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:
- cf0f8e35f8d9058e912e127a4e2a01d90efc3b7e78e65ba4724b17395807c241
- Size of remote file:
- 4.22 kB
- SHA256:
- cf5474f2d552fd0002844f53fe772e947d6b093e34988021adf13294c6997fe4
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