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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e098df9ea8211afa4a3291d3df6f89fb33a8b375cc63ba604f606da43c4326ed
- Size of remote file:
- 544 MB
- SHA256:
- d1670d85ddf0188fd0f593efdf245b46fbba539c0e25250a88b74f632f203cef
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