Instructions to use abhinavp/debug_fict-full-lstm-42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhinavp/debug_fict-full-lstm-42 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("abhinavp/debug_fict-full-lstm-42", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cea2d3006b3924b00449dd808165ee34eb876d9d98a623ae206811b9b79c1ad0
- Size of remote file:
- 4.16 kB
- SHA256:
- baffe53b8f8b613e45dfc80a5db922518a94ed9ef3748800ea2d2e11d33fbc0d
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