Instructions to use Luca0867/selfinstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luca0867/selfinstruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Luca0867/selfinstruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5da7090119b44eb27ca53b1a3d23f1058e009a6ab7a19bc9b1255616ca14f9c
- Size of remote file:
- 5.78 kB
- SHA256:
- 1c66a071d973aff68703b298dcdb69aa649a61d2433da5e0df5e296118d4f7a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.