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: 97 Bytes
0d1a188 | 1 2 3 4 5 | {
"normalize": true,
"embedding_dtype": "float32",
"vocabulary_quantization": 61826
} |