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:
- 0a2be33a5fc033d81f6420233b78eb2ae5fa2e0725498fd6c9457d19e8cbb1ec
- Size of remote file:
- 14.6 kB
- SHA256:
- 192ee8a9e7800dd23c3b3b82c869b7bb4fd7e34e99f50f922112e7ede80c2f2b
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