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:
- 8214e9c8b1b0c964a1c6ecb7c6942cf2b5fed766fdfa18c926315b8a67f41474
- Size of remote file:
- 4.22 kB
- SHA256:
- 5fd81fc219a7e4898014ea4f603b2dbbe13b786e4b11424604c03329002dc280
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