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:
- f0c191e2d8300e59721305987ee946cfe46590666a04c638ae1d39e6828b37f9
- Size of remote file:
- 627 Bytes
- SHA256:
- 9d9a99d11e478ff90be9e521b6996b3f216d96fda695d7811bbf97e779c4dee2
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