Instructions to use ibm-granite/granite-3b-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-3b-code-instruct-accelerator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibm-granite/granite-3b-code-instruct-accelerator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ibm-granite/granite-3b-code-instruct-accelerator: direct link, hf CLI and curl.
- Browser
- Download file 860 MB
-
https://huggingface.co/ibm-granite/granite-3b-code-instruct-accelerator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ibm-granite/granite-3b-code-instruct-accelerator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ibm-granite/granite-3b-code-instruct-accelerator/resolve/main/pytorch_model.bin
860 MB
- Xet hash:
- dd737310ff3d6e47e334802cd504617f453912fab131772411dadd668a288fb1
- Size of remote file:
- 860 MB
- SHA256:
- 56c07e0871b129cf5d9428ca91517810207bb83c08b23fb8773624eaf290ddf4
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