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:
- a56c6f354e8e90e33e565db0a3a08619117aa233324a68538d09e09e9cc7e66d
- Size of remote file:
- 544 MB
- SHA256:
- e6ab4878255c69ded7fc2dbe22ef97d19723f060abd35896ba60e0c16608d091
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