Instructions to use kmin06/small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmin06/small with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kmin06/small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b4e79dc50edf7ffa7356d5cbba2e975b2818999da9cc245a9db6ba807ceb390
- Size of remote file:
- 5.56 kB
- SHA256:
- d186f45d3e7e696b0ca518c556df46f43b5c129da06c02531a2bb2dfc0ed11c0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.