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:
- 673923333180599b66c48747e86e2706338d527aa36ebc909384c20b952ed4e7
- Size of remote file:
- 14.6 kB
- SHA256:
- e43c7850224de8f9744f4f9971ee1cbc899e5ff66e602b2799dea051c89c98e1
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