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:
- 94257388e1b27cfc1a5f6de4179922b02128c0ad60c843960b90ea0e8aa7e550
- Size of remote file:
- 272 MB
- SHA256:
- bd12a0d216fd3c059cdc158c11bba362a4d9c758e03721f400cc884f6ed20512
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