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:
- 54e59b3163a26bbd42b6b20d8d3d63c771c35042e9c0cfab73473d1b9e69ef77
- Size of remote file:
- 4.22 kB
- SHA256:
- e8e5e10199c70543fe6d2ac1e12e6d78dc91c3ee01e8b8be32960aa362e691ae
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