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:
- 730e3b7226e91807daa054880c5b81bf7c5d39e06b9efbeaaa1b1636a2619204
- Size of remote file:
- 544 MB
- SHA256:
- f4694cdd703b4676c9ae078b0be0f7a8820a5c7e6e9b6d3a0890e5097211357b
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