Instructions to use CLMBR/full-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c05238c3698181840c82994400df6ba6b1575b104823031876b4c56f03d47dc
- Size of remote file:
- 4.22 kB
- SHA256:
- 13c0c46550dbd6c23873e503202c59144e7edf4e6f9c21242f52487c978e1cb4
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