Instructions to use NeelNanda/SoLU_1L512W_C4_Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeelNanda/SoLU_1L512W_C4_Code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeelNanda/SoLU_1L512W_C4_Code", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9672733141ffbf5cb2e91ab751b919bc9ca94c169336a0a7bde2de2ca00a091
- Size of remote file:
- 213 MB
- SHA256:
- 948cbfc6badcd294409ffd8ac06d3813aaa0ac27aa84e95249c1280ac3db9fd8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.