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:
- 253382d3a3685a5833c064903db7cf81f7acb34d40b1683b655f2173d739108c
- Size of remote file:
- 627 Bytes
- SHA256:
- ecad2a55dec5eaefcc59529b13f5a1f5e0186b816fc32d65b07303348395faf2
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