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:
- 95a40a113ec7c1d974181d4902340a86ebbfe7b73616a8aa7b8d021be3579e77
- Size of remote file:
- 272 MB
- SHA256:
- ca0970c2e79f83dd26819e1084183c093b8040735c014b4050e05d2d4f37a9d1
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