Instructions to use NeelNanda/SoLU_6L768W_C4_Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeelNanda/SoLU_6L768W_C4_Code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeelNanda/SoLU_6L768W_C4_Code", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67f00bfae0bc47fb6c50b0ffc3883167417951ac8319ad7a51f3a60a27b91f62
- Size of remote file:
- 476 MB
- SHA256:
- 07aeaa1be17971ebd7efd860deb1cf6ebd0cc437ecc85a212ec29d0b1040f489
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.