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:
- f1ed5670b206ff37a33e9056134ac00dad0ecbce113462bde9b1cb1f56444903
- Size of remote file:
- 544 MB
- SHA256:
- 593122b3123718bdd2002feac9fb749da59d6beba04f1a7a76cd19810759d7d8
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