Instructions to use ibm-granite/granite-34b-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-34b-code-instruct-accelerator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibm-granite/granite-34b-code-instruct-accelerator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ibm-granite/granite-34b-code-instruct-accelerator: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/ibm-granite/granite-34b-code-instruct-accelerator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ibm-granite/granite-34b-code-instruct-accelerator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ibm-granite/granite-34b-code-instruct-accelerator/resolve/main/pytorch_model.bin
1.36 GB
- Xet hash:
- 37002238def70dd1bc0ea99ae3bbbf3c9c85ea7af4738ef216d748a37111088e
- Size of remote file:
- 1.36 GB
- SHA256:
- fe2a3b672bde2d07c7421a55b74fe64e6f35ecd3213e578c9b8bd9e16dc58bc6
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