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:
- d75b0f34665086c468887c0ae1fa80725d18332c1e5c87665da0d0b24b8097f3
- Size of remote file:
- 14.6 kB
- SHA256:
- 7a19d82262cff2129590f3953b54cf66353659c4e37254ebdc6b71d2334b6c26
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