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:
- 5f3a4729ff8bd80760c87e5c204d9faa62d04276e894ebc7bb655987b6636fde
- Size of remote file:
- 544 MB
- SHA256:
- 6b6fd6f466c660a07602ca25ecc2498a7e3089de37ad03ac4ae24c69cb0c7b71
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