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:
- 5f84c10019148d2609a0ac67e7d552e135fda3668b660ecb547729bb8599e9e1
- Size of remote file:
- 544 MB
- SHA256:
- 4e9eeea6d67e97b8292c68c96ce8d5d4e47197344b0f94eb547ba525e43b8e25
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