Instructions to use CLMBR/old-full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27b5f9cdcf0fbf72632ee8bf12b9651991abb241a3dc824366443dca29107fd7
- Size of remote file:
- 272 MB
- SHA256:
- 8330a4470f1d899c4e849bf4dd1e6fc5c41448de40939cc492e19b0aa0394960
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