Instructions to use Team-PIXEL/pixel-m4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-m4 with Transformers:
# Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Team-PIXEL/pixel-m4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfd0f313c10427884b3c677364d7afa430ac90e31f114c67c019a009995cd5ab
- Size of remote file:
- 449 MB
- SHA256:
- 6aa0642d46fe211727fefc5ac6e0bc28efa8511d1f0d9e5eee1987fa821600bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.