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:
- e0fc2e7264d14069905934e4d03d73e1dbd94f302a4330db5c7087a508f308bb
- Size of remote file:
- 544 MB
- SHA256:
- c0145d8ba9e8f4460b12b72da43f248b459fc1df3b0afd424993a2bbca071cbc
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