Views
No views yet
1try (SentenceTransformer model = SentenceTransformer.fromPretrained("models/all-MiniLM-L6-v2")) {
2 float[] embedding = model.encode("Hello, world!");
3 System.out.println("Dimension: " + embedding.length); // 384
4}| Property | Value |
|---|---|
| Architecture | MiniLM-L6 (6 layers, 384 hidden) |
| Task | Sentence embeddings / semantic similarity |
| Output dimension | 384 |
| Max sequence length | 256 |
| Training data | 1B+ sentence pairs |
| Original framework | PyTorch (sentence-transformers) |