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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceeed5d759e8be4ad23c9c29970db6ee59daa5cc8d77ae3e74ae50211783b8e3
- Size of remote file:
- 4.22 kB
- SHA256:
- 07d3b25cef1d21c530cc41d64edf48ecb623602ba36e9fad4ea9f1584e088396
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