Instructions to use CLMBR/full-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23f244ba5b244be8b452acfc0832a122279d29f0c0af661db2e0de79d879e27b
- Size of remote file:
- 272 MB
- SHA256:
- 9abdc0d7ba9911596b094b37dcf3ce5d4c716cdf142ef9484a4749c025947822
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