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:
- b97296f138c98ba32939dd23ab2b067e47b69b0e5561c4e2fd0a67e9a9292b8d
- Size of remote file:
- 627 Bytes
- SHA256:
- 3d12d105a7469c3153c58449f88f3045e321b7920938343ace82314f0311d51c
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