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:
- e65ed7b43a9033fb1ed09f3f802c86c872c0a2b918662f00df2575efd95e6d21
- Size of remote file:
- 627 Bytes
- SHA256:
- 6dea588cd40fb48ff9953876b189a6b0955e628f2c92c3401815376399185076
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