Instructions to use Sakib323/granite-3b-code-base-code-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakib323/granite-3b-code-base-code-generation with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sakib323/granite-3b-code-base-code-generation", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25f58cf699660c4dfb5ea6f8b61a3915dec08e88f3e0be00aa9d4ed877a150a9
- Size of remote file:
- 42 MB
- SHA256:
- 17619092fa0fec163e7feddd5a874851b7a1ae39470793fa871c5ba73403a738
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