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:
- 2f9d6d284586aa78782b4fd4fc118468b88c58bc468f851cd6511c402393aeec
- Size of remote file:
- 627 Bytes
- SHA256:
- 4eafdeabfeda5c9fa38cbbdabab7647c9d79e2312a8e10d317b3ecc03478a243
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