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:
- 6027c81c3e193843e9337ee55a61080a23618a32355c85435e5e144ce5188490
- Size of remote file:
- 14.6 kB
- SHA256:
- 7637e098d0cc5beae838f4e6f39c709b77ac2af5ffba811d25ebd549e6a63c43
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