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:
- c50dfb0f51e51f339bbee5069021de5d23ec3fa9f0cc991945a1d8283b90bc62
- Size of remote file:
- 4.22 kB
- SHA256:
- d24afba2b104c17b01ce64cf827a09fcbaef0e1845cb22970e903c99bdc805bc
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