Instructions to use CLMBR/old-full-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-full-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-full-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb5d2f1e935e7d535a682d823d4fa86c3eff0d3ccd07a9899e0219ddd68d1294
- Size of remote file:
- 272 MB
- SHA256:
- bd41ae854a634b350f5ec3fd9f61d93add1e1a266cb946e60843374fa4c9edf1
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