Instructions to use ibm-granite/granite-8b-code-instruct-accelerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-8b-code-instruct-accelerator with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibm-granite/granite-8b-code-instruct-accelerator", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d20885ea7f57762c9162fd61e06178666cf8d6e0892e5e711a2f08fd16815f4
- Size of remote file:
- 4.19 GB
- SHA256:
- 9953d73255cc44b56f1d0c84fb0413a1da723a26094fe5d6541314275d9969b4
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