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:
- 93f03948f134a4c8f5f0b7f052516f7b3c9f8dda99496131db9754b73e0e5c3e
- Size of remote file:
- 544 MB
- SHA256:
- d387c86dfe91ec0457a4e23dc5346786a1978e96f4c68cea2ebb0af1f2ee3bfa
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