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:
- 864f2a3ff144b3cbd7800054c76c0ffdcec37794cf91bc7e28b0e32933f127cf
- Size of remote file:
- 14.6 kB
- SHA256:
- fa74b1c5b1dc746e9b713eac27b690ea9a1a149355fcffa9f7284aa9fd54628f
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