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:
- 3a4aa82afe50f7e1f9b2ce2628b0fcb21861383220af4bebafd2e8f2184e3366
- Size of remote file:
- 14.6 kB
- SHA256:
- a4b5b483b24ef1d138ef547940c113d01f3939b94be10cfd2fb71abd4b3b2403
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