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:
- 66bfd2f9110b39e32b9ec2da3216a8ce2ba03be12063992dab8ea3b99a9b2e3b
- Size of remote file:
- 272 MB
- SHA256:
- 3cafb6543dd602e9af54f6677d9014ba0b3e5c563f52768aeccb2fbd2fa44915
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