Instructions to use sordonia/arrow-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sordonia/arrow-example with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sordonia/arrow-example", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba5ae2b650a33d1869ea758c78b0b729f511a06b76f98bcc66eb7546d0f222af
- Size of remote file:
- 19.4 MB
- SHA256:
- e70fd1a353e2fc9f6a9e8e00da2f7e0112c712354262a35c61ed4b3e4404df5a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.