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:
- 16de98ea272ef8e49ec27a5e50e4ecf5ece08f0a17aada0824476165be347966
- Size of remote file:
- 272 MB
- SHA256:
- a01bc122cd62ab2b58785c7e1e8f02c385f18d6377aec99a25dbce324cce0343
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