Instructions to use CLMBR/full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 738b57fe2288cfcc163b8fa223e5218d86f2f9e105a5dcd09ccebff7cf159c13
- Size of remote file:
- 627 Bytes
- SHA256:
- 3fe6cec8b325de5849955f7948d912672747776ccd3e6c323c13591d524918df
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