Instructions to use CLMBR/old-rel-cl-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-0 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5b8a4b40335de113bbd5bd93afef49518e84213b22b412c8f523ef9709677a6
- Size of remote file:
- 627 Bytes
- SHA256:
- 166fc463206614ed3a7cc2fa4f61e4bc261d892a66dc43f51bb228c73a63341f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.