Instructions to use CLMBR/binding-c-command-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4b81dfe2d031f0526cf38fe46913dd21f5360e88ebe84afac381076adc59e5b
- Size of remote file:
- 272 MB
- SHA256:
- cccf05f756111417912a6e2eaae3e7ef14ba3b75a772fb0bf68d359bb4dd7dbc
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