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:
- 5e480815d9ecb6eea4537076cc30df697424137e5fcd5db6abfe599ef6b00eff
- Size of remote file:
- 14.6 kB
- SHA256:
- 70a9292529aa3c58483ad92748bca3db5b08fb04b7888943f3896f9cd0743b7f
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