Instructions to use wrighted/zephcodellama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wrighted/zephcodellama with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wrighted/zephcodellama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- d5d58b070e1e2ef389a892063c0b21bdd5c5bdb33b1dc3e8f5f12729191a7491
- Size of remote file:
- 160 MB
- SHA256:
- 00a7654334a87d27ae9c51a0d8ab33677b1dcf615e09183800f1bf5544c70131
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.