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:
- e62cb8c232bc93d565d5819fac4669975e61518b750f6d618eec7420faee3ca4
- Size of remote file:
- 627 Bytes
- SHA256:
- edb751c373a8bfc88e1cb36b82d18091e66771e1d89dc289ff8953481ce5a115
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