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:
- d477227a4901c086daf364c11caf038e9c5f87afbcebc7bd65925f671d5d027c
- Size of remote file:
- 544 MB
- SHA256:
- 8b197fb518b37701855d47fe1c901f480ef5c4840db79b921ec694caf6a0b853
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