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:
- 0e9cab20b4726b9239526886f6a0a233f7121a179797dd3675436f4e00bcec2c
- Size of remote file:
- 272 MB
- SHA256:
- 99cb9297197dfa674a86dac43d2bea955e608e52d44947caf5a9e46dc2a590ce
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