Instructions to use aiintelligentsystems/nextlevelbert-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiintelligentsystems/nextlevelbert-64 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aiintelligentsystems/nextlevelbert-64", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54bf7bbb42b8ccf356168aee620ebfef16eeca71c50c8517f72b2ec43a94ce77
- Size of remote file:
- 134 MB
- SHA256:
- 03417fba8865ec924f0eb3d5974552f8b62219e50ca664efcf01eed041e829e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.