Instructions to use CLMBR/binding-case-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75228b3d69532a8b1207dba98aa567bb4f2dc10cebc23446e53c9696c3b3f283
- Size of remote file:
- 4.22 kB
- SHA256:
- 9168750dcacc80f378a669d07e77b422bb5b5ec74e40e768b7adf60cd923f4ea
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