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:
- 46c41e6144644d391a72035048a965f4086eb0b0e88bc6a7e6bee3b4a479dd8c
- Size of remote file:
- 272 MB
- SHA256:
- 53a6ee728256441dc553bbc164dc26150b9cc8fd8c9e2a6dfe94533604845947
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