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:
- 224126844d3b475bcda7b88d2ac4a67197121bf454653eb3667a3d237ab364d9
- Size of remote file:
- 544 MB
- SHA256:
- 73b631fb30b29cec0ed0fdfad85b53f6ef932c1b9fca078df069910230a2bf11
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