Instructions to use NeelNanda/GELU_2L512W_C4_Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeelNanda/GELU_2L512W_C4_Code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeelNanda/GELU_2L512W_C4_Code", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce646eb27381ba8832f4b625ce61715c483b1d8b63f4e80d7037d243415c8ef0
- Size of remote file:
- 450 MB
- SHA256:
- 7849c4f3fb73e2d91607e6bb6087085da1897f1e30ece34955155f35331fecf1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.