Instructions to use CLMBR/old-rel-cl-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3319eca81f970f8d367b9c74560323107b25963517903316a7e62e5df38f204
- Size of remote file:
- 4.22 kB
- SHA256:
- 30eb98531022c14d9e26e91834fb3b2a0a4d40a647c2d4101d28eea26f5b23da
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