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:
- 429dcafba4cd9e470868aad7e589254e48f9b89fcc687a07fd9f67b60d3ccaae
- Size of remote file:
- 627 Bytes
- SHA256:
- 8de62463223e68c9fb009c66013e0e09d63d368df5c717f713ab44e67aacf1d8
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