Instructions to use CLMBR/passive-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/passive-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/passive-lstm-3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be4f362aa0e1503bfa2035d1003f81bcf8dc124d2808f7ddc9aa64a2fd550ba1
- Size of remote file:
- 4.22 kB
- SHA256:
- aed3e9ad17c1101f9fbdbd5642a54d22efe20d811a52ad4fb23899cdbe87a264
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