Instructions to use CLMBR/old-full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d87a8da9ef758a3bd041ba0e2768557b0cf7e62be9874d650e325e421425d507
- Size of remote file:
- 4.22 kB
- SHA256:
- b10e24399e6d864f8db71b177398c7b09a00d9db1c45a9f555eda2c641c718c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.