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:
- 54c2f5b94547f161112d013a9d08278236e7065102f6ee534f54c028de592253
- Size of remote file:
- 4.22 kB
- SHA256:
- 74f22d3340329652d98951a0996e3f68a8f3b8fe1696cc478e89b922eb248200
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