| base_model: BAAI/bge-code-v1 | |
| language: | |
| - zh | |
| - en | |
| library_name: model2vec | |
| license: mit | |
| model_name: bge_static_512d | |
| tags: | |
| - embeddings | |
| - static-embeddings | |
| - sentence-transformers | |
| ```python | |
| from model2vec import StaticModel | |
| # Load a pretrained Model2Vec model | |
| model = StaticModel.from_pretrained("WiseIntelligence/static-bge-code-v1-st") | |
| # Compute text embeddings | |
| embeddings = model.encode(["Example sentence"]) | |
| ``` | |