Instructions to use dominguesm/CodeRankEmbed-Model2Vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use dominguesm/CodeRankEmbed-Model2Vec with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("dominguesm/CodeRankEmbed-Model2Vec") - Notebooks
- Google Colab
- Kaggle
File size: 161 Bytes
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language:
- code
license: mit
library_name: model2vec
tags:
- model2vec
- embeddings
- code
- retrieval
- static-embeddings
---
WIP
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