Instructions to use amekhrishvili/m2v-user-bge-m3-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use amekhrishvili/m2v-user-bge-m3-384 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("amekhrishvili/m2v-user-bge-m3-384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24a35703fe5b4578e3198b252392229c2c2ad7d0d38b59ffac9a2526854501dc
- Size of remote file:
- 70.9 MB
- SHA256:
- 5c741f516062013f8d6722d413eba63a8fcc557dce3af54facd56ea06310c42a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.