Instructions to use NeelNanda/SoLU_3L512W_C4_Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeelNanda/SoLU_3L512W_C4_Code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeelNanda/SoLU_3L512W_C4_Code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28b8e7adecac551f167673dda8bf290815dd0cc533d50fbd6d093b33bdf982ef
- Size of remote file:
- 241 MB
- SHA256:
- 4c50aee47d2d87659f949767f91c4dbcb73d27832054f377eb956925468eac8f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.