Instructions to use CLMBR/binding-case-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f83527907847e45b45aef06c5c287581d705191f077999af1dca218e4898cc50
- Size of remote file:
- 4.22 kB
- SHA256:
- 62707f0e6ca5413045e2f9dea28cbdcf86b97d0522e0b080433570fb016124dd
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