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:
- 7b75914929a9a5ca70be4c07e0ceb7b07f56e5479409048fcba0dc3b2c32da37
- Size of remote file:
- 4.22 kB
- SHA256:
- 924ee4504115ca2f671dc850f0b13c506e5d8e30553a2d5bf0dab771fc679299
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