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:
- 2c0876ee60fdb41f3ac7ff353cdabc6f9c6b897f7b29f73b7b09d1298d0ab3b8
- Size of remote file:
- 272 MB
- SHA256:
- 2c17a943668bdf6fca01d082a363e25a60d6e3ae5f40e991b846eaf6127580a5
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