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:
- 05a0be35da378ead55619bfa8ee48f3fec7a94ed55c0b77c65d9f12c9390e14d
- Size of remote file:
- 272 MB
- SHA256:
- c1c50602bb6985995005d17159c4ecfa9e0a40ef3829a7f25d247591ce68eabb
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