Instructions to use CLMBR/full-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce85543a655ef8af07c45a8c25f0b31434766377e8100fed71c9ab0696821c24
- Size of remote file:
- 4.22 kB
- SHA256:
- b38c51c7844f6c65150a28e30f47432573e11e6d76ffc9d15e35fc9682e91279
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