Instructions to use not-lain/BaseModelWithConfigAndNamedParameter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use not-lain/BaseModelWithConfigAndNamedParameter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("not-lain/BaseModelWithConfigAndNamedParameter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed2343e39dd1634a8a71b1f47d340753897285edd856a166430b424513a10dac
- Size of remote file:
- 156 Bytes
- SHA256:
- b37b2dcad99e2add0defb5e46150d4cac9ce5e101d0241d0e6799196decb8dd3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.