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: 278 Bytes
0d1a188 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | [
{
"idx": 0,
"name": "0",
"path": ".",
"type": "sentence_transformers.models.StaticEmbedding"
},
{
"idx": 1,
"name": "1",
"path": "1_Normalize",
"type": "sentence_transformers.models.Normalize"
}
] |