Instructions to use ibm-granite/granite-20b-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-20b-code-instruct-accelerator with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibm-granite/granite-20b-code-instruct-accelerator", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43ad1ceecae44bdfd82329e5427671622a1a5e75d8869f93d0ef6ceb9bc96b06
- Size of remote file:
- 3.37 GB
- SHA256:
- 9519727c3beb5569b89d74e55929db90d3bfbce69e796afea66d0b02a55d76d2
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