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:
- ff268fb7acadb836611f1aa7c8a77e2e3c58f4c16b5b6f67c9b60fedfe54b632
- Size of remote file:
- 272 MB
- SHA256:
- 5a8a6cc12547d75a4954f29ec62c3cd06a4eb569f365dd1be4e566149e0b0e53
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