Instructions to use CLMBR/binding-domain-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-domain-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-domain-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fbeb2e04220da7460058499af0a59f2ca813073ed53ea38e8a2b4eec094f90a
- Size of remote file:
- 4.22 kB
- SHA256:
- 55072402d1e1d3e81df5a48daa3dc10218df9ac0f1663a8be023ff9a0f2dabd6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.