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:
- 73b6f9ca0a3f36acd7899e294cc097dd759a0317f5bf2c2ccfd74719cc5daa2f
- Size of remote file:
- 272 MB
- SHA256:
- 8359cac520f82332ae058af039f165d71ad6e10651fa46d46d94dfc7c29d170f
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