Instructions to use WiseIntelligence/static-bge-code-v1-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use WiseIntelligence/static-bge-code-v1-st with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("WiseIntelligence/static-bge-code-v1-st") - sentence-transformers
How to use WiseIntelligence/static-bge-code-v1-st with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("WiseIntelligence/static-bge-code-v1-st") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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base_model: BAAI/bge-code-v1
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language:
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- zh
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- en
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library_name: model2vec
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license: mit
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model_name: bge_static_512d
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tags:
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- embeddings
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- static-embeddings
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- sentence-transformers
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---
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```python
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from model2vec import StaticModel
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# Load a pretrained Model2Vec model
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model = StaticModel.from_pretrained("WiseIntelligence/static-bge-code-v1-st")
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# Compute text embeddings
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embeddings = model.encode(["Example sentence"])
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```
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