Instructions to use CLMBR/binding-case-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2062b330441a1a98ea057a6e24a10de35ca7d3c3f40141a9387317b39d69a0fe
- Size of remote file:
- 4.22 kB
- SHA256:
- 134870da42e456e907545cd998ffe70cc5cdc291bf0dd2fced663dd89513971a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.