentence pairs. We evaluate the effectiveness of our model by measuring its ability to generate similar sentences that are close to the original sentence in meaning.