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:
- 7666305951a8374b618352a3ecf8b8e57df653afba509d5de9d0230cbb12c312
- Size of remote file:
- 272 MB
- SHA256:
- ddb4b6435bd7fa7bec60919506ec6fbc61b691ed009071937c342f4516d6ca4b
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