Instructions to use blackbeard334/CodeLlama-7b-Instruct-hf__reverse_engineer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blackbeard334/CodeLlama-7b-Instruct-hf__reverse_engineer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blackbeard334/CodeLlama-7b-Instruct-hf__reverse_engineer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 934e470ab18c7e6fcf391cc08921e6a67eaace2e86acf9629d86069a1c5a2f7c
- Size of remote file:
- 33.6 MB
- SHA256:
- 9eb01252d301ae1004128111af8311c0fa6af85abcc75809915836400084c040
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